Every way
to use the major models.
Closed models like Claude and GPT — link to the cheapest API provider. Open-weights like Llama, Kimi, DeepSeek — choose hosted inference or self-host on rented GPUs.
Find the sweet spot.
Higher = stronger benchmark composite · further left = cheaper input
315 models match — reset filters
Open-weights models.
Run yourself on cheap GPUs, or use a hosted-inference provider.
Llama 3.3 70B
Meta's best-in-class open-weight LLM — 70B class.
Llama 3.1 70B
Llama 3.1 70B — production workhorse, superseded by 3.3 but still widely deployed.
Llama 3.1 8B
Meta's most popular open-weight small LLM — fits anywhere.
Llama 3.1 405B
Meta's largest open-weight LLM — dense 405B, frontier-class at launch.
Llama 3.2 3B
3B Llama — laptop-class chat + RAG.
Llama 3.2 1B
Meta's smallest Llama — mobile + on-device target.
DeepSeek V3
DeepSeek's flagship MoE — 671B total, 37B active, frontier-class.
DeepSeek R1
DeepSeek's reasoning model — RL-trained, frontier-class, MIT-licensed.
DeepSeek R1 Distill Llama 70B
70B Llama distilled from DeepSeek R1's reasoning traces.
DeepSeek R1 Distill Qwen 32B
32B Qwen base distilled from DeepSeek R1.
DeepSeek R1 Distill Qwen 14B
14B distilled R1 — laptop-friendly reasoning.
DeepSeek R1 Distill Qwen 7B
7B distilled R1 — runs on any modern GPU.
DeepSeek R1 Distill Qwen 1.5B
Tiny distilled R1 — phone / browser deployable.
Gemma 2 27B
Google's pre-Gemma-3 open-weight workhorse.
Gemma 2 9B
9B Gemma 2 — single-GPU local target.
Gemma 2 2B
Tiny 2B Gemma 2 — laptop / mobile.
Gemma 3 1B
1B Gemma 3 — edge / mobile.
Qwen 2.5 72B
Alibaba's flagship open-weight LLM — 72B dense.
Qwen 2.5 7B
7B Qwen 2.5 — most popular Qwen variant on Ollama.
Qwen 2.5 14B
14B Qwen 2.5 — sweet spot for single-GPU local hosting.
Qwen 2.5 32B
32B Qwen 2.5 — laptop-class workhorse.
Qwen 2.5 3B
3B Qwen 2.5 — laptop / edge target.
Mistral Large 2
Mistral's flagship open-weight model — 123B dense.
Mistral 7B v0.3
The current Mistral 7B — adds function calling + extended vocab.
Mistral 7B v0.2
Mistral 7B v0.2 — earlier 32K context revision.
Mistral 7B v0.1
Original Mistral 7B — historical reference.
Mixtral 8x22B
Mistral's open MoE — 141B total, 39B active.
Mistral Nemo 12B
Mistral × Nvidia collab — 12B Apache-licensed, multilingual.
Kimi K2
Moonshot's frontier open-weight MoE — 1T total, 32B active.
Kimi K2 Thinking
Moonshot's open-weight reasoning variant — extended chain-of-thought training on top of Kimi K2.
Kimi K2.6
Long-horizon coding + autonomous-execution upgrade over K2.5.
GLM-4.5
Zhipu's frontier open-weight MoE — 355B total, 32B active. Strong agentic + reasoning marks for an open model.
GLM-4.5-Air
Smaller, cheaper sibling of GLM-4.5. 106B total, 12B active.
GLM-5.1
Zhipu's GLM 5.1 series — successor to GLM-5 on z.ai's API.
GLM-5
Zhipu's GLM 5 generation — closed flagship between GLM-4.7 and GLM-5.1.
GLM-5 Turbo
Faster, cheaper sibling of GLM-5 on z.ai.
Command R+
Cohere's open-weight RAG-optimized LLM — multilingual + tool use.
GLM-4.7
Mid-generation GLM 4.7 released between GLM-4.6 and GLM-5.
GLM-4.6
Incremental upgrade on GLM-4.5 — improved reasoning, same context window.
GLM-4.5-Flash
Lowest-latency, lowest-cost variant of GLM-4.5 on z.ai.
Yi-Lightning
01.AI's fastest production model. Tops the LMSYS Arena Chinese leaderboard.
Yi-34B
Earlier open-weight Yi release — bilingual EN/ZH, 32K-token context.
Hunyuan-Large
Tencent's open-weight MoE — 389B total, 52B active. Largest open MoE at launch.
InternLM 2.5 20B
Shanghai AI Lab's dense 20B open-weight. Strong long-context + tool use for its size.
MiniMax-Text-01
MiniMax's first open MoE — 456B total, 45.9B active. 1M+ context via Lightning Attention.
Baichuan2-13B
Bilingual EN/ZH open-weight. Strong for its size on Chinese-language benchmarks.
Qwen 3 235B
Alibaba's frontier MoE — 235B total / 22B active.
Qwen 3 32B
Dense 32B Qwen 3.
Qwen 3 14B
Qwen 3 8B
Qwen 3 4B
Phi-4
Microsoft's 14B small-LM workhorse — punches above its weight.
Phi-3.5 Mini
3.8B Phi — laptop / edge target.
Phi-3 Medium
Phi-3 Mini
GPT-OSS 120B
OpenAI's first open-weight LLM in years — Apache-licensed MoE.
GPT-OSS 20B
20B GPT-OSS — single-GPU local target.
TinyLlama 1.1B
1.1B Llama-arch model — 3T training tokens.
OLMo 3 7B
Allen AI's latest fully-open OLMo — model + training data + checkpoints.
OLMo 7B
Hermes 3 70B
Nous Research's flagship Llama fine-tune — agent-friendly.
Hermes 3 8B
IBM Granite 3.1 8B
IBM's enterprise-focused open-weight LLM.
AionLabs: Aion-1.0
Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepS...
AionLabs: Aion-1.0-Mini
Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains s...
AionLabs: Aion-2.0
Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing ten...
AionLabs: Aion-RP 1.0 (8B)
Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant ...
AlfredPros: CodeLLaMa 7B Instruct Solidity
A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by...
AllenAI: Olmo 3 32B Think
Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruc...
Arcee AI: Coder Large
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchN...
Arcee AI: Maestro Reasoning
Maestro Reasoning is Arcee's flagship analysis model: a 32 B‑parameter derivative of Qwen 2.5‑32 B tuned with DPO and chain‑of‑thought RL...
Arcee AI: Trinity Large Thinking
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, ag...
Arcee AI: Trinity Mini
Trinity Mini is a 26B-parameter (3B active) sparse mixture-of-experts language model featuring 128 experts with 8 active per token. Engin...
Arcee AI: Virtuoso Large
Virtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and e...
Arize AI Qwen 2 1.5B Instruct
Baidu: ERNIE 4.5 21B A3B
A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptio...
Baidu: ERNIE 4.5 21B A3B Thinking
ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined to boost reasoning depth and quality for top-tier performan...
Baidu: ERNIE 4.5 300B A47B
ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It ac...
Cogito V1 Preview Llama 70B
Cogito V1 Preview Llama 70B Turbo
Cogito V1 Preview Llama 8B
Cogito V1 Preview Qwen 14B
Cogito V1 Preview Qwen 32B
Deepcoder 14B Preview
Deep Cogito: Cogito v2.1 671B
Cogito v2.1 671B MoE represents one of the strongest open models globally, matching performance of frontier closed and open models. This ...
Deepseek Coder 33B Instruct
DeepSeek: DeepSeek V3
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous vers...
DeepSeek: DeepSeek V3 0324
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team...
DeepSeek: DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prom...
DeepSeek: DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities whi...
DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use pe...
DeepSeek: DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectu...
DeepSeek: DeepSeek V3.2 Speciale
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on D...
DeepSeek: DeepSeek V4 Flash
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated paramete...
DeepSeek: DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporti...
Deepseek OCR 2
DeepSeek: R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced an...
DeepSeek-V3-0324
DeepSeek-V3-0324, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token, an impro...
DeepSeek-V3.1
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase l...
Devstral Small 2505
EssentialAI Rnj-1 Instruct
EssentialAI: Rnj 1 Instruct
Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming,...
Facebook CWM
Gemma 2 9B It
Gemma 2B It
Gemma 3 1b it
Gemma 3 1B Pt
Gemma 3 270M It
Gemma 3 270M It Lora
Gemma 3 27B It
Gemma 3 27B It Lora
Gemma 3 27B Pt
Gemma 3 4b it
Gemma 4 31B It Lora
gemma-4-31B-it-turbo
Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input and generating te...
Gemma 4 E2B-it
Gemma 4 E4B-it
Glm 4.5 Air Fp8
GLM 5.1
GLM-5.1 is Z.ai's next-generation flagship model built for agentic engineering, with stronger coding capabilities and sustained performan...
GLM OCR
gpt-oss-120b-Turbo
Hermes-3-Llama-3.1-70B
Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better rolepl...
Holo3 35B A3b
IBM: Granite 4.0 Micro
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by ...
IBM: Granite 4.1 8B
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-t...
Inception: Mercury 2
Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Me...
inclusionAI: Ling-2.6-1T
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents...
inclusionAI: Ling-2.6-flash
Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-w...
inclusionAI: Ring-2.6-1T
Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both str...
Kwaipilot: KAT-Coder-Pro V2
KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engin...
L3.1-70B-Euryale-v2.2
Euryale 3.1 - 70B v2.2 is a model focused on creative roleplay from Sao10k
L3-8B-Lunaris-v1-Turbo
LFM2-24B-A2B
LiquidAI: LFM2-24B-A2B
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B ...
Llama 3.1 70B
Llama 3.1 Nemotron 70B Instruct HF
Llama 3.3 70B Instruct FP8 Lora
Llama 4 Maverick Instruct (17Bx128E) FP8
Llama 4 Scout 17B 16E Instruct Fp8 Lora
Llama 4 Scout (17Bx16E)
Llama 4 Scout Instruct (17Bx16E)
Llama Guard 3 8B
Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be u...
Magistral Small 2506
Magnum v4 72B
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anth...
Mancer: Weaver (alpha)
An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrativ...
Medgemma 27B Text It
Meta Llama 3.1 405B Instruct
Meta-Llama-3.1-70B-Instruct
Meta developed and released the Meta Llama 3.1 family of large language models (LLMs), a collection of pretrained and instruction tuned g...
Meta Llama 3.1 70B Instruct Turbo
Meta Llama 3.1 8B
Meta-Llama-3.1-8B-Instruct
Meta developed and released the Meta Llama 3.1 family of large language models (LLMs), a collection of pretrained and instruction tuned g...
Meta Llama 3.1 8B Instruct Awq Int4
Meta Llama 3.1 8B Instruct Turbo
Meta Llama 3.2 1B Instruct
Meta Llama 3.2 3B Instruct
Meta Llama 3.3 70B Instruct Turbo
Meta: Llama 3 70B Instruct
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high...
Meta Llama 3 70B Instruct Turbo
Meta Llama 3 8B Instruct
Meta: Llama 3 8B Instruct
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high ...
Meta Llama 3 8B Instruct Lite
Meta Llama 3 8B Instruct Reference
meta-llama/Llama-2-7b-chat-hf
meta-llama/Llama-3.3-70B-Instruct
Microsoft: Phi 4 Mini Instruct
Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high...
Minimax M1 40K
Minimax M1 80K
MiniMax-M2.5
MiniMax M2.5 is built for state-of-the-art coding, agentic tool use, search, and office work, extensively trained with reinforcement lear...
MiniMax M2.7
Mixture-of-Experts language model. M2.7 is capable of building complex agent harnesses and completing highly elaborate productivity tasks...
MiniMax: MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybr...
MiniMax: MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion acti...
MiniMax: MiniMax M2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application deve...
MiniMax: MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digita...
MiniMax: MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built...
MiniMax: MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn co...
Ministral 3 14B Instruct 2512
Mistral (7B) Instruct v0.3
Mistral: Codestral 2508
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks su...
Mistral: Devstral 2 2512
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer...
Mistral: Devstral Medium
Devstral Medium is a high-performance code generation and agentic reasoning model developed jointly by Mistral AI and All Hands AI. Posit...
Mistral: Devstral Small 1.1
Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboratio...
Mistral Large
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excel...
Mistral Large 2407
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels ...
Mistral: Mistral 7B Instruct v0.1
A 7.3B parameter model that outperforms Llama 2 13B on all benchmarks, with optimizations for speed and context length.
Mistral: Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache...
Mistral-Nemo-Instruct-2407
12B model trained jointly by Mistral AI and NVIDIA, it significantly outperforms existing models smaller or similar in size.
Mistral: Saba
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextu...
Mixtral 8X22b Instruct V0.1
Mixtral-8x7B Instruct v0.1
Mixtral 8x7B Instruct V0.1 FP8 Lora
Mixtral 8X7b V0.1
Molmo 7B D 0924
MoonshotAI: Kimi K2 0905
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model d...
Morph: Morph V3 Fast
Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the p...
Morph: Morph V3 Large
Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model...
MythoMax 13B
One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge
Nemotron 3 Nano Omni 30B A3b Reasoning Fp8
Nex AGI: DeepSeek V3.1 Nex N1
DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, ...
nim/meta/llama-3.1-70b-instruct
nim/meta/llama-3.1-8b-instruct
nim/meta/llama-3.2-11b-vision-instruct
nim/meta/llama-3.2-90b-vision-instruct
nim/meta/llama-3.3-70b-instruct
nim/mistralai/mixtral-8x22b-instruct-v01
nim/mistralai/mixtral-8x7b-instruct-v01
nim/nvidia/llama-3.1-nemotron-70b-instruct
nim/nvidia/llama-3.3-nemotron-super-49b-v1
nim/nv-mistralai/mistral-nemo-12b-instruct
Nous Hermes 2 Mixtral 8X7B Dpo
Nous: Hermes 3 405B Instruct
Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better rolepl...
Nous: Hermes 4 405B
Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mo...
Nous: Hermes 4 70B
Hermes 4 70B is a hybrid reasoning model from Nous Research, built on Meta-Llama-3.1-70B. It introduces the same hybrid mode as the large...
NousResearch: Hermes 2 Pro - Llama-3 8B
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Datas...
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct wit...
NVIDIA: Nemotron 3 Nano 30B A3B
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build special...
Nvidia Nemotron 3 Nano 30B A3b Bf16
NVIDIA: Nemotron 3 Super
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accu...
NVIDIA-Nemotron-3-Super-120B-A12B
NVIDIA Nemotron 3 Super is a hybrid Mixture-of-Experts (MoE) model engineered for highest compute efficiency and accuracy in multi-agent ...
Nvidia Nemotron 3 Super 120B A12b Bf16
Nvidia Nemotron 3 Super 120B A12b Fp8
Nvidia Nemotron Nano 9B V2
NVIDIA: Nemotron Nano 9B V2
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reaso...
Prime Intellect: INTELLECT-3
INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SF...
Qwen 2 (1.5B)
Qwen2.5 14B
Qwen 2.5 14B Instruct
Qwen2.5 1.5B
Qwen2.5 1.5B Instruct
Qwen2.5 32B
Qwen2.5 32B Instruct
Qwen2.5 3B Instruct
Qwen2.5 72B
Qwen2.5 72B Instruct
Qwen2.5 72B Instruct Turbo
Qwen2.5 7B
Qwen2.5 7B Instruct
Qwen2.5 7B Instruct Turbo
Qwen 2.5 Coder 32B Instruct
Qwen 2 (72B)
Qwen2 72B Instruct
Qwen 2 (7B)
Qwen 2 Instruct (1.5B)
Qwen2-VL (72B) Instruct
Qwen3 0.6B
Qwen3 0.6B Base
Qwen3 14B Base
Qwen3 1.7B
Qwen3 1.7B Base
Qwen3-235B-A22B-Instruct-2507
Qwen3-235B-A22B-Instruct-2507 is the updated version of the Qwen3-235B-A22B non-thinking mode, featuring Significant improvements in gene...
Qwen3 235B A22B Instruct 2507 FP8 Throughput
Qwen3 30B A3b Base
Qwen3 30B A3B Instruct 2507 Lora
Qwen3 4B Base
Qwen3 4B Instruct 2507
Qwen3.5 122B A10b Fp8
Qwen3.5 9B Fp8
Qwen3.6 35B A3b Fp8
Qwen3 8B Base
Qwen3 8B Lora
Qwen3 Coder 480B A35B Instruct Fp8
Qwen3-Coder-480B-A35B-Instruct-Turbo
Qwen3-Coder-480B-A35B-Instruct is the Qwen3's most agentic code model, featuring Significant Performance on Agentic Coding, Agentic Brows...
Qwen3 Coder Next Fp8
Qwen3 Next 80B A3b Instruct Fp8
Qwen3-VL-235B-A22B-Instruct-FP8
Qwen: Qwen2.5 7B Instruct
Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more...
Qwen: Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialo...
Qwen: Qwen3 235B A22B
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supp...
Qwen: Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture...
Qwen: Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning ...
Qwen: Qwen3 30B A3B
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to e...
Qwen: Qwen3 30B A3B Instruct 2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. ...
Qwen: Qwen3 30B A3B Thinking 2507
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-st...
Qwen: Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dial...
Qwen: Qwen3.6 Max Preview
Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximate...
Qwen: Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric worklo...
Qwen: Qwen3 8B
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dia...
Qwen: Qwen3 Coder 30B A3B Instruct
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed f...
Qwen: Qwen3 Coder 480B A35B
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agenti...
Qwen: Qwen3 Coder Flash
Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model...
Qwen: Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse Mo...
Qwen: Qwen3 Coder Plus
Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializ...
Qwen: Qwen3 Max
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual ...
Qwen: Qwen3 Max Thinking
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi...
Qwen: Qwen3 Next 80B A3B Instruct
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thi...
Qwen: Qwen3 Next 80B A3B Thinking
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. ...
Qwen: Qwen-Plus
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Qwen: Qwen Plus 0728
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, an...
Qwen QwQ-32B
Reka Flash 3
Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at gen...
Relace: Relace Apply 3
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates fr...
Relace: Relace Search
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user re...
ReMM SLERP 13B
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Sao10K: Llama 3.1 70B Hanami x1
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
Sao10K: Llama 3.1 Euryale 70B v2.2
Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3...
Sao10K: Llama 3.3 Euryale 70B
Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B ...
Sao10K: Llama 3 8B Lunaris
Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balan...
Sao10k: Llama 3 Euryale 70B v2.1
Euryale 70B v2.1 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). - Better prompt adherence. - Better ana...
Sarvam M
StepFun: Step 3.5 Flash
Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it select...
Switchpoint Router
Switchpoint AI's router instantly analyzes your request and directs it to the optimal AI from an ever-evolving library. As the world of L...
Tencent: Hunyuan A13B Instruct
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B ...
Tencent: Hy3 preview
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports con...
TheDrummer: Cydonia 24B V4.1
Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.
TheDrummer: Rocinante 12B
Rocinante 12B is designed for engaging storytelling and rich prose. Early testers have reported: - Expanded vocabulary with unique and ex...
TheDrummer: Skyfall 36B V2
Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-pla...
TheDrummer: UnslopNemo 12B
UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.
Tongyi DeepResearch 30B A3B
Tongyi DeepResearch is an agentic large language model developed by Tongyi Lab, with 30 billion total parameters activating only 3 billio...
Upstage: Solar Pro 3
Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forwa...
WizardLM-2 8x22B
WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprie...
Writer: Palmyra X5
Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-...
Xiaomi: MiMo-V2.5-Pro
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, an...
Xiaomi: MiMo-V2-Flash
MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameter...
Xiaomi: MiMo-V2-Pro
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agent...
Z.ai: GLM 4 32B
GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabili...
Z.ai: GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agenti...