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Use case

Code generation.

Code-specialised LLMs trained on heavily-curated source code. Strong on autocomplete latency + multi-file context. Used by Continue.dev, Aider, Cline, Cursor, and other coding-agent frameworks.

≥ 16GB VRAM Workstation tier
Best GPUs

Top GPUs for this workload.

Ranked by suitability — higher fitness scores mean the card handles this workload more comfortably.

No GPU recommendations linked to this workload yet.

Best AI models

Top models for this workload.

DeepSeek Coder V2 236B

236B
by DeepSeek · DeepSeek Coder · 128,000 ctx

DeepSeek's MoE coding model — 236B total, 21B active.

DeepSeek Coder V2 Lite

16B
by DeepSeek · DeepSeek Coder · 128,000 ctx

16B MoE / 2.4B active — laptop-class coder.

DeepSeek Coder 33B

33B
by DeepSeek · DeepSeek Coder · 16,384 ctx

Code Llama 70B

70B
by Meta AI · Code Llama · 16,384 ctx

Meta's largest code-specialised Llama.

IBM Granite Code 8B

8B
by IBM Research · Granite · 4,096 ctx

Code Llama 34B

34B
by Meta AI · Code Llama · 16,384 ctx

DeepSeek Coder 6.7B

7B
by DeepSeek · DeepSeek Coder · 16,384 ctx

Code Llama 13B

13B
by Meta AI · Code Llama · 16,384 ctx

Code Llama 7B

7B
by Meta AI · Code Llama · 16,384 ctx