by Alibaba (Qwen Team)
Qwen: Qwen3.7 Max.
text
open weights
1M ctx
Cheapest input
$1.25/M
on Together AI
Cheapest output
$3.75/M
on Together AI
Hosted equiv.
~$1.35/hr
@ 100 tok/s on Together AI
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 workloads, with particular strengths in coding, office and productivity tasks,...
Where to use it
Cheapest hosted endpoints.
FAQ
Frequently asked.
How do I run Qwen: Qwen3.7 Max?
Qwen: Qwen3.7 Max is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access Qwen: Qwen3.7 Max?
Qwen: Qwen3.7 Max is available via Alibaba DashScope, Together AI, DeepInfra, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Qwen: Qwen3.7 Max?
API pricing starts at $2.5/M input tokens and $7.5/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Qwen: Qwen3.7 Max open-source or proprietary?
Qwen: Qwen3.7 Max is open-weight under the license. You can download and self-host it.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for Qwen: Qwen3.7 Max across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$20.0
Together AI
Most expensive
$40.0
DeepInfra
Spread
$20.0
max − min
Providers
4
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Loading...
Bill breakdown.
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
1M tokens
≈ 750,000 English words
4K
32K
128K
1M
Capabilities
What it can do.
·
Vision input
·
Audio input
·
Video input
·
Function calling
·
Tool use
·
JSON mode
✓
Streaming
·
Fine-tuning