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, and long-horizon autonomous execution. The model offers notable gains in coding and agentic performance over prior Qwen generations and supports explicit prompt caching for efficient repeated context use.
Modalities
In / Out Price
$1.475 / $4.425per 1M
Context
1M
Released
May 21, 2026
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
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, and long-horizon autonomous execution.
Qwen3.7 Max costs $1.475/M input tokens and $4.425/M output tokens, with separate rates for Cache Read at $0.295/M tokens, Cache Creation (5min) at $1.844/M tokens and Cache Read (5min) at $0.1475/M tokens.
Qwen3.7 Max has a 1,000,000 token context window. It supports up to 131,072 completion tokens.
Yes. Qwen3.7 Max accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Qwen3.8 27B, Qwen3.8 2.4T A95B, Qwen3.8 Max and 46 more are other text models from Qwen.
Qwen3.7 Max was released on May 21, 2026.
| $1.475 | $4.425 | $0.295 | $1.844 | $0.1475 | 0.94s | 56 tps |
Throughput
56tok/s
P50, best across providers
Latency
0.94s
P50, best provider
100.00%
99.86%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.
