Qwen
Alibaba's open-weight family, with a coder model in nearly every size.
Qwen is Alibaba's model family and the largest open-weight line there is — dozens of sizes from a few billion parameters up to the Max models, most of them published so you can run them yourself. For vibe coders the draw is the Qwen Coder models: strong at code for the price, cheap to call through a provider, and small enough at the low end to run on your own machine. The flagship Max models take text, images and video and go up to a million tokens of context.
At a glance — Qwen3.7 Plus
- Cost
- $0.32 in · $1.28 out per 1M tokensBudget
- Memory
- 1M tokens — about 1,500 pages
- Reads
- Text · Images
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Good at
- Coding: better than 62% · Agentic work: better than 49% · Overall: better than 50%
- Reliability
- 99.97% uptime, last 24h
- Released
- Jun 3, 2026
Advanced details
- API model ID
qwen/qwen3.7-plus- Max output
- 131K tokens
- Max input
- 984K tokens
- Cached input
- $0.064 per 1M
- Prompts over 256K
- $0.96 in · $3.84 out per 1M
- Tokenizer
- Qwen
- Coding index
- 55.9
- Agentic work index
- 17.5
- Overall index
- 25.2
Providers
The same model, hosted by different companies. OpenRouter picks one per request and falls back to the next if it fails.
| Provider | Input /1M | Output /1M | Cached /1M | Max output | Uptime 24h |
|---|---|---|---|---|---|
| Alibaba | $0.32 | $1.28 | $0.064 | 131K | 99.97% |
Supported parameters
- frequency_penalty
- include_reasoning
- logprobs
- max_tokens
- presence_penalty
- reasoning
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Live from OpenRouter, refreshed hourly. Scores from Artificial Analysis.
Key info
- Pricing
- Open source
- Category
- Models
- Best for
- Intermediate
- Made by
- Alibaba
- Weights
- Open, most sizes
- Good for
- Cheap coding models, and running one yourself