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 235B A22B Thinking 2507
- Cost
- $0.23 in · $2.30 out per 1M tokensBudget
- Memory
- 131K tokens — about 200 pages
- Reads
- Text
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Good at
- Coding: better than 23% · Agentic work: better than 19% · Overall: better than 21%
- Reliability
- 99.71% uptime, last 24h
- Released
- Jul 25, 2025
Advanced details
- API model ID
qwen/qwen3-235b-a22b-thinking-2507- Max output
- 118K tokens
- Knowledge cutoff
- 2025-06-30
- Tokenizer
- Qwen3
- Coding index
- 22.1
- Agentic work index
- 1.3
- Overall index
- 12.7
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 | $0.23 | $2.30 | — | 118K | 99.71% |
| Novita · fp8 | $0.30 | $3.00 | — | 33K | 82.57% |
| Venice · fp8 | $0.45 | $3.50 | — | 16K | 93.17% |
Supported parameters
- frequency_penalty
- include_reasoning
- logprobs
- max_tokens
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- 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