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 30B A3B Instruct 2507
- Cost
- $0.10 in · $0.30 out per 1M tokensBudget
- Memory
- 262K tokens — about 400 pages
- Reads
- Text
- Can do
- Use tools (agents)
- Structured output
- Thinking mode (not supported)
- Reliability
- 99.68% uptime, last 24h
- Released
- Jul 29, 2025
Advanced details
- API model ID
qwen/qwen3-30b-a3b-instruct-2507- Max output
- 236K tokens
- Max input
- 129K tokens
- Knowledge cutoff
- 2025-06-30
- Tokenizer
- Qwen3
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 |
|---|---|---|---|---|---|
| StreamLake | $0.048 | $0.193 | — | 32K | 99.15% |
| DekaLLM | $0.09 | $0.30 | — | 236K | 98.89% |
| SiliconFlow · fp8 | $0.09 | $0.30 | — | 236K | 98.03% |
| Nebius · fp8 | $0.10 | $0.30 | — | 236K | 91.10% |
| Alibaba | $0.13 | $0.52 | — | 33K | 99.68% |
Supported parameters
- frequency_penalty
- logit_bias
- logprobs
- max_tokens
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Live from OpenRouter, refreshed hourly.
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