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 — Qwen3.5-27B
- Cost
- $0.195 in · $1.56 out per 1M tokensBudget
- Memory
- 262K tokens — about 400 pages
- Reads
- Text · Images · Video
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Reliability
- 99.96% uptime, last 24h
- Released
- Feb 25, 2026
Advanced details
- API model ID
qwen/qwen3.5-27b- Max output
- 66K tokens
- Max input
- 258K tokens
- 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 |
|---|---|---|---|---|---|
| Alibaba | $0.195 | $1.56 | — | 66K | 99.50% |
| SiliconFlow · fp8 | $0.25 | $2.00 | — | 236K | 98.55% |
| DeepInfra · fp8 | $0.26 | $2.60 | — | 82K | 99.95% |
| AtlasCloud · fp8 | $0.27 | $2.16 | $0.27 | 66K | 99.35% |
| Phala | $0.30 | $2.40 | $0.15 | 66K | 97.83% |
| Novita · bf16 | $0.30 | $2.40 | — | 66K | 99.96% |
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- 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