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 14B
- Cost
- $0.12 in · $0.24 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 10% · Agentic work: better than 8%
- Reliability
- 99.97% uptime, last 24h
- Released
- Apr 28, 2025
Advanced details
- API model ID
qwen/qwen3-14b- Max output
- 16K tokens
- Max input
- 98K tokens
- Knowledge cutoff
- 2025-03-31
- Tokenizer
- Qwen3
- Coding index
- 13.8
- Agentic work index
- 0.9
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 |
|---|---|---|---|---|---|
| NextBit · int4 | $0.10 | $0.22 | — | 37K | 99.97% |
| DeepInfra · fp8 | $0.12 | $0.24 | — | 16K | 98.96% |
| AlibabaDegraded | $0.227 | $0.91 | — | 8K | 99.89% |
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. 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