Alibaba
Qwen3.5 9B
Qwen instruction model for multilingual chat, reasoning, and tool use
Model facts
- Context window
- 262K tokens
- Maximum output
- 66K tokens
- Cheapest paid input
- $0.04 per 1M tokens
- Cheapest paid output
- $0.15 per 1M tokens
- Open weights
- yes
- Providers
- 21
Capabilities and modalities
reasoning, tool calling, structured output, attachments, temperature control, open weights, text, image, audio, video.
Local hardware estimate
At 4K context: Q4_K_M 6.9 GiB, Q8_0 11.4 GiB, F16 19.8 GiB working memory.
- Parameters
- 9.7 billion
- Architecture
- qwen3_5
- Model license
- apache-2.0
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Artificial Analysis benchmarks
Compare this model on the full LLM benchmark leaderboard.
| Configuration | AAI | Coding | Math | Output tokens/s |
|---|---|---|---|---|
| Reasoning | 21.8 | 28.7 | not measured | 84.6 |
| Non-reasoning | 20.6 | 23.5 | not measured | 94.9 |
Observed price history
- 2026-08-24: $0.04 input / $0.15 output per 1M tokens
API providers
- QVAC — model id qwen3.5-9b; free input / free output per 1M tokens; provider documentation
- CrofAI — model id qwen3.5-9b; $0.04 input / $0.15 output per 1M tokens; provider documentation
- NanoGPT — model id qwen/qwen3.5-9b; $0.05 input / $0.15 output per 1M tokens; provider documentation
- EmpirioLabs AI — model id qwen3-5-9b; $0.09 input / $0.13 output per 1M tokens; provider documentation
- Merge Gateway — model id qwen/qwen3.5-9b; $0.09 input / $0.13 output per 1M tokens; provider documentation
- Deep Infra — model id Qwen/Qwen3.5-9B; $0.1 input / $0.15 output per 1M tokens; provider documentation
- DevPass (LLM Gateway) — model id qwen3.5-9b; $0.1 input / $0.15 output per 1M tokens; provider documentation
- Kilo Gateway — model id qwen/qwen3.5-9b; $0.1 input / $0.15 output per 1M tokens; provider documentation
- LLM Gateway (DeepInfra) — model id deepinfra/qwen3.5-9b; $0.1 input / $0.15 output per 1M tokens; provider documentation
- OpenRouter — model id qwen/qwen3.5-9b; $0.1 input / $0.15 output per 1M tokens; provider documentation
- Venice AI — model id qwen3-5-9b; $0.1 input / $0.15 output per 1M tokens; provider documentation
- Cortecs — model id qwen3.5-9b; $0.111 input / $0.167 output per 1M tokens; provider documentation
- OVHcloud AI Endpoints — model id qwen3.5-9b; $0.12 input / $0.18 output per 1M tokens; provider documentation
- TensorX — model id qwen/qwen3.5-9b; $0.15 input / $0.2 output per 1M tokens; provider documentation
- OpenRouter — model id qwen/qwen3.5-9b:batch; $0.17 input / $0.25 output per 1M tokens; provider documentation
- Hugging Face — model id Qwen/Qwen3.5-9B; $0.17 input / $0.25 output per 1M tokens; provider documentation
- Together AI — model id Qwen/Qwen3.5-9B; $0.17 input / $0.25 output per 1M tokens; provider documentation
- Mixlayer — model id qwen/qwen3.5-9b; $0.1 input / $0.4 output per 1M tokens; provider documentation
- Pioneer — model id Qwen/Qwen3.5-9B; $0.3 input / $0.3 output per 1M tokens; provider documentation
- routing.run — model id qwen3.5-9b; $0.16 input / $0.48 output per 1M tokens; provider documentation
- Regolo AI — model id qwen3.5-9b; $0.15 input / $0.6 output per 1M tokens; provider documentation