QQwen · Released Mar 10, 2026
Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
- Released
- Mar 10 2026
- Context window
- 262K 66K out
- Input / 1M tokens
- $0.08 from $0.05
- Output / 1M tokens
- $0.13
Where to run it
22 providers compared
Cheapest: NanoGPT at $0.05 / $0.15 per 1M input / output tokens — 82% less than the priciest option.
| Provider | Input | Output | Cache read | Context | Max output | Uptime | vs. best |
|---|---|---|---|---|---|---|---|
| NanoGPT | $0.05 | $0.15 | $0.025 | 262K | 66K | — | Cheapest |
| DarkbloomFP4 | $0.08 | $0.13 | $0.04 | 262K | 66K | 100%24h | +23% |
| Kilo Gateway | $0.08 | $0.13 | $0.04 | 262K | 66K | — | +23% |
| Merge Gateway | $0.09 | $0.13 | — | 262K | 33K | — | +33% |
| EmpirioLabs AI | $0.09 | $0.13 | $0.045 | 262K | 33K | — | +33% |
| DeepInfraBF16 | $0.10 | $0.15 | — | 262K | 82K | 100%24h | +50% |
| SiliconFlowFP8 | $0.10 | $0.15 | — | 262K | 236K | 99.1%24h | +50% |
| LLM Gateway | $0.10 | $0.15 | — | 262K | 33K | — | +50% |
| DevPass (LLM Gateway) | $0.10 | $0.15 | — | 262K | 66K | — | +50% |
| Cortecs | $0.11 | $0.17 | — | 262K | 262K | — | +67% |
| OVHcloud AI Endpoints | $0.12 | $0.18 | — | 262K | 262K | — | +80% |
| ParasailBF16 · no tool calling | $0.10 | $0.25 | — | 262K | 236K | 100%24h | +83% |
| Regolo AI | $0.079 | $0.39 | — | 262K | 8K | — | +110% |
| TensorX | $0.15 | $0.20 | $0.038 | 262K | 66K | — | +117% |
| Mixlayer | $0.10 | $0.40 | — | 262K | 262K | — | +133% |
| Together | $0.17 | $0.25 | — | 262K | 236K | 98.6%24h | +153% |
| Together AI | $0.17 | $0.25 | — | 262K | 66K | — | +153% |
| Hugging Face | $0.17 | $0.25 | — | 262K | 66K | — | +153% |
| SiliconFlow (China) | $0.075 | $0.60 | — | 262K | 66K | — | +174% |
| routing.run | $0.16 | $0.48 | — | 262K | 32K | — | +220% |
| Pioneer | $0.30 | $0.30 | $0.30 | 33K | 33K | — | +300% |
| Thinking Machines | $0.30 | $0.81 | $0.06 | 66K | 66K | — | +469% |
Value
Price vs. performance
Qwen3.5-9B Other Qwen Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.
Benchmarks
6 benchmark scores
| Benchmark | Score | Rank | Leader |
|---|---|---|---|
| Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) | 9.2% | #39of 40 | GPT-5.584.7% |
| SciCodeSoftware engineering · Research-coding problems from the natural sciences | 29.5% | #95of 102 | Claude Opus 5.566.9% |
| GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions | 79.0% | #74of 122 | Gemini 4 Argon96.4% |
| CritPtReasoning & knowledge · Open-ended, research-level physics problems | 0.3% | #88of 111 | GPT-5.6 Sol32.3% |
| LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts | 24.5% | #89of 123 | Claude Sonnet 5.568.3% |
| OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 | 61.7% | #91of 120 | Gemini 4 Argon100.0% |
Specs
Details
- Model ID
qwen/qwen3.5-9b- Developer
- Qwen
- Release date
- Mar 10, 2026 ·
- Context window
- 262,144 tokens
- Max output
- 65,536 tokens
- API price
- $0.08 / $0.13 per 1M input / output tokens
- Providers
- 22
- Input types
- text, image, video
- Reasoning
- Yes
- Tool calling
- Yes
- Open weights
- Yes
- Free tier
- No
Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.