QQwen · Released Feb 25, 2026
Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
- Released
- Feb 25 2026
- Context window
- 262K 66K out
- Input / 1M tokens
- $0.27 from $0.085
- Output / 1M tokens
- $2.16 from $0.68
Where to run it
21 providers compared
Cheapest: AIHubMix at $0.085 / $0.68 per 1M input / output tokens — 72% less than the priciest option.
| Provider | Input | Output | Cache read | Context | Max output | Uptime | vs. best |
|---|---|---|---|---|---|---|---|
| AIHubMix | $0.085 | $0.68 | — | 262K | 66K | — | Cheapest |
| Merge Gateway | $0.086 | $0.69 | $0.017 | 131K | 33K | — | +2% |
| OrcaRouter | $0.086 | $0.69 | — | 262K | 66K | — | +2% |
| EmpirioLabs AI | $0.086 | $0.69 | $0.086 | 256K | 64K | — | +2% |
| SiliconFlow (China) | $0.09 | $0.72 | — | 262K | 66K | — | +6% |
| Alibaba | $0.20 | $1.56 | — | 262K | 66K | 93.9%24h | +130% |
| Kilo Gateway | $0.20 | $1.56 | — | 262K | 66K | — | +130% |
| SiliconFlowFP8 | $0.25 | $2.00 | — | 262K | 236K | 98.9%24h | +195% |
| Ofox | $0.29 | $2.05 | $0.29 | 262K | 66K | — | +213% |
| AtlasCloudFP8 | $0.27 | $2.16 | $0.27 | 262K | 66K | 100%24h | +219% |
| NovitaBF16 | $0.30 | $2.40 | — | 262K | 66K | 99.2%24h | +254% |
| Phalano tool calling | $0.30 | $2.40 | $0.03 | 262K | 66K | 97.8%24h | +254% |
| NanoGPTno tool calling | $0.30 | $2.40 | $0.15 | 262K | 66K | — | +254% |
| LLM Gateway | $0.30 | $2.40 | — | 262K | 66K | — | +254% |
| Mixlayer | $0.30 | $2.40 | — | 262K | 262K | — | +254% |
| Jalapeno Cloud | $0.30 | $2.40 | — | 262K | 66K | — | +254% |
| Novita AI | $0.30 | $2.40 | — | 262K | 66K | — | +254% |
| DevPass (LLM Gateway) | $0.30 | $2.40 | — | 262K | 66K | — | +254% |
| Hugging Face | $0.30 | $2.40 | — | 262K | 66K | — | +254% |
| DeepInfraFP8 | $0.26 | $2.60 | — | 262K | 82K | 99.8%24h | +263% |
| Requesty | $0.26 | $2.60 | — | 262K | 66K | — | +263% |
Value
Price vs. performance
Qwen3.5-27B Other Qwen Other labs Value frontier · Vending-Bench 2 vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.
Benchmarks
3 benchmark scores
| Benchmark | Score | Rank | Leader |
|---|---|---|---|
| Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) | $202 | #54of 61 | GPT-6 Astra$15,515 |
| WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) | 1357 | #75of 90 | Claude Opus 5.51820 |
| LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts | 34.0% | #72of 123 | Claude Sonnet 5.568.3% |
Specs
Details
- Model ID
qwen/qwen3.5-27b- Developer
- Qwen
- Release date
- Feb 25, 2026 ·
- Context window
- 262,144 tokens
- Max output
- 65,536 tokens
- API price
- $0.27 / $2.16 per 1M input / output tokens
- Providers
- 21
- 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.