Qwen3.5-Flash
Qwen3.5-Flash is worth evaluating for long context, vision, and classification when its provider route and context window match the workload.
Use it for
- Teams evaluating long context, vision, and classification
- Workloads that can use a 1m context window
- Buyers comparing 3 tracked provider routes
Do not use it for
- Strict JSON or tool-calling flows
- Family
- Qwen3.5
- Released
- 2026-02-23
- Context
- 1m
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
Cheapest of 3 routes · OpenRouter
About
Qwen3.5-Flash is a fast, cost-effective native vision-language model in the Qwen3.5 series, delivering outstanding performance comparable to the latest state-of-the-art models with significant leaps in both pure-text and multimodal capabilities compared to the Qwen3 series.
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Vision
Included by capability and metadata signals in the decision map.
Classification
Q/$ B1 relevant benchmark in the decision map.
Provider price ladder
Compare all 3Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| OpenRouter | $0.070 | $0.260 | - | Serverless |
| Alibaba Cloud PAI-EAS | $0.100 | $0.400 | - | Serverless |
| Vercel AI Gateway | $0.100 | $0.400 | read $0.001 | Serverless |
Capabilities
Benchmark peer barsfor Classification
Benchmark scores(2)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Google-Proof Q&A | 84.2 | GPQA Diamond (accuracy)Observed 2026-06-07 | — | Source |
| MMLU PRO | 85.3 | Qwen3 (accuracy)Observed 2026-06-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(1)
Compare Qwen3.5-Flash with other models
Cheapest of 3 routes · OpenRouter