Qwen 3.5 Flash
QwenBalanced
ThinkingTool UseVisionStructured Output
About this model
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Performance Tier
Balanced
Qwen 3.5 Flash is a balanced model from Qwen : strong performance at a reasonable price.
Strong cost-performance ratio. Reliable for most professional use cases without premium pricing.
Pricing
This model is included in Elosia plansEco
Minimal cost. Ideal for very high volume or simple tasks.
| Type | per 1M tokens |
|---|---|
| Input (prompt) | $0.065 |
| Output (completion) | $0.260 |
Capabilities
Context Length1.0M
Max Output Tokens66K
TokenizerQwen3
Inputtext, image, video
Outputtext
Release DateFebruary 25, 2026
Benchmarks
General Intelligence
MMLU
Not reported
GPQA Diamond
84.2%
Mathematics
MATH-500
Not reported
Programming
HumanEval
Not reported
SWE-bench Verified
69.2%
Reasoning
IFEval
91.9%
Multimodal
MMMU-Pro
75.1%
Where does Qwen 3.5 Flash stand?
Compare its performance index against every other model.
Recommended Use Cases
General ChatCodingAnalysisResearchTranslation
Strengths
- Frontier-class performance with only 3B active parameters (MoE)
- Extremely affordable ($0.10/M input) with near-flagship quality
- 1M token context window via API
- Native vision support (images, video, documents)
- 201 languages supported including French
Limitations
- Below Qwen 3.5 27B dense on most benchmarks
- Tool use score (BFCL-V4: 67.3) below competitors
- No published MMLU, HumanEval, or MATH-500 scores
Frequently asked questions
Resources
This model may use your data for training
