token.app › Compare › Mistral Large vs Qwen3.5-Flash
Mistral Large vs Qwen3.5-Flash
Qwen3.5-Flash leads on 2 of 2 shared benchmarks. Qwen3.5-Flash is 26× cheaper per token on a blended 3:1 basis. Qwen3.5-Flash accepts the larger context window (1M).
Head to head
Blended price uses a 3:1 input:output mix
| Mistral Large | Qwen3.5-Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba |
| Input $/1M | $2.00 | $0.065 |
| Output $/1M | $6.00 | $0.260 |
| Blended $/1M | $3.00 | $0.114 |
| Context window | 128K | 1M |
| Max output | 102K | 66K |
| Released | Feb 2024 | Feb 2026 |
| Licence | Proprietary | Proprietary |
| GPQA Diamond | 38.8% | 82.3% |
| OTIS Mock AIME | 1.9% | 84.4% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose Mistral Large if…
- No clear advantage on the data we hold.
Choose Qwen3.5-Flash if…
- Costs less per token — $0.114 vs $3.00 blended
- Higher GPQA Diamond (82.3% vs 38.8%)
- Higher OTIS Mock AIME (84.4% vs 1.9%)
- Larger context window (1M)
- Newer model (released Feb 2026)
FAQ
Which is better, Mistral Large or Qwen3.5-Flash?
Across the 2 benchmarks both models have independently-run scores for, Mistral Large leads on 0 and Qwen3.5-Flash leads on 2. Benchmarks are one input — price and context window are on this page too.
Is Mistral Large cheaper than Qwen3.5-Flash?
Qwen3.5-Flash is cheaper: $0.114 versus $3.00 per million tokens blended at 3:1 input:output. Input alone: $2.00 vs $0.065. Output alone: $6.00 vs $0.260.
What context windows do Mistral Large and Qwen3.5-Flash have?
Mistral Large: 128,000 tokens. Qwen3.5-Flash: 1,000,000 tokens.
Who makes Mistral Large and Qwen3.5-Flash?
Mistral Large is made by Mistral AI. Qwen3.5-Flash is made by Alibaba.