token.app โบ Compare โบ Mixtral 8x22B Instruct vs Qwen3.5-Flash
Mixtral 8x22B Instruct vs Qwen3.5-Flash
Qwen3.5-Flash leads on 1 of 1 shared benchmarks. Qwen3.5-Flash is 26ร 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
| Mixtral 8x22B Instruct | 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 | 66K | 1M |
| Max output | 52K | 66K |
| Released | Apr 2024 | Feb 2026 |
| Licence | Open weights | Proprietary |
| GPQA Diamond | 34.1% | 82.3% |
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 Mixtral 8x22B Instruct ifโฆ
- Open weights โ self-hostable
Choose Qwen3.5-Flash ifโฆ
- Costs less per token โ $0.114 vs $3.00 blended
- Higher GPQA Diamond (82.3% vs 34.1%)
- Larger context window (1M)
- Newer model (released Feb 2026)
FAQ
Which is better, Mixtral 8x22B Instruct or Qwen3.5-Flash?
Across the 1 benchmark both models have independently-run scores for, Mixtral 8x22B Instruct leads on 0 and Qwen3.5-Flash leads on 1. Benchmarks are one input โ price and context window are on this page too.
Is Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct and Qwen3.5-Flash have?
Mixtral 8x22B Instruct: 65,536 tokens. Qwen3.5-Flash: 1,000,000 tokens.
Who makes Mixtral 8x22B Instruct and Qwen3.5-Flash?
Mixtral 8x22B Instruct is made by Mistral AI. Qwen3.5-Flash is made by Alibaba.
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