Mixtral 8x22B Instruct vs Qwen3.5 Plus 2026-02-15
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mixtral 8x22B Instruct and Qwen3.5 Plus 2026-02-15.
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
Qwen3.5 Plus 2026-02-15
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Technical Specifications
| Specification | Mixtral 8x22B Instruct | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 65,536 tokens | 1,000,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2024-04-17 | 2026-02-16 |
API Pricing Comparison
Input Price per Million Tokens
Mixtral 8x22B Instruct
$2.00
Qwen3.5 Plus 2026-02-15
$0.26
Output Price per Million Tokens
Mixtral 8x22B Instruct
$6.00
Qwen3.5 Plus 2026-02-15
$1.56
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mixtral 8x22B Instruct Quirks & Gotchas
No developer gotchas reported.
Qwen3.5 Plus 2026-02-15 Quirks & Gotchas
No developer gotchas reported.