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Mixtral 8x22B Instruct vs Qwen3.5 397B A17B

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 397B A17B.

Mistral

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,...

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Alibaba

Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

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Technical Specifications

SpecificationMixtral 8x22B InstructQwen3.5 397B A17B
ProviderMistralAlibaba
Context Window65,536 tokens256,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-172026-02-16

API Pricing Comparison

Input Price per Million Tokens

Mixtral 8x22B Instruct

$2.00

Qwen3.5 397B A17B

$0.39

Output Price per Million Tokens

Mixtral 8x22B Instruct

$6.00

Qwen3.5 397B A17B

$2.45

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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 397B A17B Quirks & Gotchas

No developer gotchas reported.