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Mixtral 8x22B Instruct vs Qwen3 8B

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 8B.

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 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

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Technical Specifications

SpecificationMixtral 8x22B InstructQwen3 8B
ProviderMistralAlibaba
Context Window65,536 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-172025-04-28

API Pricing Comparison

Input Price per Million Tokens

Mixtral 8x22B Instruct

$2.00

Qwen3 8B

$0.12

Output Price per Million Tokens

Mixtral 8x22B Instruct

$6.00

Qwen3 8B

$0.46

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 8B Quirks & Gotchas

No developer gotchas reported.