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Mixtral 8x22B Instruct vs Qwen Plus 0728

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 Qwen Plus 0728.

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

Qwen Plus 0728

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

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Technical Specifications

SpecificationMixtral 8x22B InstructQwen Plus 0728
ProviderMistralAlibaba
Context Window65,536 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-04-172025-09-08

API Pricing Comparison

Input Price per Million Tokens

Mixtral 8x22B Instruct

$2.00

Qwen Plus 0728

$0.26

Output Price per Million Tokens

Mixtral 8x22B Instruct

$6.00

Qwen Plus 0728

$0.78

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.

Qwen Plus 0728 Quirks & Gotchas

No developer gotchas reported.