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Mistral Medium 3.5 vs Qwen3 235B A22B

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 Mistral Medium 3.5 and Qwen3 235B A22B.

Mistral

Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

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Alibaba

Qwen3 235B A22B

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...

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Technical Specifications

SpecificationMistral Medium 3.5Qwen3 235B A22B
ProviderMistralAlibaba
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-302025-04-28

API Pricing Comparison

Input Price per Million Tokens

Mistral Medium 3.5

$1.50

Qwen3 235B A22B

$0.46

Output Price per Million Tokens

Mistral Medium 3.5

$7.50

Qwen3 235B A22B

$1.82

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.

Mistral Medium 3.5 Quirks & Gotchas

No developer gotchas reported.

Qwen3 235B A22B Quirks & Gotchas

No developer gotchas reported.