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Mistral Medium 3.5 vs Qwen Plus 0728 (thinking)

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 Qwen Plus 0728 (thinking).

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

Qwen Plus 0728 (thinking)

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

SpecificationMistral Medium 3.5Qwen Plus 0728 (thinking)
ProviderMistralAlibaba
Context Window262,144 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 Date2026-04-302025-09-08

API Pricing Comparison

Input Price per Million Tokens

Mistral Medium 3.5

$1.50

Qwen Plus 0728 (thinking)

$0.26

Output Price per Million Tokens

Mistral Medium 3.5

$7.50

Qwen Plus 0728 (thinking)

$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.

Mistral Medium 3.5 Quirks & Gotchas

No developer gotchas reported.

Qwen Plus 0728 (thinking) Quirks & Gotchas

No developer gotchas reported.