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Mistral Medium 3.5 vs Qwen3.5-9B

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 Qwen3.5-9B.

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

Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

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Technical Specifications

SpecificationMistral Medium 3.5Qwen3.5-9B
ProviderMistralAlibaba
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-302026-03-10

API Pricing Comparison

Input Price per Million Tokens

Mistral Medium 3.5

$1.50

Qwen3.5-9B

$0.10

Output Price per Million Tokens

Mistral Medium 3.5

$7.50

Qwen3.5-9B

$0.15

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.

Qwen3.5-9B Quirks & Gotchas

No developer gotchas reported.