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Mistral Small 3.2 24B vs Qwen2.5 VL 72B Instruct

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 Small 3.2 24B and Qwen2.5 VL 72B Instruct.

Mistral

Mistral Small 3.2 24B

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

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Alibaba

Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

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Technical Specifications

SpecificationMistral Small 3.2 24BQwen2.5 VL 72B Instruct
ProviderMistralAlibaba
Context Window128,000 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-202025-02-01

API Pricing Comparison

Input Price per Million Tokens

Mistral Small 3.2 24B

$0.07

Qwen2.5 VL 72B Instruct

$0.80

Output Price per Million Tokens

Mistral Small 3.2 24B

$0.20

Qwen2.5 VL 72B Instruct

$1.00

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 Small 3.2 24B Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 VL 72B Instruct Quirks & Gotchas

No developer gotchas reported.