Model Comparison

Mistral Small vs Qwen2.5-Coder 32B Instruct

Comparing Mistral Small and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Small and Qwen2.5-Coder 32B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Mistral Small ($0.20/1M tokens) is 2.2x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Mistral Small ($0.60/1M tokens) is 6.7x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Mistral Small is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Tue Apr 14 2026 • llm-stats.com

Mistral Small

Input tokens$0.20

Output tokens$0.60

Best providerMistral

Qwen2.5-Coder 32B Instruct

Input tokens$0.09

Output tokens$0.09

Best providerLambda

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

10.0B diff

Qwen2.5-Coder 32B Instruct has 10.0B more parameters than Mistral Small, making it 45.5% larger.

Mistral Small

22.0Bparameters

Qwen2.5-Coder 32B Instruct

32.0Bparameters

22.0B

Mistral Small

32.0B

Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5-Coder 32B Instruct accepts 128,000 input tokens compared to Mistral Small's 32,768 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while Mistral Small is limited to 32,768 tokens.

Mistral Small

Input32,768 tokens

Output32,768 tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Small

Mistral Research License

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 0 month newer than Mistral Small.

Mistral Small

Sep 17, 2024

1.6 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

2d newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Small is available from Mistral AI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Mistral Small

Mistral

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Qwen2.5-Coder 32B Instruct

Lambda

Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Hyperbolic

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral Small

View details

Mistral AI

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	Mistral Small	Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Mistral Small vs Qwen2.5-Coder 32B Instruct

Mistral Small (Mistral AI) and Qwen2.5-Coder 32B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Qwen2.5-Coder 32B Instruct is 2.2x cheaper for input tokens. Mistral Small costs $0.20/M input and $0.60/M output via mistral. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

Mistral Small supports 33K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (33K vs 128K), input pricing ($0.20 vs $0.09/M), licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Mistral Small is developed by Mistral AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Mistral Small vs Qwen2.5-Coder 32B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

Mistral Small

Qwen2.5-Coder 32B Instruct

Outputs Comparison

Key Takeaways

Mistral Small

Qwen2.5-Coder 32B Instruct

Detailed Comparison

FAQ

Which is better, Mistral Small or Qwen2.5-Coder 32B Instruct?

How does Mistral Small compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Is Mistral Small cheaper than Qwen2.5-Coder 32B Instruct?

What are the context window sizes for Mistral Small and Qwen2.5-Coder 32B Instruct?

What are the main differences between Mistral Small and Qwen2.5-Coder 32B Instruct?

Who makes Mistral Small and Qwen2.5-Coder 32B Instruct?