Model Comparison

Mistral Small vs QwQ-32B-Preview

Comparing Mistral Small and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Small and QwQ-32B-Preview 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

QwQ-32B-Preview costs less

For input processing, Mistral Small ($0.20/1M tokens) is 1.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Mistral Small ($0.60/1M tokens) is 3.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, Mistral Small is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
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Model Size

Parameter count comparison

10.5B diff

QwQ-32B-Preview has 10.5B more parameters than Mistral Small, making it 47.7% larger.

Mistral AI
Mistral Small
22.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
22.0B
Mistral Small
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Both models have the same input context window of 32,768 tokens. Both models can generate responses up to 32,768 tokens.

Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, while QwQ-32B-Preview 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

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 2 months newer than Mistral Small.

Mistral Small

Sep 17, 2024

1.6 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Mistral Small's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Mistral Small's cutoff date.

Mistral Small

QwQ-32B-Preview

Nov 2024

Provider Availability

Mistral Small is available from Mistral AI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Mistral Small vs QwQ-32B-Preview

Mistral Small (Mistral AI) and QwQ-32B-Preview (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.
QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 1.3x cheaper for input tokens. Mistral Small costs $0.20/M input and $0.60/M output via mistral. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Mistral Small supports 33K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.20 vs $0.15/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 QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.