Mistral Small 3.1 24B Base vs Qwen2.5 72B Instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Small 3.1 24B Base outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Mistral Small 3.1 24B Base ($0.10/1M tokens) is 3.5x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Mistral Small 3.1 24B Base ($0.30/1M tokens) is 1.3x cheaper than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Model Size

Parameter count comparison

48.7B diff

Qwen2.5 72B Instruct has 48.7B more parameters than Mistral Small 3.1 24B Base, making it 202.9% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
24.0B
Mistral Small 3.1 24B Base
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Mistral Small 3.1 24B Base can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Qwen2.5 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.1 24B Base is licensed under Apache 2.0, while Qwen2.5 72B Instruct uses Qwen.

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

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Mistral Small 3.1 24B Base was released on 2025-03-17, while Qwen2.5 72B Instruct was released on 2024-09-19.

Mistral Small 3.1 24B Base is 6 months newer than Qwen2.5 72B Instruct.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.0 years ago

5mo newer
Qwen2.5 72B Instruct

Sep 19, 2024

1.5 years ago

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 3.1 24B Base is available from Mistral AI. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together. The availability of providers can affect quality of the model and reliability.

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
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

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher GPQA score (49.0% vs 37.5%)
Higher MMLU-Pro score (71.1% vs 56.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3.1 24B Base
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct