Model Comparison

Mistral Small 3.1 24B Base vs Qwen2.5 7B Instruct

Both models are evenly matched across the benchmarks. Mistral Small 3.1 24B Base is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Small 3.1 24B Base outperforms in 1 benchmarks (GPQA), while Qwen2.5 7B Instruct is better at 1 benchmark (MMLU-Pro).

Both models are evenly matched across the benchmarks.

Wed Apr 15 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 3.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Mistral Small 3.1 24B Base ($0.30/1M tokens) costs the same as Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B 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
Wed Apr 15 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 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

16.4B diff

Mistral Small 3.1 24B Base has 16.4B more parameters than Qwen2.5 7B Instruct, making it 215.4% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
24.0B
Mistral Small 3.1 24B Base
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 7B 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 7B 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 7B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Qwen2.5 7B 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 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3.1 24B Base was released on 2025-03-17, while Qwen2.5 7B Instruct was released on 2024-09-19.

Mistral Small 3.1 24B Base is 6 months newer than Qwen2.5 7B Instruct.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.1 years ago

5mo newer
Qwen2.5 7B Instruct

Sep 19, 2024

1.6 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 7B Instruct is available from Together.

Mistral Small 3.1 24B Base

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

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral AI
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (37.5% vs 36.4%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher MMLU-Pro score (56.3% vs 56.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3.1 24B Base
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Mistral Small 3.1 24B Base vs Qwen2.5 7B Instruct

Both models are evenly matched across the benchmarks. Mistral Small 3.1 24B Base is made by Mistral AI and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Mistral Small 3.1 24B Base is 3.0x cheaper for input tokens. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Mistral Small 3.1 24B Base supports 128K tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.10 vs $0.30/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Mistral Small 3.1 24B Base is developed by Mistral AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.