Model Comparison

Mistral Small 3.1 24B Base vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Mistral Small 3.1 24B Base outperforms in 1 benchmarks (MMLU), while Qwen2.5 14B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 29 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 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

9.3B diff

Mistral Small 3.1 24B Base has 9.3B more parameters than Qwen2.5 14B Instruct, making it 63.3% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
24.0B
Mistral Small 3.1 24B Base
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas Qwen2.5 14B 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 14B 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 14B 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 14B Instruct was released on 2024-09-19.

Mistral Small 3.1 24B Base is 6 months newer than Qwen2.5 14B Instruct.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.1 years ago

5mo newer
Qwen2.5 14B 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher MMLU score (81.0% vs 79.7%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (45.5% vs 37.5%)
Higher MMLU-Pro score (63.7% vs 56.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Small 3.1 24B Base
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Mistral Small 3.1 24B Base vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct shows notably better performance in the majority of benchmarks. Mistral Small 3.1 24B Base is made by Mistral AI and Qwen2.5 14B 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 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.
Mistral Small 3.1 24B Base supports 128K tokens and Qwen2.5 14B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include 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 14B Instruct is developed by Alibaba Cloud / Qwen Team.