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

Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct are closely matched at 0.3 and 6.5 on the LLM Stats Score.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct are closely matched on the overall LLM Stats Score at 0.3 and 6.5.

In the 1 individual benchmarks reported for both models, Mistral Small 3.1 24B Base wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Small 3.1 24B Base

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Mar 2025

Choose Qwen2.5 VL 7B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Mistral Small 3.1 24B Base
Mistral AI
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
0.3
#324
6.5
#291
Reasoning
0.5
#315
3.0
#302
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Small 3.1 24B Base
Qwen2.5 VL 7B Instruct
Math
4.7#279
3.2#288
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Small 3.1 24B Base · 32 for Qwen2.5 VL 7B Instruct

1 shared

Mistral Small 3.1 24B Base outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 7B Instruct is better at 0 benchmarks.

Mistral Small 3.1 24B Base significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

15.7B diff

Mistral Small 3.1 24B Base has 15.7B more parameters than Qwen2.5 VL 7B Instruct, making it 189.5% larger.

Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
24.0B
Mistral Small 3.1 24B Base
8.3B
Qwen2.5 VL 7B 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 VL 7B Instruct
Input- tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Qwen2.5 VL 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 VL 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 VL 7B Instruct was released on 2025-01-26.

Mistral Small 3.1 24B Base is 2 months newer than Qwen2.5 VL 7B Instruct.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.5 years ago

1mo newer
Qwen2.5 VL 7B Instruct

Jan 26, 2025

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→

Judge for yourself.

Run your own prompts against Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Mistral Small 3.1 24B Base
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

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

Which is better, Mistral Small 3.1 24B Base or Qwen2.5 VL 7B Instruct?

Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct are closely matched on the LLM Stats Score at 0.3 and 6.5. Mistral Small 3.1 24B Base is made by Mistral AI and Qwen2.5 VL 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Small 3.1 24B Base compare to Qwen2.5 VL 7B Instruct in benchmarks?

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 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct?

Mistral Small 3.1 24B Base supports 128K tokens and Qwen2.5 VL 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct?

Key differences include LLM Stats Score (0.3 vs 6.5). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.1 24B Base and Qwen2.5 VL 7B Instruct?

Mistral Small 3.1 24B Base is developed by Mistral AI and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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