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Mistral Small 3 24B Instruct vs Qwen3.5-2B

Mistral Small 3 24B Instruct and Qwen3.5-2B are closely matched at 4.4 and 4.1 on the LLM Stats Score.

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

Which is better?

Mistral Small 3 24B Instruct and Qwen3.5-2B are closely matched on the overall LLM Stats Score at 4.4 and 4.1.

In the 3 individual benchmarks reported for both models, Qwen3.5-2B wins 2; 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 24B Instruct

  • you want predictable pricing at $0.07/M input and $0.14/M output

Choose Qwen3.5-2B

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Mar 2026

At a glance

The differences that matter most.

Core performance indexes
4.4
#290
4.1
#292
3.9
#286
5.6
#281
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.07 / M
— / M
Output price
$0.14 / M
— / M
Context window
32,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Small 3 24B Instruct
Qwen3.5-2B
7.1#259
4.0#278
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Mistral Small 3 24B Instruct · 20 for Qwen3.5-2B

3 shared

Mistral Small 3 24B Instruct outperforms in 1 benchmarks (IFEval), while Qwen3.5-2B is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3.5-2B shows notably better performance in the majority of benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

22.0B diff

Mistral Small 3 24B Instruct has 22.0B more parameters than Qwen3.5-2B, making it 1100.0% larger.

Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-2B
2.0Bparameters
24.0B
Mistral Small 3 24B Instruct
2.0B
Qwen3.5-2B

Context Window

Maximum input and output token capacity

Only Mistral Small 3 24B Instruct specifies input context (32,000 tokens). Only Mistral Small 3 24B Instruct specifies output context (32,000 tokens).

Mistral AI
Mistral Small 3 24B Instruct
Input32,000 tokens
Output32,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-2B
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.5-2B supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.

Qwen3.5-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Small 3 24B Instruct

Text
Images
Audio
Video

Qwen3.5-2B

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 24B Instruct

Apache 2.0

Open weights

Qwen3.5-2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3 24B Instruct was released on 2025-01-30, while Qwen3.5-2B was released on 2026-03-02.

Qwen3.5-2B is 13 months newer than Mistral Small 3 24B Instruct.

Mistral Small 3 24B Instruct

Jan 30, 2025

1.6 years ago

Qwen3.5-2B

Mar 2, 2026

6 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen3.5-2B's cutoff date is not specified.

We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen3.5-2B's cutoff date.

Mistral Small 3 24B Instruct

Oct 2023

Qwen3.5-2B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Mistral Small 3 24B Instruct and Qwen3.5-2B side-by-side, then vote on the output you prefer.

Mistral Small 3 24B Instruct
✓ Preferred
Qwen3.5-2B
Open in Playground

FAQ

Common questions about Mistral Small 3 24B Instruct vs Qwen3.5-2B.

Which is better, Mistral Small 3 24B Instruct or Qwen3.5-2B?

Mistral Small 3 24B Instruct and Qwen3.5-2B are closely matched on the LLM Stats Score at 4.4 and 4.1. Mistral Small 3 24B Instruct is made by Mistral AI and Qwen3.5-2B 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 24B Instruct compare to Qwen3.5-2B in benchmarks?

Mistral Small 3 24B Instruct scores Arena Hard: 87.6%, HumanEval: 84.8%, MT-Bench: 83.5%, IFEval: 82.9%, MATH: 70.6%. Qwen3.5-2B scores MMLU-Redux: 79.6%, IFEval: 78.6%, C-Eval: 73.2%, Global PIQA: 69.3%, MMLU-Pro: 66.5%.

What are the context window sizes for Mistral Small 3 24B Instruct and Qwen3.5-2B?

Mistral Small 3 24B Instruct supports 32K tokens and Qwen3.5-2B 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 24B Instruct and Qwen3.5-2B?

Key differences include LLM Stats Score (4.4 vs 4.1), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3 24B Instruct and Qwen3.5-2B?

Mistral Small 3 24B Instruct is developed by Mistral AI and Qwen3.5-2B is developed by Alibaba Cloud / Qwen Team.