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Mistral Small 3.1 24B Instruct vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 4.4.

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

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 4.4, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash 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 Instruct

  • you need open weights you can self-host or fine-tune

Choose Qwen3.8 Flash

  • overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Mistral Small 3.1 24B Instruct
Mistral AI
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
4.4
#286
49.6
#16
Reasoning
4.4
#280
49.2
#16
Coding
9.8
#158
36.6
#20
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Small 3.1 24B Instruct
Qwen3.8 Flash
Math
8.2#252
32.6#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Mistral Small 3.1 24B Instruct · 22 for Qwen3.8 Flash

1 shared

Mistral Small 3.1 24B Instruct outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (GPQA).

Qwen3.8 Flash significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

101.0B diff

Qwen3.8 Flash has 101.0B more parameters than Mistral Small 3.1 24B Instruct, making it 420.8% larger.

Mistral AI
Mistral Small 3.1 24B Instruct
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
24.0B
Mistral Small 3.1 24B Instruct
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).

Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.1 24B Instruct and Qwen3.8 Flash support multimodal inputs.

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

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.1 24B Instruct is licensed under Apache 2.0, while Qwen3.8 Flash uses a proprietary license.

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

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small 3.1 24B Instruct was released on 2025-03-17, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 18 months newer than Mistral Small 3.1 24B Instruct.

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.5 years ago

Qwen3.8 Flash

Aug 26, 2026

5 days ago

1.4yr newer

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 Instruct and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

Mistral Small 3.1 24B Instruct
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about Mistral Small 3.1 24B Instruct vs Qwen3.8 Flash.

Which is better, Mistral Small 3.1 24B Instruct or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 4.4. Mistral Small 3.1 24B Instruct is made by Mistral AI and Qwen3.8 Flash 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 Instruct compare to Qwen3.8 Flash in benchmarks?

Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Mistral Small 3.1 24B Instruct and Qwen3.8 Flash?

Mistral Small 3.1 24B Instruct supports an unknown number of tokens and Qwen3.8 Flash supports 1.0M 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 Instruct and Qwen3.8 Flash?

Key differences include LLM Stats Score (4.4 vs 49.6), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.1 24B Instruct and Qwen3.8 Flash?

Mistral Small 3.1 24B Instruct is developed by Mistral AI and Qwen3.8 Flash is developed by Alibaba Cloud / Qwen Team.

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