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Mistral Small 3 24B Instruct vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

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

Which is better?

Mistral Small 3 24B Instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Based on current benchmark, 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 Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.07 / M
— / M
Output price
$0.14 / M
— / M
Context window
32,000
Released
Jan 2025
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Small 3 24B Instruct outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

101.0B diff

Qwen3.8-Flash-Next has 101.0B more parameters than Mistral Small 3 24B Instruct, making it 420.8% larger.

Mistral AI
Mistral Small 3 24B Instruct
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
24.0B
Mistral Small 3 24B Instruct
125.0B
Qwen3.8-Flash-Next

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
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.

Qwen3.8-Flash-Next 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

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3 24B Instruct is licensed under Apache 2.0, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Mistral Small 3 24B Instruct

Apache 2.0

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Mistral Small 3 24B Instruct was released on 2025-01-30, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 19 months newer than Mistral Small 3 24B Instruct.

Mistral Small 3 24B Instruct

Jan 30, 2025

1.6 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen3.8-Flash-Next'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 Qwen3.8-Flash-Next's cutoff date.

Mistral Small 3 24B Instruct

Oct 2023

Qwen3.8-Flash-Next

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

Mistral Small 3 24B Instruct
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Mistral Small 3 24B Instruct vs Qwen3.8-Flash-Next.

Which is better, Mistral Small 3 24B Instruct or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Mistral Small 3 24B Instruct is made by Mistral AI and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Small 3 24B Instruct compare to Qwen3.8-Flash-Next 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%. Qwen3.8-Flash-Next 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 24B Instruct and Qwen3.8-Flash-Next?

Mistral Small 3 24B Instruct supports 32K tokens and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3 24B Instruct and Qwen3.8-Flash-Next?

Mistral Small 3 24B Instruct is developed by Mistral AI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.