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Mistral Small 4 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 4 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, IFBench). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Mistral Small 4

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 2 of 2 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 2
2 of 2
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
256,000
Released
Mar 2026
Aug 2026
License
Apache 2.0
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Small 4 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, IFBench).

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

61.0B diff

Qwen3.8-Flash-Next has 61.0B more parameters than Mistral Small 4, making it 51.3% larger.

Mistral AI
Mistral Small 4
119.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
180.0Bparameters
119.0B
Mistral Small 4
180.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Mistral Small 4 specifies input context (256,000 tokens). Only Mistral Small 4 specifies output context (256,000 tokens).

Mistral AI
Mistral Small 4
Input256,000 tokens
Output256,000 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

Both Mistral Small 4 and Qwen3.8-Flash-Next support multimodal inputs.

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

Mistral Small 4

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 4 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 4

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 4 was released on 2026-03-16, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 5 months newer than Mistral Small 4.

Mistral Small 4

Mar 16, 2026

5 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

5mo 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 4 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Mistral Small 4
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Mistral Small 4 vs Qwen3.8-Flash-Next.

Which is better, Mistral Small 4 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Mistral Small 4 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 4 compare to Qwen3.8-Flash-Next in benchmarks?

Mistral Small 4 scores AIME 2025: 83.8%, MMLU-Pro: 78.0%, AA-LCR: 71.2%, GPQA: 71.2%, LiveCodeBench: 63.6%. 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 4 and Qwen3.8-Flash-Next?

Mistral Small 4 supports 256K 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 4 and Qwen3.8-Flash-Next?

Key differences include licensing (Apache 2.0 vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 4 and Qwen3.8-Flash-Next?

Mistral Small 4 is developed by Mistral AI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.