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Mistral Small 3.1 24B Base vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 0.5. Mistral Small 3.1 24B Base is 1.5x cheaper per token.

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

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 0.5, 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.

On price, Mistral Small 3.1 24B Base is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.8 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Mistral Small 3.1 24B Base

  • cost matters — it's about 1.5x cheaper per token
  • 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 — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Mistral Small 3.1 24B Base
Mistral AI
Qwen3.8 Flash
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
0.5
#308
49.6
#16
Reasoning
0.7
#299
49.2
#16
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
$0.15 / M
Output price
$0.30 / M
$0.47 / M
Context window
128,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Small 3.1 24B Base
Qwen3.8 Flash
Math
5.0#268
32.6#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Small 3.1 24B Base · 22 for Qwen3.8 Flash

1 shared

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

Qwen3.8 Flash significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, Mistral Small 3.1 24B Base ($0.10/1M tokens) is 1.5x cheaper than Qwen3.8 Flash ($0.15/1M tokens).

For output processing, Mistral Small 3.1 24B Base ($0.30/1M tokens) is 1.6x cheaper than Qwen3.8 Flash ($0.47/1M tokens).

In conclusion, Qwen3.8 Flash is more expensive than Mistral Small 3.1 24B Base.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 01 2026 • llm-stats.com
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input tokens$0.15
Output tokens$0.47
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

101.0B diff

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

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

Context Window

Maximum input and output token capacity

Qwen3.8 Flash accepts 1,000,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.1 24B Base 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 Base

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.1 24B Base 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 Base

Apache 2.0

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small 3.1 24B Base 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 Base.

Mistral Small 3.1 24B Base

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

Provider Availability

Mistral Small 3.1 24B Base is available from Mistral AI. Qwen3.8 Flash is available from Novita.

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Qwen3.8 Flash

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.47/1M
* Prices shown are per million tokens

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

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

FAQ

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

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

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 0.5. Mistral Small 3.1 24B Base 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 Base compare to Qwen3.8 Flash 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%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

Is Mistral Small 3.1 24B Base cheaper than Qwen3.8 Flash?

Mistral Small 3.1 24B Base is 1.5x cheaper for input tokens. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral. Qwen3.8 Flash costs $0.15/M input and $0.47/M output via novita.

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

Mistral Small 3.1 24B Base supports 128K 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 Base and Qwen3.8 Flash?

Key differences include LLM Stats Score (0.5 vs 49.6), context window (128K vs 1.0M), input pricing ($0.10 vs $0.15/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

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