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Kimi K2.8 Preview vs Mistral Small 3.1 24B Base

Comparing Kimi K2.8 Preview and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.

Moonshot AI · Mistral AI · Updated for 2026

Which is better?

Kimi K2.8 Preview and Mistral Small 3.1 24B Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Kimi K2.8 Preview also accepts a larger context window (1,048,576 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 Kimi K2.8 Preview

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Small 3.1 24B Base

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
1,048,576
128,000

Individual benchmarks

0 reported for Kimi K2.8 Preview · 5 for Mistral Small 3.1 24B Base

No common benchmarks found

Kimi K2.8 Preview and Mistral Small 3.1 24B Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Kimi K2.8 Preview accepts 1,048,576 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.8 Preview and Mistral Small 3.1 24B Base support multimodal inputs.

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

Kimi K2.8 Preview

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.8 Preview is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

Kimi K2.8 Preview

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.8 Preview was released on 2026-09-11, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Kimi K2.8 Preview is 18 months newer than Mistral Small 3.1 24B Base.

Kimi K2.8 Preview

Sep 11, 2026

3 days ago

1.5yr newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.5 years ago

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

Kimi K2.8 Preview is available from Moonshot AI. Mistral Small 3.1 24B Base is available from Mistral AI.

Kimi K2.8 Preview

moonshot logo
Unknown Organization

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* 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 Kimi K2.8 Preview and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.

Kimi K2.8 Preview
✓ Preferred
Mistral Small 3.1 24B Base
Open in Playground

FAQ

Common questions about Kimi K2.8 Preview vs Mistral Small 3.1 24B Base.

Which is better, Kimi K2.8 Preview or Mistral Small 3.1 24B Base?

Kimi K2.8 Preview (Moonshot AI) and Mistral Small 3.1 24B Base (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Kimi K2.8 Preview compare to Mistral Small 3.1 24B Base 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%.

What are the context window sizes for Kimi K2.8 Preview and Mistral Small 3.1 24B Base?

Kimi K2.8 Preview supports 1.0M tokens and Mistral Small 3.1 24B Base supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2.8 Preview and Mistral Small 3.1 24B Base?

Key differences include context window (1.0M vs 128K), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.8 Preview and Mistral Small 3.1 24B Base?

Kimi K2.8 Preview is developed by Moonshot AI and Mistral Small 3.1 24B Base is developed by Mistral AI.