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Kimi K2 Base vs Mistral Small 3.2 24B Instruct

Kimi K2 Base leads the LLM Stats Score 13.6 to 8.5.

Moonshot AI · Mistral AI · Updated for 2026

Which is better?

Kimi K2 Base leads the overall LLM Stats Score 13.6 to 8.5, ranking #242 overall.

In the 5 individual benchmarks reported for both models, Kimi K2 Base wins 5; 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 Kimi K2 Base

  • overall performance matters — it scores 13.6 and ranks #242 on LLM Stats
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Jul 2025

Choose Mistral Small 3.2 24B Instruct

  • you want predictable pricing at $0.07/M input and $0.20/M output

At a glance

The differences that matter most.

Kimi K2 Base
Moonshot AI
Mistral Small 3.2 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
13.6
#242
8.5
#276
Reasoning
12.7
#240
8.0
#277
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
— / M
$0.07 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Kimi K2 Base
Mistral Small 3.2 24B Instruct
Math
14.3#218
11.1#244
Finance
16.3#113
9.3#152
Legal
16.3#95
9.3#133
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Kimi K2 Base · 15 for Mistral Small 3.2 24B Instruct

5 shared

Kimi K2 Base outperforms in 5 benchmarks (GPQA, MATH, MMLU, MMLU-Pro, SimpleQA), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks.

Kimi K2 Base significantly outperforms across most benchmarks.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

976.4B diff

Kimi K2 Base has 976.4B more parameters than Mistral Small 3.2 24B Instruct, making it 4137.3% larger.

Moonshot AI
Kimi K2 Base
1.0Tparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
1000.0B
Kimi K2 Base
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Kimi K2 Base does not.

Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2 Base

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

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

Kimi K2 Base

MIT

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Kimi K2 Base is 1 month newer than Mistral Small 3.2 24B Instruct.

Kimi K2 Base

Jul 11, 2025

1.2 years ago

3w newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Kimi K2 Base's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Kimi K2 Base's cutoff date.

Kimi K2 Base

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2 Base and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Kimi K2 Base
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Kimi K2 Base vs Mistral Small 3.2 24B Instruct.

Which is better, Kimi K2 Base or Mistral Small 3.2 24B Instruct?

Kimi K2 Base leads the LLM Stats Score 13.6 to 8.5. Kimi K2 Base is made by Moonshot AI and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2 Base compare to Mistral Small 3.2 24B Instruct in benchmarks?

Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Kimi K2 Base and Mistral Small 3.2 24B Instruct?

Kimi K2 Base supports an unknown number of tokens and Mistral Small 3.2 24B Instruct 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 Base and Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (13.6 vs 8.5), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Mistral Small 3.2 24B Instruct?

Kimi K2 Base is developed by Moonshot AI and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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