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Kimi K2 Base vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 45.8 to 13.0.

Moonshot AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to 13.0, ranking #39 overall.

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

Choose Kimi K2 Base

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

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Kimi K2 Base
Moonshot AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
13.0
#270
45.8
#39
Reasoning
12.1
#268
43.9
#48
Coding
10.5
#185
35.0
#31
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

13 reported for Kimi K2 Base · 18 for Mistral Large 4

No common benchmarks found

Kimi K2 Base and Mistral Large 4don'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

Model Size

Parameter count comparison

50.0B diff

Mistral Large 4 has 50.0B more parameters than Kimi K2 Base, making it 5.0% larger.

Moonshot AI
Kimi K2 Base
1.0Tparameters
Mistral AI
Mistral Large 4
1.1Tparameters
1000.0B
Kimi K2 Base
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Kimi K2 Base does not.

Mistral Large 4 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 Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Mistral Large 4 uses a proprietary license.

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

Kimi K2 Base

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 15 months newer than Kimi K2 Base.

Kimi K2 Base

Jul 11, 2025

1.3 years ago

Mistral Large 4

Oct 6, 2026

2 weeks ago

1.2yr 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?

Judge for yourself.

Run your own prompts against Kimi K2 Base and Mistral Large 4 side-by-side, then vote on the output you prefer.

Kimi K2 Base
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Kimi K2 Base vs Mistral Large 4.

Which is better, Kimi K2 Base or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 45.8 to 13.0. Kimi K2 Base is made by Moonshot AI and Mistral Large 4 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 Large 4 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 Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for Kimi K2 Base and Mistral Large 4?

Kimi K2 Base supports an unknown number of tokens and Mistral Large 4 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 Kimi K2 Base and Mistral Large 4?

Key differences include LLM Stats Score (13.0 vs 45.8), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Mistral Large 4?

Kimi K2 Base is developed by Moonshot AI and Mistral Large 4 is developed by Mistral AI.

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