Model Comparison

Kimi K2 Base vs Mistral Large 2

Both models are evenly matched across the benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi K2 Base outperforms in 1 benchmarks (MMLU), while Mistral Large 2 is better at 1 benchmark (GSM8k).

Both models are evenly matched across the benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

877.0B diff

Kimi K2 Base has 877.0B more parameters than Mistral Large 2, making it 713.0% larger.

Moonshot AI
Kimi K2 Base
1.0Tparameters
Mistral AI
Mistral Large 2
123.0Bparameters
1000.0B
Kimi K2 Base
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Mistral Large 2 uses Mistral Research 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 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Mistral Large 2 was released on 2024-07-24.

Kimi K2 Base is 12 months newer than Mistral Large 2.

Kimi K2 Base

Jul 11, 2025

11 months ago

11mo newer
Mistral Large 2

Jul 24, 2024

1.9 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Higher MMLU score (87.8% vs 84.0%)
Mistral AI
Larger context window (128,000 tokens)
Higher GSM8k score (93.0% vs 92.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 Base
Mistral AI
Mistral Large 2

FAQ

Common questions about Kimi K2 Base vs Mistral Large 2.

Which is better, Kimi K2 Base or Mistral Large 2?

Both models are evenly matched across the benchmarks. Kimi K2 Base is made by Moonshot AI and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 Base compare to Mistral Large 2 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 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

What are the context window sizes for Kimi K2 Base and Mistral Large 2?

Kimi K2 Base supports an unknown number of tokens and Mistral Large 2 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 Large 2?

Key differences include licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Mistral Large 2?

Kimi K2 Base is developed by Moonshot AI and Mistral Large 2 is developed by Mistral AI.