Model Comparison

Kimi K2 0905 vs Llama 3.1 Nemotron 70B Instruct

Kimi K2 0905 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Kimi K2 0905 outperforms in 1 benchmarks (MMLU), while Llama 3.1 Nemotron 70B Instruct is better at 0 benchmarks.

Kimi K2 0905 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

930.0B diff

Kimi K2 0905 has 930.0B more parameters than Llama 3.1 Nemotron 70B Instruct, making it 1328.6% larger.

Moonshot AI
Kimi K2 0905
1.0Tparameters
NVIDIA
Llama 3.1 Nemotron 70B Instruct
70.0Bparameters
1000.0B
Kimi K2 0905
70.0B
Llama 3.1 Nemotron 70B Instruct

Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

Kimi K2 0905

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

Kimi K2 0905 is 11 months newer than Llama 3.1 Nemotron 70B Instruct.

Kimi K2 0905

Sep 5, 2025

8 months ago

11mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while Kimi K2 0905's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without Kimi K2 0905's cutoff date.

Kimi K2 0905

—

Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (262,144 tokens)
Higher MMLU score (90.2% vs 80.2%)
NVIDIA
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about Kimi K2 0905 vs Llama 3.1 Nemotron 70B Instruct.

Which is better, Kimi K2 0905 or Llama 3.1 Nemotron 70B Instruct?

Kimi K2 0905 significantly outperforms across most benchmarks. Kimi K2 0905 is made by Moonshot AI and Llama 3.1 Nemotron 70B Instruct is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 0905 compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for Kimi K2 0905 and Llama 3.1 Nemotron 70B Instruct?

Kimi K2 0905 supports 262K tokens and Llama 3.1 Nemotron 70B Instruct supports an unknown number of 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 0905 and Llama 3.1 Nemotron 70B Instruct?

Key differences include licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 0905 and Llama 3.1 Nemotron 70B Instruct?

Kimi K2 0905 is developed by Moonshot AI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.