Model Comparison

Kimi K2 Instruct vs Llama-3.3 Nemotron Super 49B v1Which is better in 2026?

Kimi K2 Instruct shows notably better performance in the majority of benchmarks.

Verdict: Kimi K2 Instruct vs Llama-3.3 Nemotron Super 49B v1 — which is better?

Kimi K2 Instruct (by Moonshot AI) and Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Kimi K2 Instruct outperforms in 2 benchmarks (GPQA, MATH-500), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (AIME 2025). Kimi K2 Instruct shows notably better performance in the majority of benchmarks.

Choose Kimi K2 Instruct if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you are already invested in the NVIDIA ecosystem
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2 Instruct outperforms in 2 benchmarks (GPQA, MATH-500), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (AIME 2025).

Kimi K2 Instruct shows notably better performance in the majority of benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

950.1B diff

Kimi K2 Instruct has 950.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 1904.0% larger.

Moonshot AI
Kimi K2 Instruct
1.0Tparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
1000.0B
Kimi K2 Instruct
49.9B
Llama-3.3 Nemotron Super 49B v1

Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Instruct is licensed under MIT, while Llama-3.3 Nemotron Super 49B v1 uses Llama 3.1 Community License.

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

Kimi K2 Instruct

MIT

Open weights

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Kimi K2 Instruct is 4 months newer than Llama-3.3 Nemotron Super 49B v1.

Kimi K2 Instruct

Jul 11, 2025

11 months ago

3mo newer
Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Kimi K2 Instruct's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without Kimi K2 Instruct's cutoff date.

Kimi K2 Instruct

—

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Larger context window (200,000 tokens)
Higher GPQA score (75.1% vs 66.7%)
Higher MATH-500 score (97.4% vs 96.6%)
NVIDIA
Higher AIME 2025 score (58.4% vs 49.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 Instruct
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Kimi K2 Instruct vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Kimi K2 Instruct or Llama-3.3 Nemotron Super 49B v1?

Kimi K2 Instruct shows notably better performance in the majority of benchmarks. Kimi K2 Instruct is made by Moonshot AI and Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 Instruct compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for Kimi K2 Instruct and Llama-3.3 Nemotron Super 49B v1?

Kimi K2 Instruct supports 200K tokens and Llama-3.3 Nemotron Super 49B v1 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 Instruct and Llama-3.3 Nemotron Super 49B v1?

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

Who makes Kimi K2 Instruct and Llama-3.3 Nemotron Super 49B v1?

Kimi K2 Instruct is developed by Moonshot AI and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

Related comparisons