Model Comparison

Llama 3.3 70B Instruct vs Llama-3.3 Nemotron Super 49B v1Which is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Llama 3.3 70B Instruct vs Llama-3.3 Nemotron Super 49B v1 — which is better?

Llama 3.3 70B Instruct (by Meta) 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.

Llama 3.3 70B Instruct outperforms in 1 benchmarks (BFCL v2), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

Choose Llama 3.3 70B Instruct if…

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

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you want the most recent training data — it shipped Mar 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 3.3 70B Instruct outperforms in 1 benchmarks (BFCL v2), while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Wed Jul 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

20.1B diff

Llama 3.3 70B Instruct has 20.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 40.3% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
70.0B
Llama 3.3 70B Instruct
49.9B
Llama-3.3 Nemotron Super 49B v1

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Wed Jul 22 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, 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.

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 3 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.6 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.3 years ago

3mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Llama 3.3 70B 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 Llama 3.3 70B Instruct's cutoff date.

Llama 3.3 70B Instruct

—

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (128,000 tokens)
Higher BFCL v2 score (77.3% vs 73.7%)
NVIDIA
Higher GPQA score (66.7% vs 50.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.3 70B Instruct and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.3 70B Instruct
NVIDIA
Llama-3.3 Nemotron Super 49B v1

FAQ

Common questions about Llama 3.3 70B Instruct vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Llama 3.3 70B Instruct or Llama-3.3 Nemotron Super 49B v1?

Both models are evenly matched across the benchmarks. Llama 3.3 70B Instruct is made by Meta 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 Llama 3.3 70B Instruct compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. 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 Llama 3.3 70B Instruct and Llama-3.3 Nemotron Super 49B v1?

Llama 3.3 70B Instruct supports 128K 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 Llama 3.3 70B Instruct and Llama-3.3 Nemotron Super 49B v1?

Key differences include licensing (Llama 3.3 Community License Agreement vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Llama-3.3 Nemotron Super 49B v1?

Llama 3.3 70B Instruct is developed by Meta and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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