Model Comparison

Llama-3.3 Nemotron Super 49B v1 vs Phi-3.5-mini-instructWhich is better in 2026?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Verdict: Llama-3.3 Nemotron Super 49B v1 vs Phi-3.5-mini-instruct — which is better?

Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) and Phi-3.5-mini-instruct (by Microsoft) 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 Nemotron Super 49B v1 outperforms in 3 benchmarks (Arena Hard, GPQA, MBPP), while Phi-3.5-mini-instruct is better at 0 benchmarks. Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Choose Llama-3.3 Nemotron Super 49B v1 if…

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

Choose Phi-3.5-mini-instruct if…

  • you want predictable pricing at $0.10/M input and $0.10/M output

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama-3.3 Nemotron Super 49B v1 outperforms in 3 benchmarks (Arena Hard, GPQA, MBPP), while Phi-3.5-mini-instruct is better at 0 benchmarks.

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

46.1B diff

Llama-3.3 Nemotron Super 49B v1 has 46.1B more parameters than Phi-3.5-mini-instruct, making it 1213.2% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
3.8B
Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Tue Jul 28 2026 • llm-stats.com

License

Usage and distribution terms

Llama-3.3 Nemotron Super 49B v1 is licensed under Llama 3.1 Community License, while Phi-3.5-mini-instruct uses MIT.

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

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Phi-3.5-mini-instruct was released on 2024-08-23.

Llama-3.3 Nemotron Super 49B v1 is 7 months newer than Phi-3.5-mini-instruct.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

6mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.9 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 Phi-3.5-mini-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 Phi-3.5-mini-instruct's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Phi-3.5-mini-instruct

—

Outputs Comparison

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Key Takeaways

NVIDIA
Higher Arena Hard score (88.3% vs 37.0%)
Higher GPQA score (66.7% vs 30.4%)
Higher MBPP score (91.3% vs 69.6%)
Microsoft
Larger context window (128,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama-3.3 Nemotron Super 49B v1 and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Phi-3.5-mini-instruct
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Phi-3.5-mini-instruct.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Phi-3.5-mini-instruct?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and Phi-3.5-mini-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama-3.3 Nemotron Super 49B v1 compare to Phi-3.5-mini-instruct in benchmarks?

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%. Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and Phi-3.5-mini-instruct?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Phi-3.5-mini-instruct 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 Llama-3.3 Nemotron Super 49B v1 and Phi-3.5-mini-instruct?

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

Who makes Llama-3.3 Nemotron Super 49B v1 and Phi-3.5-mini-instruct?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Phi-3.5-mini-instruct is developed by Microsoft.

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