Model Comparison

GPT-3.5 Turbo vs Llama 3.1 Nemotron Nano 8B V1Which is better in 2026?

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks.

Verdict: GPT-3.5 Turbo vs Llama 3.1 Nemotron Nano 8B V1 — which is better?

GPT-3.5 Turbo (by OpenAI) and Llama 3.1 Nemotron Nano 8B 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.

GPT-3.5 Turbo outperforms in 0 benchmarks, while Llama 3.1 Nemotron Nano 8B V1 is better at 1 benchmark (GPQA). Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks.

Choose GPT-3.5 Turbo if…

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Llama 3.1 Nemotron Nano 8B V1 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Llama 3.1 Nemotron Nano 8B V1 is better at 1 benchmark (GPQA).

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo is licensed under a proprietary license, while Llama 3.1 Nemotron Nano 8B V1 uses Llama 3.1 Community License.

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

GPT-3.5 Turbo

Proprietary

Closed source

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 24 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.3 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.3 years ago

2.0yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a knowledge cutoff of 2021-09-30, while Llama 3.1 Nemotron Nano 8B V1 has a cutoff of 2023-12-31.

Llama 3.1 Nemotron Nano 8B V1 has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

GPT-3.5 Turbo

Sep 2021

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

2.3 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (16,385 tokens)
NVIDIA
Has open weights
Higher GPQA score (54.1% vs 30.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-3.5 Turbo and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

GPT-3.5 Turbo
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about GPT-3.5 Turbo vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, GPT-3.5 Turbo or Llama 3.1 Nemotron Nano 8B V1?

Llama 3.1 Nemotron Nano 8B V1 significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-3.5 Turbo compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the context window sizes for GPT-3.5 Turbo and Llama 3.1 Nemotron Nano 8B V1?

GPT-3.5 Turbo supports 16K tokens and Llama 3.1 Nemotron Nano 8B 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 GPT-3.5 Turbo and Llama 3.1 Nemotron Nano 8B V1?

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

Who makes GPT-3.5 Turbo and Llama 3.1 Nemotron Nano 8B V1?

GPT-3.5 Turbo is developed by OpenAI and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.

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