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GPT-4 Turbo vs Llama-3.3 Nemotron Super 49B v1

GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1 are closely matched at 9.1 and 13.6 on the LLM Stats Score.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1 are closely matched on the overall LLM Stats Score at 9.1 and 13.6.

In the 1 individual benchmarks reported for both models, Llama-3.3 Nemotron Super 49B v1 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4 Turbo

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose Llama-3.3 Nemotron Super 49B v1

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
9.1
#261
13.6
#232
9.2
#253
13.7
#225
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4 Turbo
Llama-3.3 Nemotron Super 49B v1
17.4#189
11.9#229
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 7 for Llama-3.3 Nemotron Super 49B v1

1 shared

GPT-4 Turbo outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 1 benchmark (GPQA).

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

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, 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.

GPT-4 Turbo

Proprietary

Closed source

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 11 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.5 years ago

11mo newer

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2023-12-31.

They should have similar awareness of historical events and information up to this date.

GPT-4 Turbo

Dec 2023

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs Llama-3.3 Nemotron Super 49B v1.

Which is better, GPT-4 Turbo or Llama-3.3 Nemotron Super 49B v1?

GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1 are closely matched on the LLM Stats Score at 9.1 and 13.6. GPT-4 Turbo is made by OpenAI and Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4 Turbo compare to Llama-3.3 Nemotron Super 49B v1 in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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 GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1?

GPT-4 Turbo 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 GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1?

Key differences include LLM Stats Score (9.1 vs 13.6), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Llama-3.3 Nemotron Super 49B v1?

GPT-4 Turbo is developed by OpenAI and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.