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GPT-4 Turbo vs Llama 3.1 Nemotron 70B Instruct

GPT-4 Turbo leads the LLM Stats Score 9.1 to 0.4.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-4 Turbo leads the overall LLM Stats Score 9.1 to 0.4, ranking #268 overall.

In the 1 individual benchmarks reported for both models, GPT-4 Turbo 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

  • overall performance matters — it scores 9.1 and ranks #268 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Llama 3.1 Nemotron 70B Instruct

  • you want the most recent training data — it shipped Oct 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-4 Turbo
OpenAI
Llama 3.1 Nemotron 70B Instruct
NVIDIA
Core performance indexes
LLM Stats Score
9.1
#268
0.4
#322
Reasoning
9.2
#264
0.1
#315
Cost, coverage & limits
Benchmark wins
1 of 1
0 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 3.1 Nemotron 70B Instruct
Math
17.2#196
7.0#265
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 11 for Llama 3.1 Nemotron 70B Instruct

1 shared

GPT-4 Turbo outperforms in 1 benchmarks (MMLU), while Llama 3.1 Nemotron 70B Instruct is better at 0 benchmarks.

GPT-4 Turbo significantly outperforms across most benchmarks.

Wed Sep 09 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 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Wed Sep 09 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct

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 3.1 Nemotron 70B Instruct was released on 2024-10-01.

Llama 3.1 Nemotron 70B Instruct is 6 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.9 years ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a knowledge cutoff of 2023-12-31, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.

GPT-4 Turbo has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron 70B Instruct (2023-12-01).

GPT-4 Turbo

Dec 2023

Llama 3.1 Nemotron 70B Instruct

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 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs Llama 3.1 Nemotron 70B Instruct.

Which is better, GPT-4 Turbo or Llama 3.1 Nemotron 70B Instruct?

GPT-4 Turbo leads the LLM Stats Score 9.1 to 0.4. GPT-4 Turbo is made by OpenAI and Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for GPT-4 Turbo and Llama 3.1 Nemotron 70B Instruct?

GPT-4 Turbo supports 128K tokens and Llama 3.1 Nemotron 70B Instruct 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 3.1 Nemotron 70B Instruct?

Key differences include LLM Stats Score (9.1 vs 0.4), 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 3.1 Nemotron 70B Instruct?

GPT-4 Turbo is developed by OpenAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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