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GPT-4 vs Llama 3.1 405B Instruct

Llama 3.1 405B Instruct leads the LLM Stats Score 14.7 to 3.0. Llama 3.1 405B Instruct is 42.1x cheaper per token.

OpenAI · Meta · Updated for 2026

Which is better?

Llama 3.1 405B Instruct leads the overall LLM Stats Score 14.7 to 3.0, ranking #239 overall.

In the 5 individual benchmarks reported for both models, Llama 3.1 405B Instruct wins 5; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 405B Instruct is roughly 42.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.1 405B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-4

  • you want predictable pricing at $30.00/M input and $60.00/M output

Choose Llama 3.1 405B Instruct

  • overall performance matters — it scores 14.7 and ranks #239 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • cost matters — it's about 42.1x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Jul 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
3.0
#316
14.7
#239
3.0
#308
13.8
#239
-5.2
#266
11.5
#160
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$30.00 / M
$0.89 / M
Output price
$60.00 / M
$0.89 / M
Context window
32,768
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
Llama 3.1 405B Instruct
8.5#259
19.3#169
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 18 for Llama 3.1 405B Instruct

5 shared

GPT-4 outperforms in 0 benchmarks, while Llama 3.1 405B Instruct is better at 5 benchmarks (DROP, GPQA, HumanEval, MATH, MMLU).

Llama 3.1 405B Instruct significantly outperforms across most benchmarks.

Fri Sep 25 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.1 405B Instruct costs less

For input processing, GPT-4 ($30.00/1M tokens) is 33.7x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 67.4x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).

In conclusion, GPT-4 is more expensive than Llama 3.1 405B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 25 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 3.1 405B Instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Llama 3.1 405B Instruct can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Sep 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

Text
Images
Audio
Video

Llama 3.1 405B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Llama 3.1 405B 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

Proprietary

Closed source

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Llama 3.1 405B Instruct was released on 2024-07-23.

Llama 3.1 405B Instruct is 14 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.3 years ago

Llama 3.1 405B Instruct

Jul 23, 2024

2.2 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Llama 3.1 405B Instruct's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Llama 3.1 405B Instruct's cutoff date.

GPT-4

Dec 2022

Llama 3.1 405B Instruct

—

Provider Availability

GPT-4 is available from Azure, OpenAI. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

Llama 3.1 405B Instruct

lambda logo
Lambda
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.79/1MOutput Price:Output: $1.79/1M
fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
together logo
Together
Input Price:Input: $3.50/1MOutput Price:Output: $3.50/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $4.00/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $5.00/1MOutput Price:Output: $16.00/1M
replicate logo
Replicate
Input Price:Input: $9.50/1MOutput Price:Output: $9.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-4 and Llama 3.1 405B Instruct side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Llama 3.1 405B Instruct
Open in Playground

FAQ

Common questions about GPT-4 vs Llama 3.1 405B Instruct.

Which is better, GPT-4 or Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct leads the LLM Stats Score 14.7 to 3.0. GPT-4 is made by OpenAI and Llama 3.1 405B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4 compare to Llama 3.1 405B Instruct in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%.

Is GPT-4 cheaper than Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct is 33.7x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda.

What are the context window sizes for GPT-4 and Llama 3.1 405B Instruct?

GPT-4 supports 33K tokens and Llama 3.1 405B 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 GPT-4 and Llama 3.1 405B Instruct?

Key differences include LLM Stats Score (3.0 vs 14.7), context window (33K vs 128K), input pricing ($30.00 vs $0.89/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 and Llama 3.1 405B Instruct?

GPT-4 is developed by OpenAI and Llama 3.1 405B Instruct is developed by Meta.