Model Comparison

GPT-5 vs Llama 3.1 405B Instruct

GPT-5 significantly outperforms across most benchmarks. Llama 3.1 405B Instruct is 3.9x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

GPT-5 significantly outperforms across most benchmarks.

Thu May 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 405B Instruct costs less

For input processing, GPT-5 ($1.25/1M tokens) is 1.4x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).

For output processing, GPT-5 ($10.00/1M tokens) is 11.2x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).

In conclusion, GPT-5 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
Thu May 07 2026 • llm-stats.com
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
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

GPT-5 accepts 400,000 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Thu May 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5

Text
Images
Audio
Video

Llama 3.1 405B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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-5

Proprietary

Closed source

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Llama 3.1 405B Instruct was released on 2024-07-23.

GPT-5 is 13 months newer than Llama 3.1 405B Instruct.

GPT-5

Aug 7, 2025

9 months ago

1.0yr newer
Llama 3.1 405B Instruct

Jul 23, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Llama 3.1 405B Instruct's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Llama 3.1 405B Instruct's cutoff date.

GPT-5

Sep 2024

Llama 3.1 405B Instruct

—

Provider Availability

GPT-5 is available from OpenAI. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (85.7% vs 50.7%)
Higher HumanEval score (93.4% vs 89.0%)
Higher MATH score (84.7% vs 73.8%)
Higher MMLU score (92.5% vs 87.3%)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5
Meta
Llama 3.1 405B Instruct

FAQ

Common questions about GPT-5 vs Llama 3.1 405B Instruct.

Which is better, GPT-5 or Llama 3.1 405B Instruct?

GPT-5 significantly outperforms across most benchmarks. GPT-5 is made by OpenAI and Llama 3.1 405B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5 compare to Llama 3.1 405B Instruct in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. 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-5 cheaper than Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct is 1.4x cheaper for input tokens. GPT-5 costs $1.25/M input and $10.00/M output via openai. 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-5 and Llama 3.1 405B Instruct?

GPT-5 supports 400K 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-5 and Llama 3.1 405B Instruct?

Key differences include context window (400K vs 128K), input pricing ($1.25 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-5 and Llama 3.1 405B Instruct?

GPT-5 is developed by OpenAI and Llama 3.1 405B Instruct is developed by Meta.