Model Comparison

Claude Opus 4 vs Llama 3.1 405B Instruct

Claude Opus 4 significantly outperforms across most benchmarks. Llama 3.1 405B Instruct is 33.7x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude Opus 4 outperforms in 1 benchmarks (GPQA), while Llama 3.1 405B Instruct is better at 0 benchmarks.

Claude Opus 4 significantly outperforms across most benchmarks.

Sat May 30 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, Claude Opus 4 ($15.00/1M tokens) is 16.9x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).

For output processing, Claude Opus 4 ($75.00/1M tokens) is 84.3x more expensive than Llama 3.1 405B Instruct ($0.89/1M tokens).

In conclusion, Claude Opus 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
Sat May 30 2026 • llm-stats.com
Anthropic
Claude Opus 4
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
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Context Window

Maximum input and output token capacity

Claude Opus 4 accepts 200,000 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Llama 3.1 405B Instruct can generate longer responses up to 128,000 tokens, while Claude Opus 4 is limited to 32,000 tokens.

Anthropic
Claude Opus 4
Input200,000 tokens
Output32,000 tokens
Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4 supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

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

Claude Opus 4

Text
Images
Audio
Video

Llama 3.1 405B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 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.

Claude Opus 4

Proprietary

Closed source

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Claude Opus 4 was released on 2025-05-22, while Llama 3.1 405B Instruct was released on 2024-07-23.

Claude Opus 4 is 10 months newer than Llama 3.1 405B Instruct.

Claude Opus 4

May 22, 2025

1.0 years ago

10mo newer
Llama 3.1 405B Instruct

Jul 23, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude Opus 4 is available from Anthropic, Bedrock, Google. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.

Claude Opus 4

anthropic logo
Anthropic
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
google logo
Google
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

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

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Key Takeaways

Larger context window (200,000 tokens)
Supports multimodal inputs
Higher GPQA score (79.6% vs 50.7%)
Less expensive input tokens
Less expensive output tokens
Has open weights
AnthropicClaude Opus 4
MetaLlama 3.1 405B Instruct

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4
Meta
Llama 3.1 405B Instruct

FAQ

Common questions about Claude Opus 4 vs Llama 3.1 405B Instruct.

Which is better, Claude Opus 4 or Llama 3.1 405B Instruct?

Claude Opus 4 significantly outperforms across most benchmarks. Claude Opus 4 is made by Anthropic 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 Claude Opus 4 compare to Llama 3.1 405B Instruct in benchmarks?

Claude Opus 4 scores MMMLU: 88.8%, TAU-bench Retail: 81.4%, GPQA: 79.6%, MMMU (validation): 76.5%, AIME 2025: 75.5%. 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 Claude Opus 4 cheaper than Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct is 16.9x cheaper for input tokens. Claude Opus 4 costs $15.00/M input and $75.00/M output via anthropic. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda.

What are the context window sizes for Claude Opus 4 and Llama 3.1 405B Instruct?

Claude Opus 4 supports 200K 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 Claude Opus 4 and Llama 3.1 405B Instruct?

Key differences include context window (200K vs 128K), input pricing ($15.00 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 Claude Opus 4 and Llama 3.1 405B Instruct?

Claude Opus 4 is developed by Anthropic and Llama 3.1 405B Instruct is developed by Meta.