Claude 3 Opus vs Llama 4 Scout
Claude 3 Opus and Llama 4 Scout are closely matched at 10.4 and 8.3 on the LLM Stats Score. Llama 4 Scout is 222.2x cheaper per token.
Anthropic · Meta · Updated for 2026
Which is better?
Claude 3 Opus and Llama 4 Scout are closely matched on the overall LLM Stats Score at 10.4 and 8.3.
In the 5 individual benchmarks reported for both models, Claude 3 Opus wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 4 Scout is roughly 222.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 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 Claude 3 Opus
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
Choose Llama 4 Scout
- cost matters — it's about 222.2x cheaper per token
- you process long inputs — it offers a 10,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Claude 3 Opus · 12 for Llama 4 Scout
Claude 3 Opus outperforms in 3 benchmarks (MATH, MGSM, MMLU), while Llama 4 Scout is better at 2 benchmarks (GPQA, MMLU-Pro).
Claude 3 Opus has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Opus ($15.00/1M tokens) is 187.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, Claude 3 Opus ($75.00/1M tokens) is 250.0x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, Claude 3 Opus is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Claude 3 Opus's 200,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Claude 3 Opus is limited to 200,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3 Opus and Llama 4 Scout support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3 Opus
Llama 4 Scout
License
Usage and distribution terms
Claude 3 Opus is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Claude 3 Opus was released on 2024-02-29, while Llama 4 Scout was released on 2025-04-05.
Llama 4 Scout is 13 months newer than Claude 3 Opus.
Feb 29, 2024
2.5 years ago
Apr 5, 2025
1.4 years ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Opus is available from Anthropic, Bedrock, Google. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together.
Claude 3 Opus
Llama 4 Scout
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3 Opus and Llama 4 Scout side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3 Opus vs Llama 4 Scout.