Anthropic Claude Opus 5 (1M context) vs Meta Llama 5 Scout (1M)

Side-by-side comparison of pricing, context window, capabilities, and a real-cost sample workload.

Option A

Anthropic Claude Opus 5 (1M context)

by Anthropic
Context:1M
Input:$6.00 / 1M
Output:$30.00 / 1M
Released:2026-07
Option B

Meta Llama 5 Scout (1M)

by Meta
Context:1M
Input:$0.15 / 1M
Output:$0.50 / 1M
Released:2026-06

Detailed Comparison

DimensionAnthropic Claude Opus 5 (1M context)Meta Llama 5 Scout (1M)
ProviderAnthropicMeta
Context window TieTie1M1M
Input price ($/1M) Winner$6.00$0.15
Output price ($/1M) Winner$30.00$0.50
Sample workload cost Winner
1M input + 500K output tokens
$21.00 $0.40
Released Winner2026-072026-06
Tokenizerclaude-4llama

The verdict

On the dimensions we measured, Meta Llama 5 Scout (1M) wins more often - particularly on cost-effectiveness for a typical 1M+0.5M workload.

Anthropic Claude Opus 5 (1M context) - Key features

The 1M-token context tier of Claude Opus 5. Same model, long-context premium pricing applied to requests above 200K input tokens. Built for whole-repository and whole-corpus work.

  • 1M token context window
  • Whole-repository reasoning
  • Long-context premium tier
  • Prompt caching support
  • Adaptive effort control

Meta Llama 5 Scout (1M) - Key features

The compact member of the Llama 5 family. Scout runs on a single 24 GB consumer GPU at full speed while keeping a 1M token window and vision input, which makes it the practical choice for local and edge work.

  • 1M token context window
  • Runs on a single 24 GB GPU
  • Vision-language model
  • Open weights
  • Edge and local friendly

How to choose

Estimate the real cost of either model for your prompts using our Token Calculator.