For Developers/Models/Compare/Claude Sonnet 4.6 vs Llama 4

Claude Sonnet 4.6 vs Llama 4

Pricing, benchmarks, and use case comparison

Quick take

  • Claude Sonnet 4.6 is meaningfully stronger at coding (85 vs 72 on our capability index).
  • Llama 4 is open-weights (free to self-host); Claude Sonnet 4.6 is paid API only.
  • Llama 4 has a Up to 10M tokens (Scout); ~1M tokens (Maverick) context window vs 1M - better for whole-repo or long-document work.

Specs comparison

Claude Sonnet 4.6Llama 4
ProviderAnthropicMeta
TypeClosed sourceOpen source
Context window1MUp to 10M tokens (Scout); ~1M tokens (Maverick)
Input / 1M tokens$3.00Free (self-host)
Output / 1M tokens$15.00Free (self-host)
Release date2026-022025-04

Benchmarks

BenchmarkClaude Sonnet 4.6Llama 4
SWE-bench Verified79.6%-
Terminal-Bench 2.059.1%-
OSWorld-Verified72.5%-
GPQA79.7%-
Scout context window-10M tokens
Scout size-17B active / 109B total (16 experts)
Maverick size-17B active / 400B total (128 experts)

Scores sourced from official provider release posts and independent benchmark aggregators.

Which should you choose?

Choose Claude Sonnet 4.6 if...

  • You have an existing integration pinned to Sonnet 4.6 and want stability
  • You need a proven mid-tier model with 1M context at $3/$15
  • You want predictable behavior without the new-tokenizer/thinking changes in Sonnet 5
  • You are cost-sensitive and don't need Sonnet 5's incremental gains
Full Claude Sonnet 4.6 details →

Choose Llama 4 if...

  • You need extremely long context in an open model (Scout's 10M window)
  • Self-hosted or on-prem multimodal deployment
  • You want an efficient MoE that activates few parameters per token
  • Fine-tuning or full control over the model
Full Llama 4 details →

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