AI Briefing
KO

Claude Opus 4.7 Comparison

·2026.04.24 09:41

Key point

In Claude Code, Opus 4.5, 4.6, 4.7, and Sonnet 4.6 were compared by cost and tokens across effort levels.

1 / 2

Details

In Claude Code CLI 2.1.117, Opus 4.5, 4.6, 4.7, and Sonnet 4.6 were compared across the 5 levels low, medium, high, xhigh, and max. 10 fixed prompts were run against each combination, with total cost around $18.

  • session-metrics read Claude Code's JSONL transcripts to reconstruct tokens and pricing.
  • Following 2.1.116+, which Anthropic's post-mortem mentioned as the fix for the quality regression, this test was conducted on 2.1.117.
  • effort was an output token dial, not input tokens. Input tokens per prompt were nearly identical at about 6.

The pattern across models split into roughly three groups.

  • Opus 4.6, 4.5, and Sonnet 4.6 started thinking on 90-100% of turns even at low.
  • Opus 4.7 had an 18% thinking rate at low but rose to 93% at max.
  • Sonnet 4.6 kept tool calls active at every rung, and since it was cheaper than Opus at the same rung, its dollar efficiency per token was 2-5x higher. The price table itself was 60% of Opus's.

Cache state significantly shook up the results. Even with the same model and same effort, whether the 1-hour cache was warm or cold caused up to a 1.88x difference — for example, Opus 4.7 [1m] xhigh was $1.12 (warm) vs. $1.78 (cold), and Sonnet 4.6 medium was $0.78 vs. $1.46. In the warm state, the efficiency gap between Sonnet 4.6 medium and high was only about 5%.

By pure efficiency, Sonnet 4.6 high achieved 15,516 tok/$, while Opus 4.7 high achieved 3,015 tok/$. Conversely, Opus 4.7 max produced up to 6.5x more output tokens than low, behaving almost like a separate mode, whereas Opus 4.5's increase at the same max was only 2.1x.

With IFEval, the sample size was only 9, so the McNemar p-value stayed at 0.25-0.5, a range in which a significant difference cannot be confidently claimed.

This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.

Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.