Claude Opus 4 vs Claude Opus 4.7
Wins 0 of 6 areas
—
Wins 5 of 6 areas
Coding · Reasoning · Images and charts · Long documents · Following instructions
Claude Opus 4.7 is the stronger all-rounder.
Scores updated · 21 tests both models report · How we compare
Where each one wins
Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- ReasoningHard problems that need careful thinking04Claude Opus 4.74 of 4 tests
- CodingWriting and fixing software03Claude Opus 4.73 of 3 tests
- Images and chartsUnderstanding pictures, charts and video01Claude Opus 4.71 of 1 test
- Long documentsFinding answers in very long texts01Claude Opus 4.71 of 1 test
- Following instructionsDoing exactly what it is asked01Claude Opus 4.71 of 1 test
- FactsGetting facts right instead of making them up00Even0 each · 1 tie
Facts, images and charts, long documents and following instructions rest on a single test each.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
Claude Opus 4.7 costs 67% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Claude Opus 4.7 pulls ahead
- Abstract visual puzzles that people can solveARC-AGI-2+67.2points ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+30points ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+20.4points ahead
Where Claude Opus 4 pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 21 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude Opus 4.7
- Terminal-Bench HardClaude Opus 4.7 by 20.431.151.5+20.4
- SWE-bench VerifiedClaude Opus 4.7 by 15.172.587.6+15.1
- SciCodeClaude Opus 4.7 by 14.739.854.5+14.7
ReasoningClaude Opus 4.7
- ARC-AGI-2Claude Opus 4.7 by 67.28.675.8+67.2
- Humanity's Last ExamClaude Opus 4.7 by 3012.342.3+30
- GPQA DiamondClaude Opus 4.7 by 11.879.691.4+11.8
- SimpleBenchClaude Opus 4.7 by 2.958.861.7+2.9
Images and chartsClaude Opus 4.7
- LMArena · VisionClaude Opus 4.7 by 121 rating points11921313+121 rating
Following instructionsClaude Opus 4.7
- IFBenchClaude Opus 4.7 by 4.953.758.6+4.9
Other results10 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- ARC-AGI-1Claude Opus 4.7 by 56.335.792+56.3
- Artificial Analysis Coding IndexClaude Opus 4.7 by 39.63473.6+39.6
- AA IntelligenceClaude Opus 4.7 by 20.120.640.7+20.1
- frontiermath_tier_4_v1Claude Opus 4.7 by 18.74.222.9+18.7
- τ²-Bench Telecom (AA run)Claude Opus 4.7 by 15.273.488.6+15.2
- vectara_answer_rateClaude Opus 4.7 by 79198+7
- MMMLUClaude Opus 4.7 by 2.788.891.5+2.7
- vectara_avg_summary_lengthClaude Opus 4.7 by 25.9 rating points123.2149.1+25.9 rating
- LiveBenchClaude Opus 4.7 by 2.374.676.9+2.3
- vectara_factual_consistencytie8888tie
Questions people ask
Which is better, Claude Opus 4 or Claude Opus 4.7?
Claude Opus 4.7 wins five of the six areas where both have results: coding, reasoning, images and charts, long documents and following instructions. Claude Opus 4 wins none. They are level on facts.
Which is better for coding?
Claude Opus 4.7. It wins 3 of the 3 coding tests both models report; Claude Opus 4 wins none.
Which is cheaper?
Claude Opus 4 costs $15.00 per million input tokens and $75.00 per million output tokens; Claude Opus 4.7 costs $5.00 and $25.00. That makes Claude Opus 4.7 about 67% cheaper for the same work.
How do you compare the two?
We use the 21 benchmark tests both models have published scores on. The verdict counts the 11 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.