Models / Anthropic

Claude Opus 4.7

Claude Opus · Released 2026-04-16

Anthropic's April 2026 flagship. 13% coding lift over Opus 4.6, 3x more production tasks resolved, high-res vision up to 3.75 MP, new tokenizer. $5/$25 per 1M tokens, 1M context window.

Most capable generally available Claude model. Best for complex reasoning, long-running agentic tasks, and high-stakes code review.

#7 of 21 on Vals Index · current snapshot
66 Vals Index · 15 benchmark rows · 7 sourcesPosition is benchmark-specific — not a cross-family or cross-source ranking.
Composite64
Context1M
Input / 1M$5.0
Output / 1M$25
Knowledge cutoff2026-02-01
Output speed61 t/s
TTFT (default API)16.72s
Statussolid
ReasoningCodingAgenticLong contextHuman preference
Reasoning
91
Coding
88
Agentic
69
Long context
70
Human preference
82

80average across 5 tested families

Benchmark placements

Where Claude Opus 4.7 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.

BenchmarkFamilyRankScoreSourceDate
Vending-Bench 2Agentic#1/ 5Andon Labs Vending-Bench 22026-06-01
SWE-bench VerifiedCoding#3/ 2388SWE-bench official leaderboard2026-05-30
ARC-AGIReasoning#5/ 1476ARC Prize leaderboard2026-05-15
LMArena (Chatbot Arena)Human preference#6/ 1382LMArena leaderboard2026-05-25
Vals IndexAgentic#7/ 2066Vals AI — Vals Index2026-06-04
Artificial Analysis Intelligence IndexReasoning#8/ 6754Artificial Analysis2026-07-21
SciCodeCoding#10/ 6555Artificial Analysis2026-07-21
GPQA DiamondReasoning#15/ 6991Artificial Analysis2026-07-21
AA time to first tokenPerformance#16/ 69Artificial Analysis2026-07-21
Humanity's Last ExamReasoning#18/ 6540Artificial Analysis2026-07-21
AA-LCRLong context#21/ 6470Artificial Analysis2026-07-21
Terminal-BenchAgentic#23/ 6969Terminal-Bench 2.0 leaderboard2026-05-20
τ³-Bench BankingAgentic#28/ 6429Artificial Analysis2026-07-21
IFBenchReasoning#42/ 5759Artificial Analysis2026-07-21
AA output speedPerformance#46/ 69Artificial Analysis2026-07-21
Family context

The three highest-scoring carded models in each capability family. Where Claude Opus 4.7 shows up, it's highlighted.

ReasoningClaude Opus 4.7 · 91
  1. 1
    95
  2. 2
    94
  3. 3
    94
CodingClaude Opus 4.7 · 88
  1. 1
    96
  2. 2
    96
  3. 3
    96
AgenticClaude Opus 4.7 · 69
  1. 1
    100
  2. 2
    100
  3. 3
    100
Long contextClaude Opus 4.7 · 70
  1. 1
    75
  2. 2
    75
  3. 3
    74
Human preferenceClaude Opus 4.7 · 82
  1. 1
    95
  2. 2
    92
  3. 3
    91
Newest receipts

Benchmark rows added to the public ledger for Claude Opus 4.7 in the last 120 days. Older rows live in the full table below.

15 recent
Family coverage

A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.

Reasoning91
Coding88
Agentic69
Long context70
Human preference82
Price vs. performance
0255075100$0.10$0.30$1$3$10$30input USD / 1M tokens · log scale →← intelligence

Hover or tab any dot for name, score, and input price.

AnthropicOpenAIMistralAlibabaDeepSeekGoogleMoonshotMiniMaxxAIMetaZhipuXiaomiMeituanCohere

Full benchmark ledger

Every catalog benchmark for Claude Opus 4.7. Scores link to the original source; gaps mean no public row exists yet.

15 sourced rows

15 of 32 catalog benchmarks have a sourced row for Claude Opus 4.7.

Reasoning

Coding

Agentic

Long context

Performance

Human preference

Changelog
  1. Released Claude Opus 4.7 — 13% coding lift, 3x production tasks, 3.75 MP vision.
Sources