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Anthropic · Claude
No. 03

Claude Opus 4.7

Previous-generation frontier Opus, still highly reliable for agentic coding.

FrontierClosed weightsText, Image, Pdf
Field notes
Context window
1Mtokens
Max output
128Ktokens
Input price
$5/ 1M tokens
Output price
$25/ 1M tokens
Cached input
$0.50/ 1M tokens
Modalities
Text, Image, Pdf
Knowledge cutoff
Nov 2025
Released
Mar 2026
Approx. speed
Overview

What this model is

Claude Opus 4.7 is the previous-generation frontier Opus, superseded by 4.8 but still a genuinely frontier-reliable model for long-horizon agentic coding. It remains a strong choice for teams standardized on it that value stability over chasing the newest release. Same pricing and context as 4.8 with slightly lower peak capability.

Strengths

  • Frontier-grade agentic reliability
  • Strong real-world coding
  • Large 1M-token context
  • Well-proven, mature behavior in production

Trade-offs

  • Superseded by Opus 4.8 at identical pricing
  • Slightly lower peak capability than the current frontier
  • No audio/video input

Best for

  • Existing 4.7-standardized pipelines
  • Long-horizon coding agents
  • Complex reasoning tasks
  • Baseline comparisons against 4.8

Not ideal for

  • New deployments (prefer Opus 4.8)
  • Cost-sensitive high-volume use
Capabilities

Capability profile

Normalized 0–100 scores, comparable across the whole catalog.

Reasoning94Coding94Math90Writing92Knowledge91Speed55Agentic94Vision86Multilingual89Long Context93
Reasoning
94
Coding
94
Math
90
Writing
92
Knowledge
91
Speed
55
Agentic
94
Vision
86
Multilingual
89
Long Context
93
Benchmarks

How it scores

Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.

Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
54/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
54%
SWE-bench Verifiedindependent
CodingSWE-bench
83.5%
SWE-bench Proindependent
CodingSWE-bench Pro
64.3%
DeepSWEindependent
CodingDatacurve
54%
GPQA Diamondindependent
ReasoningIndependent aggregators
94.2%
LiveBenchindependent
GeneralLiveBench
76.9%
LMArena Eloindependent
GeneralLMArena
1505Elo
Alternatives

Comparable models

Models in a roughly similar class — worth weighing against this one.