Model
Claude Opus 4.7 NO.03
Previous-generation frontier Opus, still highly reliable for agentic coding.
Anthropic · Claude · Frontier · Closed weights
Specification
11 fields
Fig.01 — Claude — Anthropic
USA
- Context window
- 1Mtokens
- Max output
- 128Ktokens
- Input price
- $5/ 1M
- Output price
- $25/ 1M
- Cached input
- $0.50/ 1M
- Throughput
- —
- Class
- Frontier
- Modalities
- Text, Image, Pdf
- Weights
- Closed
- Knowledge cutoff
- Nov 2025
- Released
- Mar 2026
Overview
Claude Opus 4.7 is the previous-generation frontier Opus, superseded by 4.8 but still a genuinely frontier-reliable model for long-horizon agentic coding.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- Superseded by Opus 4.8 at identical pricing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
Fit
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
Normalized 0—100
Ten axes, normalized 0–100 and scored the same way across the whole catalog — so a 78 here means what a 78 means anywhere else on the bench.
Fig.02 — Capability radar
0 — 100
- Reasoning
- 94
- Coding
- 94
- Math
- 90
- Writing
- 92
- Knowledge
- 91
- Speed
- 55
- Agentic
- 94
- Vision
- 86
- Multilingual
- 89
- Long Context
- 93
Benchmarks
07 results
Public results, with independent third-party runs marked. Bars normalize percentages against 100 and Elo ratings against a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
54/ 100
- Artificial Analysis Intelligence IndexIndependentGeneral · Artificial Analysis
- 54%
- SWE-bench VerifiedIndependentCoding · SWE-bench
- 83.5%
- SWE-bench ProIndependentCoding · SWE-bench Pro
- 64.3%
- DeepSWEIndependentCoding · Datacurve
- 54%
- GPQA DiamondIndependentReasoning · Independent aggregators
- 94.2%
- LiveBenchIndependentGeneral · LiveBench
- 76.9%
- LMArena EloIndependentGeneral · LMArena
- 1505Elo
Alternatives
03 comparable
Models in roughly the same class — the ones worth weighing against this record.
Index
Record 03 of 41