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ModelTape / Models / Claude Opus 4.7
Anthropic · API-only (closed weights)

Claude Opus 4.7

Claude Opus 4.7 is an API-only (closed weights) language model from Anthropic, released April 16, 2026. The context window is 1M tokens. On the Epoch Capabilities Index it scores 157.4, rank 30 of 256 rated models. API price: $5 input / $25 output per million tokens.

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Lab
Anthropic
Released
April 16, 2026
Weights
API-only (closed weights)
Parameters
–
Context
1M
Price / M tokens
$5 / $25 in / out
Epoch ECI
157.4 #30

Strengths by category

ModelTape's 0–100 fit on Epoch AI benchmark results.

CategoryScoreBased on
Reasoning22.4Chess Puzzles, SimpleBench, Mystery Game Puzzles, Humanity's Last Exam
Math55.1ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private
Coding61.1GSO-Bench, MirrorCode, Terminal Bench, SWE-bench Verified
Knowledge76.3GPQA diamond, SimpleQA Verified

Benchmark results

Benchmark (Epoch AI)Score
OTIS Mock AIME97.8%
GPQA Diamond90.5%
SWE-bench Verified83.5%
Terminal-Bench80.2%
FrontierMath (Tiers 1–3)73.9%
SimpleBench54.0%
ProofBench54.0%
SimpleQA Verified51.7%
GSO-Bench44.1%
Chess Puzzles37.9%
Humanity's Last Exam36.2%
FrontierMath-Tier-4-v2-Private31.7%
MirrorCode31.1%
Mystery Game Puzzles20.7%
EBR-bench19.0%
OSWorld 2.018.2%
Furniture Assembly4.8%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

Kimi K3.1 Pro · GPT-5.6 Terra · Claude Haiku 5.5 · GPT-5.4 Pro · GPT-5.5 · Claude Opus 4.8 · DeepSeek V4.1 Flash 1017 · Gemini 3.8 Flash

More from Anthropic

Claude Fable 5.2 · Claude Haiku 5.5 · Claude Sonnet 5.5 · Claude Opus 5.5 · Claude Fable 5.1 · Claude Opus 5 · Claude Sonnet 5 · Claude Fable 5

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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