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Claude Opus 4.7 (Adaptive) benchmarks, pricing, and LLM comparison.

Compare Claude Opus 4.7 (Adaptive) vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

Rank #4AskClash overall score: 82.4
$5.00 / $25.0Input and output token price, when published. Context: 1M.
API/OAuthBilling and access path cached for this model row.

Claude Opus 4.7 (Adaptive) benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall82.4
Benchmark cells13
Context1M
CreatorAnthropic

Claude Opus 4.7 (Adaptive) public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

RWT

8.5 score

Coding Agent Index

65.0 score

HLE

54.7 score

GPQA

94.2 score

SWE-bench

87.6 score

SWE-Pro

64.3 score

Terminal-Bench

69.4 score

OSWorld

78.0 score

MCP Atlas

77.3 score

Finance Agent

64.4 score

CharXiv

91.0 score

MMMU-Pro

75.2 score

ARC-AGI 2

75.8 score

Tau2

88.6 score

Claude Opus 4.7 (Adaptive) vs other AI models

Use these comparison links to evaluate Claude Opus 4.7 (Adaptive) against nearby LLMs by benchmark score, price, context window, and provider.

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Claude Token Counter, now with model comparisons

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llm-anthropic 0.25

Release: llm-anthropic 0.25 Simon Willison’s Weblog Subscribe Sponsored by: Teleport — Connect agents to your infra in seconds with Teleport Beams. Built-in identity. Zero secrets. Get early access 16th April 2026 Release llm-anthropic 0.25 — LLM access to models by Anthropic, including the Claude series New model: claude-opus-4.7 , which supports thinking_effort : xhigh . #66 New thinking_display and thinking_adaptive boolean options. thinking_display summarized output is currently only availab

Last cached leaderboard date: June 9, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.