Claude Opus 4.7: pricing, context and performance

Overview

Claude Opus 4.7 is a language model from Anthropic, released on April 16, 2026. That makes it 6 months old as of October 22, 2026. It is a closed model: you access it through an API, from Anthropic or one of the 49 providers listed on models.dev. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money.

We file it under mid-range models (34 models in this category on the site).

Benchmark results

According to results published by Epoch AI (checked on October 22, 2026), Claude Opus 4.7 has a capability index of 83.3 out of 100, computed on 7 benchmarks from our basket.

That puts it at #24 in our weekly model ranking.

• GPQA Diamond (PhD-level science questions): 90.2% — the best tracked model, Gemini 4 Argon, reaches 96.4%
• OTIS Mock AIME (competition mathematics problems): 97.8% — the best tracked model, GPT-5.5 Pro, reaches 100%
• FrontierMath (very hard research-level mathematics): 70.2% — the best tracked model, GPT-6 Astra, reaches 93.7%
• SWE-bench Verified (fixing real software bugs): 83.5% — best score among tracked models

How much does Claude Opus 4.7 cost?

Claude Opus 4.7 costs $5 per million input tokens and $25 per million output tokens (median of 49 providers, checked on October 22, 2026).

To put it in perspective: reading 20,000 tokens (about thirty pages) and writing 2,000 costs roughly $0.15; a thousand of those tasks, $150.

That is 5.7 times the median output price of mid-range models ($4.38).

To estimate your own budget, use the agent cost calculator.

Context and capabilities

Its context window reaches 1,000,000 tokens, roughly 1,500 pages of text at 500 words per page: enough to load a whole book or a mid-sized codebase. A single answer can run to 128,000 tokens.

It accepts as input: text, image and PDF. Its knowledge stops at January 31, 2026: beyond that, it needs web search or your documents.

It can call tools (functions, APIs), which makes it a possible foundation for an AI agent.

When to choose it

Given its category, Claude Opus 4.7 is mainly aimed at a balance between quality and cost, for everyday uses that do not justify a frontier model.

Its SWE-bench Verified result (83.5%, above the median of tracked models) makes it a serious candidate for coding agents.

Its very large context window makes it worth considering for analysing large sets of documents in a single request.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

Alternatives

In the same category, the models closest to Claude Opus 4.7 are:

• Claude Opus 4.8 (Anthropic, index 83.4) — see the comparison
• Gemini 3.8 Flash (Google DeepMind, index 83.7) — see the comparison
• Gemini 3 Flash Preview (Google DeepMind, index 80.3) — see the comparison
• Grok 4.7 (xAI, index 79.9) — see the comparison