# Claude Opus 4.7: pricing, crowd verdict, pros and cons (2026)

> Anthropic's April 2026 Opus: 87.6% SWE-bench Verified, 1M context, high-res vision, now behind Opus 4.8

Source: [GLAD-AI-TOR](https://glad-ia-tor.com) · Full page: https://glad-ia-tor.com/tool/claude-opus-4-7
Arena: llm-models · Crowd score: 57% recommend (3 votes, Bayesian-smoothed) · Price: $25/1M out

Frontier Opus-tier model released by Anthropic on April 16, 2026, leading agentic coding benchmarks at launch. Ships a 1M-token context window, 128K max output, high-resolution vision and an adaptive-thinking API with the new xhigh effort level. Superseded as flagship by Claude Opus 4.8 (same price, same API surface) in mid-2026.

## Key facts

- provider: Anthropic
- contextWindow: 1M tokens (128K max output)
- priceIn: $5/1M in
- priceOut: $25/1M out
- modalities: text + image input (up to 2576px), text output
- openWeights: no

## Ratings (editorial, 1-5)

- reasoning: 4.5/5
- coding: 4.5/5
- writing: 4.5/5
- speed: 2.5/5
- valueForMoney: 3/5

## Pros

- 87.6% SWE-bench Verified (up from 80.8% on Opus 4.6) and 64.3% SWE-bench Pro at launch, ahead of GPT-5.4 (57.7%) and Gemini 3.1 Pro (54.2%)
- 1M-token context window and 128K max output at flat $5/$25 pricing with no long-context premium (300K output via Batch API beta)
- First Claude with high-resolution vision: accepts images up to 2576px on the long edge with pixel-accurate coordinates, ~3x prior detail
- Standout code review: finds more real bugs with stronger cross-file reasoning than rivals in independent tests, and 21% fewer document-reasoning errors than Opus 4.6
- Fine cost control via new xhigh effort level and Task Budgets (beta): low-effort 4.7 roughly matches medium-effort 4.6 output quality
- Recent knowledge: reliable cutoff of January 2026, the freshest of any Claude model at release

## Cons

- New tokenizer inflates token counts roughly 30% for the same text versus pre-4.7 models (per Anthropic's own docs), raising effective per-request cost despite the unchanged sticker price
- Very verbose in agentic use: one benchmark found GPT-5.5 used 72% fewer output tokens on equivalent coding tasks, and reviewers call its narration over-communicative
- Breaking API changes bite migrators: temperature/top_p/top_k and thinking budget_tokens now return 400 errors, and thinking text is hidden by default
- Moderate latency with minutes-long turns at high effort; fast mode is a premium research preview already deprecated on 4.7
- Superseded by Opus 4.8 at the same $5/$25 within ~3 months, and real-time cybersecurity safeguards can false-positive on legitimate security work

## Best for

- agentic coding
- code review
- long-context document analysis
- autonomous long-horizon agents

## Verdict

Choose Opus 4.7 only if you are already pinned to it for reproducibility: Opus 4.8 costs the same $5/$25, keeps an identical API surface, and outperforms it, making it the better default for new projects. It remains a very strong pick for agentic coding, code review and 1M-context document work, and is a clear upgrade over Opus 4.6. Teams migrating from 4.6 should budget for breaking API changes and a tokenizer that yields roughly 30% more tokens per prompt. Cost-sensitive users should look at Sonnet 5, which delivers near-Opus quality at $3/$15 (intro $2/$10 through August 31, 2026).

## Pricing note

$5 in / $25 out per 1M tokens on the standard API tier, flat up to the full 1M context (no long-context premium); Batch API -50%; new tokenizer yields ~30% more tokens than pre-4.7 models.

## Alternatives and head-to-heads

- [Claude Haiku 4.5](https://glad-ia-tor.com/tool/claude-haiku-4-5) (crowd score 67%) · [Claude Opus 4.7 vs Claude Haiku 4.5](https://glad-ia-tor.com/vs/claude-opus-4-7-vs-claude-haiku-4-5)
- [Claude Fable 5](https://glad-ia-tor.com/tool/claude-fable-5) (crowd score 63%) · [Claude Opus 4.7 vs Claude Fable 5](https://glad-ia-tor.com/vs/claude-opus-4-7-vs-claude-fable-5)
- [Claude Sonnet 5](https://glad-ia-tor.com/tool/claude-sonnet-5) (crowd score 57%) · [Claude Opus 4.7 vs Claude Sonnet 5](https://glad-ia-tor.com/vs/claude-opus-4-7-vs-claude-sonnet-5)
- [Gemini 3 Pro](https://glad-ia-tor.com/tool/gemini-3-pro) (crowd score 57%) · [Claude Opus 4.7 vs Gemini 3 Pro](https://glad-ia-tor.com/vs/claude-opus-4-7-vs-gemini-3-pro)

Full ranking: https://glad-ia-tor.com/hall-of-fame/llm-models

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