The arena · AI model review
Claude Opus 4.7
by Anthropic
Anthropic's April 2026 Opus: 87.6% SWE-bench Verified, 1M context, high-res vision, now behind Opus 4.8
$25/1M out
$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.
Anthropic
1M tokens (128K max output)
$5/1M in
$25/1M out
text + image input (up to 2576px), text output
No
What is Claude Opus 4.7?
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 Superseded as flagship by Claude Opus 4.8 (same price, same API surface) in mid-2026.
Claude Opus 4.7 pros & cons
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- Superseded by Opus 4.8 at the same $5/$25 within ~3 months, and real-time cybersecurity safeguards can false-positive on legitimate security work
The arena’s 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).
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Top Claude Opus 4.7 alternatives
All alternativesAnthropic's fastest model: about 90% of Sonnet 4.5's coding skill at $1/$5 per 1M tokens, 200K context.
Anthropic's flagship Opus-tier model for long-horizon agentic coding; 1M context at $5/$25 per 1M tokens.
Anthropic's most agentic Sonnet: near Opus 4.8 quality on coding and agents at $3/$15 with 1M context
Compare Claude Opus 4.7 head-to-head
What the crowd says
“Watch your invoices. New tokenizer counts ~30% more tokens for the same text, and it narrates every tiny step. Sticker price unchanged, effective cost definitely not.”
“Came from 4.6 and stopped chunking repos entirely. 1M context, 128K output, flat $5/$25 with no long-context premium. That pricing decision alone won me over.”
“87.6 SWE-bench Verified is not just marketing, it closes tickets GPT-5.4 fumbles. And the hi-res vision with pixel-accurate coords finally makes screenshot debugging useful.”
Claude Opus 4.7: frequently asked questions
How much does Claude Opus 4.7 cost per 1M tokens?
Claude Opus 4.7 costs $5/1M in per 1M input tokens and $25/1M out per 1M output tokens. $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.