Claude Opus 4.7: Benchmarks, Pricing and What It Means for AI Agents in 2026
Anthropic Claude Opus 4.7 — 87.6% on SWE-bench, best-in-class tool use, 3x vision resolution.
Released April 16, 2026 — here is what developers and AI teams need to know.
TL;DR: Opus 4.7 jumps to 87.6% on SWE-bench Verified, leads all public models in tool use (MCP-Atlas: 77.3%), and gets 3x vision resolution — all at the same $5/$25 pricing. But web search took a hit, and a new tokenizer may increase your real costs.
The Benchmark Numbers That Matter
| Benchmark | Opus 4.7 | Opus 4.6 | GPT-5.4 | Gemini 3.1 Pro | Mythos Preview |
|---|---|---|---|---|---|
| SWE-bench Verified | 87.6% | 80.8% | — | 80.6% | 93.9% |
| SWE-bench Pro | 64.3% | 53.4% | 57.7% | 54.2% | 77.8% |
| MCP-Atlas (Tool Use) | 77.3% | 75.8% | 68.1% | 73.9% | — |
| OSWorld (Computer Use) | 78.0% | 72.7% | 75.0% | — | 79.6% |
| GPQA Diamond | 94.2% | 91.3% | 94.4% | 94.3% | 94.6% |
| BrowseComp (Web Search) | 79.3% | 83.7% | 89.3% | 85.9% | 86.9% |
| CharXiv (Visual) | 82.1% | 69.1% | — | — | 86.1% |
| HLE (no tools) | 46.9% | 40.0% | 42.7% | 44.4% | 56.8% |
Where Opus 4.7 Wins
- Coding: 6.8-point jump on SWE-bench Verified — the biggest single-generation leap
- Tool Use: Best-in-class on MCP-Atlas, beating GPT-5.4 by 9.2 points
- Vision: 13-point jump on CharXiv, images at 2,576px resolution (3.75 megapixels)
- Finance Agent: Leads at 64.4%, beating GPT-5.4 Pro (61.5%)
Where It Doesn't
- Web Research: BrowseComp dropped from 83.7% to 79.3%
- Multilingual: Gemini 3.1 Pro still leads MMMLU at 92.6% vs 91.5%
Pricing: Same on Paper, Different in Practice
| Plan | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| Claude Opus 4.7 | $5.00 | $25.00 |
| Claude Opus 4.6 | $5.00 | $25.00 |
Opus 4.7 uses a new tokenizer producing up to 35% more tokens for the same input. Net effect: fewer retries, so complex tasks often cost less overall.
What's New Under the Hood
1. Vision Resolution Tripled
Images up to 2,576 pixels on the long edge (~3.75 megapixels) — more than 3x previous Claude models. One partner saw visual acuity jump from 54.5% to 98.5%.
2. Self-Verification Loop
The model verifies its own outputs before reporting back. Fewer hallucinated code paths, more reliable unattended execution.
3. Production Cybersecurity Safeguards
First Opus model with cybersecurity safeguards. Tested before rolling out to Mythos-class models.
Opus 4.7 vs Mythos: The Real Gap
| Capability | Opus 4.7 | Mythos Preview | Gap |
|---|---|---|---|
| SWE-bench Verified | 87.6% | 93.9% | -6.3 pts |
| HLE (with tools) | 54.7% | 64.7% | -10.0 pts |
| Computer Use | 78.0% | 79.6% | -1.6 pts |
| Availability | Public | Private (Glasswing only) | — |
Should You Upgrade?
Upgrade immediately if:
- Building coding agents or dev tools
- Using tool-calling workflows (MCP integrations)
- Processing screenshots or visual data
- Need autonomous computer use
Wait if:
- Primary use is web research (BrowseComp regressed)
- Heavily token-cost sensitive on simple tasks
Migration Guide
# Just swap the model identifier response = client.messages.create( model="claude-opus-4-7", # was claude-opus-4-6 )
Available on: Claude.ai | API | Amazon Bedrock | Google Vertex AI | Microsoft Foundry
FAQ
Q: Is Opus 4.7 better than GPT-5.4? A: For coding and tool use — yes, by significant margins. For web research, GPT-5.4 Pro still leads.
Q: Will my Opus 4.6 integrations break? A: No. API-compatible. Just swap the model identifier.
Q: When will Mythos be publicly available? A: Not announced. Currently limited to Project Glasswing partners.
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