Claude Opus 4.7 Review: Benchmarks & Pricing (2026)
By Loïc Jané · Founder, Fleece AI
Claude Opus 4.7: Anthropic's New Flagship Explained
At a Glance: Claude Opus 4.7 was Anthropic's most capable generally-available model at its April 16, 2026 release, with 87.6% on SWE-bench Verified (up from 80.8% for Opus 4.6), 3.75-megapixel vision support, and a new self-verification behavior — at the same $5/$25 per million tokens as Opus 4.6. On Fleece AI, Opus 4.7 remains a Business-tier model. See our full AI model comparison.
Update (October 2026): Opus 4.7 is now a legacy model, still available on the API with retirement not sooner than April 16, 2027. Anthropic has since shipped Claude Opus 4.8, Claude Opus 5, and the current Claude Opus 5.5 ($4/$20 per million tokens, 1M context), with Claude Fable 5.1 above it for the most demanding work. The rivals in the comparison below have moved on too: OpenAI's models page now lists GPT-6 Astra as its flagship, with GPT-6.1 Sol and GPT-6 Luna below it. On Fleece AI, Claude Opus 5.5 is the recommended Anthropic model on the Business plan; Opus 4.8 and 4.7 stay selectable on Business, Opus 4.6 runs only for agents already pinned to it, and Claude Fable 5 is on Enterprise. The review below describes Opus 4.7 as of its release.
Claude Opus 4.7 is Anthropic's new flagship large language model, announced on April 16, 2026. Opus 4.7 is positioned as a direct successor to Opus 4.6 — same price, stronger on most of Anthropic's published benchmarks, and with a new ability to double-check its own work. It is not stronger everywhere: it scored lower than Opus 4.6 on BrowseComp and CyberGym. On Fleece AI, Opus 4.7 is available as a Business-tier model, alongside the newer Claude Opus 5.5.
Table of Contents
- What Is Claude Opus 4.7?
- Key Takeaways
- What Changed Since Opus 4.6
- Benchmarks and Real-World Performance
- Best Use Cases on Fleece AI
- How to Use Opus 4.7 on Fleece AI
- Opus 4.7 vs Other Frontier Models
- Frequently Asked Questions
Key Takeaways
- Claude Opus 4.7 was Anthropic's most capable generally-available model when released on April 16, 2026, positioned below the gated Mythos Preview and above Opus 4.6 on a range of benchmarks. It has since been superseded by Opus 4.8, Opus 5, and Opus 5.5.
- The release brought 87.6% on SWE-bench Verified and 64.3% on SWE-bench Pro (vs 80.8% and 53.4% for Opus 4.6, per Anthropic's announcement), high-resolution vision up to 3.75 megapixels, and a new tokenizer.
- Pricing is unchanged from Opus 4.6: $5 per million input tokens, $25 per million output tokens, making 4.7 a strict upgrade for any workflow previously running on 4.6.
- Opus 4.7 introduces a self-checking behavior — the model can verify its own output against the user's instructions before returning, improving long-horizon agent reliability.
- On Fleece AI, Opus 4.7 was the recommended Business model for complex delegative AI workflows until Claude Opus 5.5 replaced it; 4.7 remains selectable on Business, and 4.6 runs only for agents already pinned to it.
What Is Claude Opus 4.7?
Claude Opus 4.7 is a frontier large language model developed by Anthropic and released in mid-April 2026. According to Anthropic's own release notes, the model is better at software engineering, follows instructions more reliably, and completes more real-world work than any previous generally-available Claude — while remaining safer than the company's unreleased Mythos Preview.
In its announcement, Anthropic says Opus 4.7 "shows better results than Opus 4.6 across a range of benchmarks" but is "less broadly capable" than Claude Mythos Preview, the gated research model behind Project Glasswing. In practice this meant Opus 4.7 was the strongest Anthropic model you could deploy in production as of April 2026.
On Fleece AI, Opus 4.7 sits on the Business plan next to Opus 4.8 and 5.5. For new workflows that chain 10+ steps or need nuanced long-form output, Claude Opus 5.5 is now the better default.
What Changed Since Opus 4.6
Stronger Coding and Agentic Work
Anthropic's announcement cites a customer's 93-task coding benchmark on which Opus 4.7 lifted resolution by 13% over Opus 4.6, and Rakuten reporting 3x more production tasks resolved on Rakuten-SWE-Bench. On SWE-bench Verified, the score rose from 80.8% to 87.6%. For Fleece AI users, this matters most on code-heavy workflows and on agents that grind through multi-step API chains without a human in the loop.
High-Resolution Vision (3.75 MP)
Opus 4.7 accepts images up to 2,576 pixels on the long edge (about 3.75 megapixels), which Anthropic says is more than three times as many pixels as prior Claude models. In workflow terms this unlocks OCR on dense documents, detailed dashboard screenshots, and high-fidelity receipt or invoice processing without needing to downscale the source image first.
Self-Checking Behavior
Anthropic says Opus 4.7 "devises ways to verify its own outputs before reporting back" — re-checking its draft against the user's instructions and catching mismatches before returning. For agents, this reduces the most annoying failure mode — confidently-wrong answers that superficially match the schema but miss a key constraint.
New Tokenizer
Opus 4.7 ships with an updated tokenizer. Anthropic notes that the same input can map to roughly 1.0–1.35x more tokens depending on the content type, so a workflow can cost somewhat more per call than on Opus 4.6 despite identical per-token pricing. Keep this in mind for credit consumption on long inputs.
Safety Safeguards
Anthropic is shipping Opus 4.7 with built-in detection and blocking for prompts that indicate prohibited cybersecurity uses. For Fleece AI Business and Enterprise customers, this means lower compliance surface area when the model is exposed to user-generated instructions.
Benchmarks and Real-World Performance
Anthropic's release table compares Opus 4.7 with Opus 4.6, GPT-5.4 and Gemini 3.1 Pro. Opus 4.7 led the three rivals on SWE-bench Pro, SWE-bench Verified, MCP-Atlas, OSWorld-Verified and Finance Agent. It did not lead everywhere: GPT-5.4 scored higher on Terminal-Bench 2.0 on its own harness, and Opus 4.7 placed last of the four on BrowseComp.
| Benchmark | Opus 4.7 | Opus 4.6 | GPT-5.4 | Gemini 3.1 Pro |
|---|---|---|---|---|
| SWE-bench Pro (agentic coding) | 64.3% | 53.4% | 57.7% | 54.2% |
| SWE-bench Verified (agentic coding) | 87.6% | 80.8% | — | 80.6% |
| Terminal-Bench 2.0 (terminal coding) | 69.4% | 65.4% | 75.1% (self-reported harness) | 68.5% |
| MCP-Atlas (scaled tool use) | 77.3% | 75.8% | 68.1% | 73.9% |
| OSWorld-Verified (computer use) | 78.0% | 72.7% | 75.0% | — |
| Finance Agent v1.1 | 64.4% | 60.1% | 61.5% (Pro) | 59.7% |
| BrowseComp (agentic search) | 79.3% | 83.7% | 89.3% (Pro) | 85.9% |
| CyberGym | 73.1% | 73.8% | 66.3% | — |
| GPQA Diamond | 94.2% | 91.3% | 94.4% (Pro) | 94.3% |
Source: Anthropic, "Introducing Claude Opus 4.7", April 16, 2026, retrieved October 6, 2026. All figures are vendor-reported by Anthropic. For GPT-5.4 and Gemini 3.1 Pro, Anthropic used the best reported version available via API; "Pro" marks a GPT-5.4 Pro score. Terminal-Bench 2.0 used the Terminus-2 harness. SWE-bench Verified, Terminal-Bench 2.0, OSWorld-Verified and MCP-Atlas have since been retired, replaced or re-scored (see AI Agent Benchmarks 2026 Explained), so these numbers compare Opus 4.7 with its April 2026 peers, not with current models.
Outside that table, Anthropic's announcement quotes a Cursor result of 70% on CursorBench for Opus 4.7, against 58% for Opus 4.6.
The practical takeaway for autonomous AI agents running on Fleece AI: Opus 4.7 completed more tasks correctly on the first try than 4.6, which compounds across multi-step flows into meaningful reliability gains.
Best Use Cases on Fleece AI
Deep Research and Analysis
"Every Monday at 8 AM, pull all new arXiv papers tagged 'AI safety', summarize each paper's methodology and findings, and compile a research digest with cross-paper insights. Email it to the research team."
Opus 4.7's self-checking behavior and 128K output tokens make it ideal for research synthesis workflows that must get every citation right.
High-Fidelity Document Processing
"When a new contract lands in Google Drive, analyze it for key terms, renewal clauses, and liability provisions. Flag risks, generate a structured summary, and post to Slack #legal."
With 3.75-MP vision, Opus 4.7 reads scanned contracts and invoices without downscaling — fewer OCR artifacts, cleaner extraction.
Long-Horizon Agentic Coding
"Every day, scan our GitHub repo for PRs older than 3 days. For each, review the diff, run static analysis, and post a review comment highlighting risks."
The coding gains and better instruction-following translate directly to GitHub automation workflows that the model completes without human nudges.
Multi-Source Executive Reporting
"Every month, pull data from Salesforce (pipeline), Stripe (revenue), HubSpot (leads), and Google Analytics (traffic). Generate an investor-ready report with chart descriptions and commentary."
Opus 4.7 can generate comprehensive reports in a single pass thanks to its 128K output ceiling and improved long-form coherence.
How to Use Opus 4.7 on Fleece AI
- Upgrade to Business at fleeceai.app/subscribe.
- Open any chat, agent, or flow.
- Click the model selector — Claude Opus 5.5, 4.8 and 4.7 appear with a Business badge.
- Select Opus 4.7 (or Opus 5.5 for new workflows) and describe your workflow in natural language.
Starter and Pro users see Opus 4.7 in the model list with a lock icon. Clicking it shows an upgrade prompt. Agents previously pinned to Opus 4.6 keep running on 4.6 — you can opt them into 4.7 manually or leave them on the older version.
Unlock Claude Opus 4.7 and 5.5 — Upgrade to Fleece AI Business for Anthropic's Opus models plus GPT-5.6 Sol on every workflow.
Opus 4.7 vs Other Frontier Models
| Feature | Opus 4.7 | Opus 4.6 | GPT-5.4 | Gemini 3.1 Pro |
|---|---|---|---|---|
| Context window | 1M | 1M | 1.05M | 1,048,576 |
| Max output tokens | 128K | 128K | 128K | 65,536 |
| SWE-bench Pro (Anthropic's table) | 64.3% | 53.4% | 57.7% | 54.2% |
| API price per M tokens (input / output) | $5 / $25 | $5 / $25 | $2.50 / $15 | $2 / $12 (prompts up to 200K) |
| Status in October 2026 | Legacy, available | Legacy, available | Available; GPT-6 is now OpenAI's flagship | Preview |
| Fleece AI plan | Business | Pinned agents only | Pinned agents only | Not offered |
Sources, retrieved October 6, 2026: Claude Opus 4.7 and Claude Opus 4.6 model pages, OpenAI's GPT-5.4 model page, Google's Gemini 3.1 Pro Preview model page and Gemini API pricing. Benchmark row from Anthropic's announcement.
For the full head-to-head against Google's flagship, see our Gemini 3.1 Pro vs Claude Opus 4.6 comparison — much of the analysis carries over to 4.7.
Frequently Asked Questions
How does Claude Opus 4.7 compare to Opus 4.6?
Opus 4.7 improved on 4.6 across coding benchmarks (87.6% vs 80.8% on SWE-bench Verified), with 3.75-MP vision (more than three times the pixels of prior Claude models) and a new self-verification behavior, at the same $5/$25 per million token pricing. Its new tokenizer can use up to about 1.35x more tokens for the same input. On Fleece AI Business, Opus 4.7 remains selectable (4.6 only runs for agents already pinned to it), but Claude Opus 5.5 is now the recommended Anthropic model for new workflows.
Is Claude Opus 4.7 worth the Business plan upgrade?
If your workflows chain 10+ steps, process contracts or long documents, or run unattended overnight, yes. Opus 4.7's self-checking behavior and coding reliability are most visible on long-horizon autonomous agents. For routine data transformations, Starter-plan models such as Kimi K3 or GPT-5.2 are usually enough. If you do upgrade, Business also includes the newer Claude Opus 5.5.
Can Claude Opus 4.7 integrate with Gmail, Slack, and my other apps?
Yes — through Fleece AI. Opus 4.7 on its own is a model API; it doesn't ship with integrations. On Fleece AI it plugs into 3,000+ apps via Pipedream MCP, with managed OAuth and no token management.
How much does Claude Opus 4.7 automation cost?
Anthropic charges $5 per million input tokens and $25 per million output tokens — identical to Opus 4.6. On Fleece AI Business (€199/month, or €159/month billed yearly), Opus 4.7 is included within your 20,000 monthly credits — no per-token billing. For a full pricing breakdown see the Fleece AI pricing page.
What are the limitations of Claude Opus 4.7?
Four honest caveats: (1) At launch, Anthropic stated Opus 4.7 is "less broadly capable" than its gated Mythos Preview. (2) It was not better than Opus 4.6 everywhere: Anthropic's own table shows it lower on BrowseComp (79.3% vs 83.7%) and CyberGym (73.1% vs 73.8%). (3) It is now a legacy model: Claude Opus 5.5 is cheaper per token ($4/$20) and is Anthropic's current Opus model, also on Fleece AI Business. (4) If your workflow is 50+ simple API calls rather than a few deep reasoning steps, benchmark a cheaper Starter model such as Kimi K3 first.
The Bottom Line
Claude Opus 4.7 was what Opus 4.6 should have been: same price, better on every published coding benchmark, with a self-verification behavior that most directly helps long-running agents. As of October 2026 it has been superseded by Claude Opus 5.5, which is the Anthropic model to pick for new Fleece AI Business workflows; Opus 4.7 remains available for agents already tuned to it.
Related Articles
- Claude Opus 4.6 Review — the predecessor Opus 4.7 replaces
- GPT-5.2 on Fleece AI — reliable tool calling, Starter plan
- Best AI Models for Workflow Automation 2026 — full comparison
- Claude vs Fleece: Assistant vs Agent — Claude standalone vs Claude powering Fleece AI
- What Is Delegative AI? — pillar explainer
- Best Autonomous AI Agents 2026 — platform roundup
Start on Fleece AI Business — Claude Opus 5.5 and 4.7, GPT-5.6 Sol, 3,000+ integrations, 20,000 credits/month.