Claude Opus 4.7

Stronger Opus tier for advanced software work and high-stakes reasoning
- Context
- 1M
- Released
- 6mo ago
- Input / 1M tokens
- $5.00
- Output / 1M tokens
- $25.00
- Cached input / 1M tokens
- $0.50
- Cache write / 1M tokens
- $6.25
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
Other published benchmarks
| Evaluation | Reported score and source |
|---|---|
| ARC-AGI-2 | 68.3% Third-party evaluator · claude-opus-4-7_high Reasoning effort: high External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 62.1% Third-party evaluator · claude-opus-4-7_low Reasoning effort: low External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 75.8% Third-party evaluator · claude-opus-4-7_max Reasoning effort: max External evaluation via Epoch AIOriginal-source terms apply |
| ARC-AGI-2 | 67.5% Third-party evaluator · claude-opus-4-7_medium Reasoning effort: medium External evaluation via Epoch AIOriginal-source terms apply |
| FrontierMath-2025-02-28-Private | |
| FrontierMath-Tier-4-2025-07-01-Private | |
| FrontierMath-Tier-4-v2-Private | |
| FrontierMath-Tiers-1-3-v2-Private | |
| GPQA diamond | |
| GPQA diamond | |
| OSWorld 2.0 | 13.9% https://osworld-v2.xlang.ai/ · claude-opus-4-7_max Reasoning effort: max https://osworld-v2.xlang.ai/Original-source terms apply |
| OTIS Mock AIME 2024-2025 | |
| OTIS Mock AIME 2024-2025 | |
| SimpleQA Verified | |
| SWE-Bench verified | |
| Terminal Bench | 80.2% https://www.tbench.ai/leaderboard/terminal-bench/2.0 · claude-opus-4-7_unknown Agent: WOZCODE · Reasoning effort: unknown https://www.tbench.ai/leaderboard/terminal-bench/2.0Original-source terms apply |
Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.
Specifications
- Developer
- Anthropic
- Model family
- Claude
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- April 16, 2026
- Model ID
anthropic/claude-opus-4.7- Openness
- Closed
- License
- —
- Input modalities
- text, image, file
- Output modalities
- text
- Modality
- text+image+file->text
- Tokenizer
- Claude
- Max output tokens
- 128K
- Knowledge cutoff
- 2026-01-31
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- anthropic/claude-opus-4-7
- Source family
- claude-opus
- Last updated
- 2026-04-16
- Knowledge cutoff
- 2026-01-31
- Model context
- 1M
- Model output limit
- 128K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- No
Published benchmarks
| Benchmark | Score | Evaluation details | Evidence |
|---|---|---|---|
| SWE-Bench Pro | 64.3 · resolve rate | 2026-05-28 | Source |
| Terminal-Bench | 66.1 · success rate | Terminus-2 · 2.1 · 2026-05-28 | Source |
| SWE-Atlas Refactoring | 48.57 · score | Claude Code | Source |
| Artificial Analysis Coding Agent Index | 66.6 · average pass@1 | Claude Code · max | Source |
| SWE-Atlas Codebase QnA | 81 · pass@1 | Claude Code · max | Source |
| SWE-Bench Pro | 44.9 · pass@1 | Claude Code · hard-aa · max | Source |
| Terminal-Bench | 73.8 · pass@1 | Claude Code · max · 2.1 | Source |
| Artificial Analysis Coding Agent Index | 61.2 · average pass@1 | Cursor CLI · medium | Source |
| SWE-Atlas Codebase QnA | 78.4 · pass@1 | Cursor CLI · medium | Source |
| SWE-Bench Pro | 34.4 · pass@1 | Cursor CLI · hard-aa · medium | Source |
| Terminal-Bench | 70.6 · pass@1 | Cursor CLI · medium · 2.1 | Source |
| Artificial Analysis Coding Agent Index | 59.9 · average pass@1 | Claude Code · medium | Source |
| SWE-Atlas Codebase QnA | 71.7 · pass@1 | Claude Code · medium | Source |
| SWE-Bench Pro | 36.4 · pass@1 | Claude Code · hard-aa · medium | Source |
| Terminal-Bench | 71.4 · pass@1 | Claude Code · medium · 2.1 | Source |
| GPQA Diamond | 94.2 · accuracy | 2026-04-23 | Source |
| Humanity's Last Exam | 46.9 · accuracy | no tools · 2026-04-23 | Source |
| Humanity's Last Exam | 54.7 · accuracy | with tools · 2026-04-23 | Source |
| OSWorld-Verified | 78 · success rate | 2026-04-23 | Source |
Complete source record (JSON)
{
"id": "anthropic/claude-opus-4-7",
"name": "Claude Opus 4.7",
"description": "Stronger Opus tier for advanced software work and high-stakes reasoning",
"family": "claude-opus",
"last_updated": "2026-04-16",
"knowledge": "2026-01-31",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": false,
"modalities": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 1000000,
"output": 128000
},
"benchmarks": [
{
"name": "SWE-Bench Pro",
"score": 64.3,
"source": "https://www.anthropic.com/news/claude-opus-4-8",
"metric": "resolve rate",
"date": "2026-05-28"
},
{
"name": "Terminal-Bench",
"score": 66.1,
"source": "https://www.anthropic.com/news/claude-opus-4-8",
"metric": "success rate",
"harness": "Terminus-2",
"version": "2.1",
"date": "2026-05-28"
},
{
"name": "SWE-Atlas Refactoring",
"score": 48.57,
"source": "https://labs.scale.com/leaderboard/sweatlas-refactoring",
"metric": "score",
"harness": "Claude Code"
},
{
"name": "Artificial Analysis Coding Agent Index",
"score": 66.6,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "average pass@1",
"harness": "Claude Code",
"variant": "max"
},
{
"name": "SWE-Atlas Codebase QnA",
"score": 81,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Claude Code",
"variant": "max"
},
{
"name": "SWE-Bench Pro",
"score": 44.9,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Claude Code",
"variant": "max",
"dataset": "hard-aa"
},
{
"name": "Terminal-Bench",
"score": 73.8,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Claude Code",
"variant": "max",
"version": "2.1"
},
{
"name": "Artificial Analysis Coding Agent Index",
"score": 61.2,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "average pass@1",
"harness": "Cursor CLI",
"variant": "medium"
},
{
"name": "SWE-Atlas Codebase QnA",
"score": 78.4,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Cursor CLI",
"variant": "medium"
},
{
"name": "SWE-Bench Pro",
"score": 34.4,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Cursor CLI",
"variant": "medium",
"dataset": "hard-aa"
},
{
"name": "Terminal-Bench",
"score": 70.6,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Cursor CLI",
"variant": "medium",
"version": "2.1"
},
{
"name": "Artificial Analysis Coding Agent Index",
"score": 59.9,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "average pass@1",
"harness": "Claude Code",
"variant": "medium"
},
{
"name": "SWE-Atlas Codebase QnA",
"score": 71.7,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Claude Code",
"variant": "medium"
},
{
"name": "SWE-Bench Pro",
"score": 36.4,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Claude Code",
"variant": "medium",
"dataset": "hard-aa"
},
{
"name": "Terminal-Bench",
"score": 71.4,
"source": "https://artificialanalysis.ai/agents/coding-agents",
"metric": "pass@1",
"harness": "Claude Code",
"variant": "medium",
"version": "2.1"
},
{
"name": "GPQA Diamond",
"score": 94.2,
"source": "https://openai.com/index/introducing-gpt-5-5/",
"metric": "accuracy",
"date": "2026-04-23"
},
{
"name": "Humanity's Last Exam",
"score": 46.9,
"source": "https://openai.com/index/introducing-gpt-5-5/",
"metric": "accuracy",
"variant": "no tools",
"date": "2026-04-23"
},
{
"name": "Humanity's Last Exam",
"score": 54.7,
"source": "https://openai.com/index/introducing-gpt-5-5/",
"metric": "accuracy",
"variant": "with tools",
"date": "2026-04-23"
},
{
"name": "OSWorld-Verified",
"score": 78,
"source": "https://openai.com/index/introducing-gpt-5-5/",
"metric": "success rate",
"date": "2026-04-23"
}
],
"release_date": "2026-04-16",
"open_weights": false
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| amazon-bedrock/global | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/globalBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| anthropic | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| anthropicBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/global | 1M | $5.00 | $25.00 | $0.50 | $6.25 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| azure/globalBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| claude-on-aws | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| claude-on-awsBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/global | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/globalBatch pricing | 1M | $5.00 | $25.00 | $0.50 | $6.25 | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/eu-west-1 | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| amazon-bedrock/eu-west-1Batch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/us | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/europe | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/usBatch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-vertex/europeBatch pricing | 1M | $5.50 | $27.50 | $0.55 | $6.88 | — | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
TransitioningClaude text watermarking
Anthropic says Claude models launched before August 2, 2026 have a transition period and are being moved to the same watermarking system over time.
Official explanation