Anthropic

Claude Opus 4.7

Tool callingStructured outputReasoningImage inputFile input
Claude Opus 4.7 launch post cover

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

EvaluationReported score and source
ARC-AGI-2
68.3%
Third-party evaluator · claude-opus-4-7_high
Reasoning effort: high
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
62.1%
Third-party evaluator · claude-opus-4-7_low
Reasoning effort: low
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
75.8%
Third-party evaluator · claude-opus-4-7_max
Reasoning effort: max
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
67.5%
Third-party evaluator · claude-opus-4-7_medium
Reasoning effort: medium
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-2025-02-28-Private
43.8%
Epoch AI · claude-opus-4-7_xhigh
Reasoning effort: xhigh
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
22.9%
Epoch AI · claude-opus-4-7_xhigh
Reasoning effort: xhigh
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
31.7%
Epoch AI · claude-opus-4-7_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
70.2%
Epoch AI · claude-opus-4-7_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
86.4%
Epoch AI · claude-opus-4-7_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
90.2%
Epoch AI · claude-opus-4-7_xhigh
Reasoning effort: xhigh
Epoch AI evaluation
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
86.7%
Epoch AI · claude-opus-4-7_max
Reasoning effort: max
Epoch AI evaluation
OTIS Mock AIME 2024-2025
97.8%
Epoch AI · claude-opus-4-7_xhigh
Reasoning effort: xhigh
Epoch AI evaluation
SimpleQA Verified
51.7%
Epoch AI · claude-opus-4-7_xhigh
Reasoning effort: xhigh
Epoch AI evaluation
SWE-Bench verified
83.5%
Epoch AI · claude-opus-4-7_max
Reasoning effort: max
Epoch AI evaluation
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/2.0
Original-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

BenchmarkScoreEvaluation detailsEvidence
SWE-Bench Pro64.3 · resolve rate2026-05-28Source
Terminal-Bench66.1 · success rateTerminus-2 · 2.1 · 2026-05-28Source
SWE-Atlas Refactoring48.57 · scoreClaude CodeSource
Artificial Analysis Coding Agent Index66.6 · average pass@1Claude Code · maxSource
SWE-Atlas Codebase QnA81 · pass@1Claude Code · maxSource
SWE-Bench Pro44.9 · pass@1Claude Code · hard-aa · maxSource
Terminal-Bench73.8 · pass@1Claude Code · max · 2.1Source
Artificial Analysis Coding Agent Index61.2 · average pass@1Cursor CLI · mediumSource
SWE-Atlas Codebase QnA78.4 · pass@1Cursor CLI · mediumSource
SWE-Bench Pro34.4 · pass@1Cursor CLI · hard-aa · mediumSource
Terminal-Bench70.6 · pass@1Cursor CLI · medium · 2.1Source
Artificial Analysis Coding Agent Index59.9 · average pass@1Claude Code · mediumSource
SWE-Atlas Codebase QnA71.7 · pass@1Claude Code · mediumSource
SWE-Bench Pro36.4 · pass@1Claude Code · hard-aa · mediumSource
Terminal-Bench71.4 · pass@1Claude Code · medium · 2.1Source
GPQA Diamond94.2 · accuracy2026-04-23Source
Humanity's Last Exam46.9 · accuracyno tools · 2026-04-23Source
Humanity's Last Exam54.7 · accuracywith tools · 2026-04-23Source
OSWorld-Verified78 · success rate2026-04-23Source
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

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Amazon Bedrockamazon-bedrock/global1M$5.00$25.00$0.50$6.25100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/globalBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Anthropicanthropic1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AnthropicanthropicBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/global1M$5.00$25.00$0.50$6.25—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure/globalBatch pricing1M$5.00$25.00$0.50$6.25—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Claude Platform on AWSclaude-on-aws1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Claude Platform on AWSclaude-on-awsBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global1M$5.00$25.00$0.50$6.25100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/globalBatch pricing1M$5.00$25.00$0.50$6.25100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/eu-west-11M$5.50$27.50$0.55$6.88—
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Amazon Bedrockamazon-bedrock/eu-west-1Batch pricing1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us1M$5.50$27.50$0.55$6.88—
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/europe1M$5.50$27.50$0.55$6.88—
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/usBatch pricing1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/europeBatch pricing1M$5.50$27.50$0.55$6.88—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

Transitioning

Claude 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