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Opus 4.7

Reasoning modelCoding modelOpusClaude 4.7

Claude Opus 4.7

Release date: 2026-04-16Updated: 2026-08-23Knowledge cutoff: 2026-01Views: 6,357
Live demoGitHubHugging FaceCompare
Parameters
No data
Context length
1000K
Multilingual
Supported
Reasoning ability
5/5

Opus 4.7 is a reasoning model from Anthropic, released on 2026-04-16. It accepts text and image input and returns text output. The recorded context window is 1000K, and the recorded maximum output is 128K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Opus 4.7

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Level · Extended (Default)Standard ModeThinking Level · MediumThinking Level · HighThinking Level · Extra-High
Context length
1000K tokens
Max output length
128K tokens
Model type
Reasoning model
Modality (in / out)
Text, Image → Text
Release date
2026-04-16
Model file size
No data
MoE architecture
No
Total params / Active params
No data / Not applicable
Knowledge cutoff
2026-01
Opus 4.7

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
N/A
Hugging Face
N/A
Live demo
Opus 4.7

Official resources

Paper
DataLearnerAI blog
Opus 4.7

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-$5.00/ 1M$25.00/ 1M
Batch
TypeConditionInputOutput
Text-$2.50/ 1M$12.50/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text5m$6.25/ 1M$0.500/ 1M
Text1h$10.00/ 1M$0.500/ 1M

“—” means the modality is not billed in that direction, or the vendor has not published a price for it.

Opus 4.7

Benchmark Results

Opus 4.7 currently shows benchmark results led by GPQA Diamond (5 / 226, score 94.20), GSO (1 / 21, score 44.12), MMLU (6 / 124, score 91.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
Tool usage

General Knowledge

16 evaluations
Benchmark / mode
Score
Rank/total
91
15 / 68
ARC-AGI
Medium
91
15 / 68
93.50
11 / 68
92
13 / 68
MMLU
Standard Mode
91.50
6 / 124
70.09
39 / 115
LiveBench
Medium
72.31
27 / 115
74.89
18 / 115
76.91
7 / 115
62.10
19 / 62
ARC-AGI-2
Medium
67.50
16 / 62
68.30
15 / 62
75.80
11 / 62
HLE
Extended
46.90
42 / 185
HLE
ExtendedTools
54.70
17 / 185
0
8 / 9

General Evaluation

3 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Extended
94.20
5 / 226
86.36
76 / 226
GPQA Diamond
Extra-High
90.15
42 / 226

Coding and Software Engineer

7 evaluations
Benchmark / mode
Score
Rank/total
Text Arena (Coding)
Standard Mode
1562.39
7 / 35
SWE-bench Verified
ExtendedTools
87.60
6 / 114
WeirdML v2
Standard ModeTools
76.40
13 / 52
WeirdML v2
HighTools
76.40
13 / 52
64.30
9 / 59
GSO
Standard ModeTools
44.12
1 / 21
GSO
HighTools
44.10
2 / 21

Writing and Creative Capabilities

1 evaluations
Benchmark / mode
Score
Rank/total
Creative Writing
Standard Mode
1906.40
7 / 99

Common Sense Reasoning

1 evaluations
Benchmark / mode
Score
Rank/total
SimpleBench
Standard Mode
62.90
12 / 67

Math and Reasoning

4 evaluations
Benchmark / mode
Score
Rank/total
70.18
14 / 34
FrontierMath
Extra-High
43.80
6 / 60
31.71
14 / 34
22.90
12 / 80

AI Agent - Information Search

1 evaluations
Benchmark / mode
Score
Rank/total
BrowseComp
ExtendedTools
79.30
17 / 54

AI Agent - Tool Usage

6 evaluations
Benchmark / mode
Score
Rank/total
MCP-Atlas
MaxTools
79.10
11 / 40
MCP-Atlas
DeepTools
79.10
11 / 40
OSWorld-Verified
ExtendedTools
78
11 / 26
69.70
35 / 47
68.90
36 / 47
Terminal Bench 2.0
ExtendedTools
69.40
6 / 48

Compare with other models

Opus 4.7

Publisher

Claude Opus 4.7

Model Overview

Opus 4.7 is a reasoning model from Anthropic, released on 2026-04-16.

It accepts text and image input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The recorded context window is 1000K, and the recorded maximum output is 128K.

The model weights are proprietary and are not published for download. The page records 8 API pricing rules from Anthropic; current provider pricing and conditions should be checked before deployment. The evaluation section contains 27 cataloged benchmark results with their recorded modes and scores. The page links 3 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Opus 4.7

FAQ

What is Opus 4.7?

Opus 4.7 is a reasoning model from Anthropic, released on 2026-04-16. It accepts text and image input and returns text output. The recorded context window is 1000K, and the recorded maximum output is 128K. Cataloged capabilities include Reasoning model and Multilingual. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.

What input and output modalities does Opus 4.7 support?

The current model record lists text and image as input and text as output.

What are the main recorded specifications for Opus 4.7?

The recorded context window is 1000K, and the recorded maximum output is 128K. Fields without a source-backed value remain undisclosed.

Does Opus 4.7 have API pricing?

The page records 8 API pricing rules from Anthropic; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for Opus 4.7?

The evaluation section contains 27 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Opus 4.7 open source?

The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.

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