DataLearner logo
OP

Opus 4.5

Reasoning modelOpusClaude 4.5

Claude Opus 4.5

Release date: 2025-11-25Updated: 2026-06-15 07:18:22.444Knowledge cutoff: 2025-032,400
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
200K
Chinese support
Supported
Reasoning ability

Claude Opus 4.5 is an AI model published by Anthropic, released on 2025-11-25, for Reasoning model, and 200K context length, under the 不开源 license, with a 93.30 score on AIME 2026.

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

Opus 4.5

Model basics

Reasoning traces
Supported
Thinking modes
Thinking Level · Extended (Default)Standard Mode
Context length
200K tokens
Max output length
64K tokens
Model type
Reasoning model
Modality (in / out)
Text, Image → Text
Release date
2025-11-25
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
2025-03
Opus 4.5

Open source & experience

Code license
不开源
Weights license
不开源
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Opus 4.5

Official resources

DataLearnerAI blog
No blog post yet
Opus 4.5

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
Opus 4.5

Benchmark Results

Opus 4.5 currently shows benchmark results led by MMLU Pro (2 / 126, score 90), SWE-bench Verified (8 / 109, score 80.90), Terminal Bench Hard (1 / 13, score 44). 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

10 evaluations
Benchmark / mode
Score
Rank/total
MMLU Pro
Extended
90
2 / 126
GPQA Diamond
Extended
87
40 / 180
ARC-AGI
Extended
80
21 / 65
75.96
11 / 115
55.77
80 / 115
LiveBench
Medium
59.10
72 / 115
58.59
74 / 115
HLE
Extended
30.80
77 / 164
HLE
ExtendedTools
43.20
43 / 164
ARC-AGI-2
Extended
37.60
26 / 59

Coding and Software Engineer

2 evaluations
Benchmark / mode
Score
Rank/total
LiveCodeBench
ExtendedTools
87
12 / 120
SWE-bench Verified
ExtendedTools
80.90
8 / 109

Multimodal Understanding

1 evaluations
Benchmark / mode
Score
Rank/total
MMMU
Extended
80.70
10 / 28

常识推理

1 evaluations
Benchmark / mode
Score
Rank/total
Simple Bench
Extended
62
12 / 63

Agent Level Benchmark

3 evaluations
Benchmark / mode
Score
Rank/total
90.70
21 / 35
τ²-Bench
ExtendedTools
81.99
13 / 40
Terminal Bench Hard
ExtendedTools
44
1 / 13

Math and Reasoning

6 evaluations
Benchmark / mode
Score
Rank/total
AIME 2026
Extended
93.30
6 / 15
FrontierMath
Extended
20.70
17 / 60
4.20
40 / 80
2.10
56 / 80
4.20
40 / 80
4.20
40 / 80

Instruction Following

1 evaluations
Benchmark / mode
Score
Rank/total
IF Bench
ExtendedTools
58
20 / 29

AI Agent - Tool Usage

2 evaluations
Benchmark / mode
Score
Rank/total
MCP-Atlas
HighTools
69.80
14 / 25
Terminal Bench 2.0
ExtendedTools
59.30
20 / 46

Claw-style Agent Evaluation

2 evaluations
Benchmark / mode
Score
Rank/total
Claw Bench
ExtendedTools
91.50
7 / 29
Pinch Bench
ExtendedTools
87.20
8 / 37

Long Context

1 evaluations
Benchmark / mode
Score
Rank/total
LongBench v2
Standard Mode
64.40
1 / 11

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

Opus 4.5

Publisher

Claude Opus 4.5

Model Overview

Claude Opus 4.5 is an AI model published by Anthropic, released on 2025-11-25, for Reasoning model, and 200K context length, under the 不开源 license, with a 93.30 score on AIME 2026.

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code