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Haiku 4.5

Scheduled retirement · 2026-10-15Multimodal modelHaikuClaude 4.5

Claude Haiku 4.5

Release date: 2025-10-15Updated: 2026-09-04Scheduled retirement: 2026-10-15Views: 1,617
Live demoGitHubHugging FaceCompare
Parameters
No data
Context length
200K
Multilingual
Supported
Reasoning ability
4/5

Haiku 4.5 is a multimodal model from Anthropic, released on 2025-10-15. It accepts text and image input and returns text output. The recorded context window is 200K, and the recorded maximum output is 64K. 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

Haiku 4.5

Model basics

Reasoning traces
Supported
Thinking modes
Standard Mode (Default)Thinking Mode
Context length
200K tokens
Max output length
64K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image → Text
Release date
2025-10-15
Model file size
No data
MoE architecture
No
Total params / Active params
No data / Not applicable
Knowledge cutoff
No data
Haiku 4.5

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
N/A
Hugging Face
N/A
Live demo
Haiku 4.5

Official resources

Paper
DataLearnerAI blog
Haiku 4.5

API details

API speed
5/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-$1.00/ 1M$5.00/ 1M
Image-$1.00/ 1M
Batch
TypeConditionInputOutput
Text-$0.500/ 1M$2.50/ 1M
Image-$0.500/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text-$1.25/ 1M$0.100/ 1M
Text-$1.25/ 1M
Cache = write
Text-$0.100/ 1M
Cache = hit
Image-$1.25/ 1M
Cache = write
Image-$0.100/ 1M
Cache = hit

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

Haiku 4.5

Benchmark Results

Haiku 4.5 currently shows benchmark results led by AIME2025 (20 / 107, score 96.30), Terminal-Bench (11 / 35, score 41), Claw Bench (11 / 29, score 89.40). 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
Internet

General Knowledge

10 evaluations
Benchmark / mode
Score
Rank/total
MMLU Pro
Standard Mode
76
82 / 134
MMLU Pro
Extended
80
64 / 134
LiveBench
Standard Mode
45.33
105 / 117
61.32
66 / 117
ARC-AGI-1
Standard Mode
14.30
83 / 92
ARC-AGI-1
Extended
47.70
70 / 92
HLE
Standard Mode
4.30
195 / 197
HLE
Extended
9.70
172 / 197
ARC-AGI-2
Standard Mode
1.30
78 / 85
ARC-AGI-2
Extended
4.50
73 / 85

General Evaluation

2 evaluations
Benchmark / mode
Score
Rank/total
GPQA Diamond
Standard Mode
60.50
227 / 274
GPQA Diamond
Extended
73.30
182 / 274

Coding and Software Engineer

5 evaluations
Benchmark / mode
Score
Rank/total
SWE-bench Verified
Standard ModeTools
60.60
82 / 116
73.30
49 / 116
LiveCodeBench
Standard Mode
51
98 / 128
62
73 / 128
39.45
58 / 62

Math and Reasoning

5 evaluations
Benchmark / mode
Score
Rank/total
AIME2025
Standard Mode
39
95 / 107
80.70
58 / 107
AIME2025
128KTools
96.30
20 / 107
FrontierMath
Standard Mode
4.10
41 / 60
2.10
56 / 80

AI Agent - Tool Usage

3 evaluations
Benchmark / mode
Score
Rank/total
Terminal-Bench
Standard ModeTools
26
26 / 35
41
11 / 35
MCP-Atlas
Standard ModeTools
40.20
41 / 41

Multimodal Understanding

1 evaluations
Benchmark / mode
Score
Rank/total
MMMU
128K
73.20
19 / 28

Agent Level Benchmark

1 evaluations
Benchmark / mode
Score
Rank/total
τ²-Bench
Standard ModeTools
33
43 / 44

Instruction Following

1 evaluations
Benchmark / mode
Score
Rank/total
IF Bench
Extended
54.30
32 / 36

Text Embedding

2 evaluations
Benchmark / mode
Score
Rank/total
Context Arena
Standard Mode
17.68
124 / 126
Context Arena
Thinking Mode
36.27
103 / 126

Claw-style Agent Evaluation

2 evaluations
Benchmark / mode
Score
Rank/total
Claw Bench
Thinking ModeTools
89.40
11 / 29
Pinch Bench
Thinking ModeTools
82
22 / 38

Productivity Knowledge

2 evaluations
Benchmark / mode
Score
Rank/total
AA-Briefcase
Thinking ModeTools
614.41
19 / 20
AA-AnalystAgent
Thinking ModeToolsInternet
15
9 / 12

Compare with other models

Haiku 4.5

Publisher

Claude Haiku 4.5

Model Overview

Haiku 4.5 is a multimodal model from Anthropic, released on 2025-10-15.

It accepts text and image input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The recorded context window is 200K, and the recorded maximum output is 64K.

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 30 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.

Haiku 4.5

FAQ

What is Haiku 4.5?

Haiku 4.5 is a multimodal model from Anthropic, released on 2025-10-15. It accepts text and image input and returns text output. The recorded context window is 200K, and the recorded maximum output is 64K. 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 Haiku 4.5 support?

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

What are the main recorded specifications for Haiku 4.5?

The recorded context window is 200K, and the recorded maximum output is 64K. Fields without a source-backed value remain undisclosed.

Does Haiku 4.5 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 Haiku 4.5?

The evaluation section contains 30 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Haiku 4.5 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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