Large Context Window
Processes up to 200,000 tokens of input in a single request, enabling analysis of lengthy documents, large codebases, and extended conversations.
Anthropic
Claude 4.5 Haiku
Claude 4.5 Haiku is a lightweight text generation model developed by Anthropic, released in October 2025. It is designed to deliver high throughput and low latency while maintaining strong performance on coding and reasoning tasks. The model supports a 200,000-token context window and can generate up to 64,000 tokens in a single response, making it capable of handling long documents and complex multi-turn conversations. It accepts text, images, and PDFs as input and is available through Anthropic's API, AWS Bedrock, and Google Cloud Vertex AI. Claude 4.5 Haiku is built for production applications where speed and cost efficiency are priorities, such as customer support systems, real-time coding assistants, document processing pipelines, and autonomous AI agents. It supports tool calling, reasoning, and multi-step workflow automation, enabling agentic use cases without requiring a heavier model. Its knowledge cutoff is February 2025. Developers looking to build high-volume applications will find it suited to scenarios where response time and per-token cost are key constraints.
Oct 15, 2025
200,000 context
64,000 tokens output
Large Context Window
Extended Output
Coding Performance
Multimodal Input
Tool Calling & Agents
Built-in Reasoning
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Anthropic
Model ID
The routed model identifier exposed by upstream providers.
anthropic/claude-haiku-4.5
Input Context Window
The number of tokens supported by the input context window.
200,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
64,000 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Oct 15, 2025
9 months ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
2025-02-28
API Providers
The providers that offer this model. This is not an exhaustive list.
Vertex AI, Google, Anthropic, Azure, Amazon Bedrock
Modalities
Types of data this model can process.
Text
Image
File
What is Claude 4.5 Haiku
A fuller summary of positioning, capabilities, and source-specific details for Claude 4.5 Haiku.
Claude 4.5 Haiku is a lightweight text generation model developed by Anthropic, released in October 2025. It is designed to deliver high throughput and low latency while maintaining strong performance on coding and reasoning tasks. The model supports a 200,000-token context window and can generate up to 64,000 tokens in a single response, making it capable of handling long documents and complex multi-turn conversations. It accepts text, images, and PDFs as input and is available through Anthropic's API, AWS Bedrock, and Google Cloud Vertex AI.
Claude 4.5 Haiku is built for production applications where speed and cost efficiency are priorities, such as customer support systems, real-time coding assistants, document processing pipelines, and autonomous AI agents. It supports tool calling, reasoning, and multi-step workflow automation, enabling agentic use cases without requiring a heavier model. Its knowledge cutoff is February 2025. Developers looking to build high-volume applications will find it suited to scenarios where response time and per-token cost are key constraints.
Capabilities
What Claude 4.5 Haiku supports
Extended Output
Generates up to 64,000 tokens in a single response, supporting long-form code generation, detailed reports, and multi-step outputs.
Coding Performance
Delivers strong results on coding tasks, producing code generation and debugging outputs comparable to heavier models at lower cost and higher speed.
Multimodal Input
Accepts text, images, and PDFs as input, allowing document analysis and vision-based tasks within the same model.
Tool Calling & Agents
Supports tool calling and multi-step workflow automation, enabling integration into agentic pipelines that require external API calls or sequential reasoning.
Built-in Reasoning
Includes a reasoning mode that allows the model to work through complex problems step by step before producing a final answer.
High Throughput Speed
Optimized for low-latency responses, making it suitable for real-time applications such as live coding assistants and customer support bots.
Pricing for Claude 4.5 Haiku
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$1.00
Per million tokens
Output tokens
$5.00
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
Web search
$10000.00
Cache read
$0.10
Cache write
$1.25
maxTemperature
1
maxResponseSize
64,000 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Vertex AI
Google
Anthropic
Azure
Amazon Bedrock
Provider Endpoints
Endpoint-level provider data currently available for this model.
Anthropic
Azure
Amazon Bedrock
Amazon Bedrock
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
|
|
|
HLE
Questions that challenge frontier models across many domains
|
|
|
LiveCodeBench
Real-world coding tasks from recent competitions
|
|
|
MMLU-Pro
Expert knowledge across 14 academic disciplines
|
|
|
SciCode
Scientific research coding and numerical methods
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Announcement Blog Post
Announcements
→
Official Documentation
Documentation
→
AWS Bedrock Model Card
Documentation
→
Model / Service Card
Research
→
Anthropic API Reference
Documentation
→
Claude on Google Cloud Vertex AI
Documentation
→
About Claude
→
Anthropic Prompt Engineering Resources
→
Official Website
→
Acceptable Use Policy
→
Anthropic Trust Center
→
OpenRouter Model Page
OpenRouter
→
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Community discussion
What people think about Claude 4.5 Haiku
Claude 4.5 Haiku discussions are most active in r/ClaudeCode, r/windsurf, r/perplexity_ai. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 1237 upvotes and 288 comments.
Anthropic just dropped Haiku 4.5 and the numbers are wild:
**Performance:**
* 73.3% on SWE-bench Verified (matches Sonnet 4 from 5 months ago)
* 90% of Sonnet 4.5's agentic coding performance
* 2x faster than Sonnet 4
* 4-5x faster than Sonnet 4.5
**Pricing:**
* $1 input / $5 output per million tokens
* That's 66% cheaper than Sonnet 4 ($3/$15)
* \~10x cheaper than Sonnet 4.5 for 90% of the performance
**Why this matters:**
Multi-agent systems are now economically viable. Before Haiku 4.5:
* 10 agents × $15/million = $150/million (too expensive)
* 10 agents × 10s latency = 100s total (too slow)
With Haiku 4.5:
* 10 agents × $5/million = $50/million (3x cheaper)
* 10 agents × 2s latency = 20s total (5x faster)
**Use cases unlocked:**
* Real-time chat assistants (2s response time)
* Automated code reviews (\~$0.01 per review)
* Pair programming with Claude Code (no latency friction)
* Rapid prototyping (iterate as much as you want)
**Available now:**
* [Claude.ai](http://Claude.ai)
* Claude Code (CLI + extension) - use `/model` command
* API: `model="claude-haiku-4.5-20251015"`
* AWS Bedrock
* Google Cloud Vertex AI
We wrote a deep-dive article (in French, but code examples and benchmarks are universal) with cost analysis, migration guides, and real scenarios: [here](https://cc-france.org/blog/claude-haiku-45-le-modle-qui-redfinit-le-rapport-p)
The barrier between "proof of concept" and "production" just got dramatically lower.
What are you planning to build with it?
Press CTRL+I to invoke Windsurf Command ([documentation)](https://docs.windsurf.com/command/windsurf-overview): this generates code at your cursor, or it edits blocks of text. It never uses any credits.
Also, GPT 5.1 Codex and 5.1 Codex Mini are free in Cascade / chat ([documentation](https://docs.windsurf.com/windsurf/models)).
As you can see in the graph above, while in October, the use of Claude Sonnet 4.5 Thinking was normal, since the 1st of November, Perplexity has deliberately rerouted most if not ALL Sonnet 4.5 and 4.5 Thinking messages to far worse quality models like Gemini 2 Flash and, interestingly, Claude 4.5 Haiku Thinking which are probably cheaper models.
Perplexity is essentially SCAMMING subscribers by marketing their model as "Sonnet 4.5 Thinking" but then having all prompts given by a different model--still a Claude one so we don't realise!
Very scummy.
[https://x.com/elonmusk/status/2042034018724803055](https://x.com/elonmusk/status/2042034018724803055)
\[title has it all\]
FAQ
Common questions about Claude 4.5 Haiku
What is the context window size for Claude 4.5 Haiku?
Claude 4.5 Haiku supports a context window of 200,000 tokens, allowing it to process large documents, long codebases, and extended conversations in a single request.
What is the knowledge cutoff date for Claude 4.5 Haiku?
Claude 4.5 Haiku has a knowledge cutoff of February 2025, meaning it does not have information about events that occurred after that date.
Where can I access Claude 4.5 Haiku via API?
Claude 4.5 Haiku is available through Anthropic's own API, as well as through AWS Bedrock and Google Cloud Vertex AI.
What input types does Claude 4.5 Haiku support?
The model accepts text, images, and PDFs as input, supporting both purely text-based and multimodal use cases.
Does Claude 4.5 Haiku support agentic workflows?
Yes. Claude 4.5 Haiku supports tool calling, reasoning, and multi-step workflow automation, making it compatible with agentic application architectures.
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