Anthropic
Claude Sonnet 5.5
claude-sonnet-5.5
Total Context
1M
Max Output
128K
Released
N/A
Input$2 / M tokens
Output$10 / M tokens
Claude Haiku 5.5
claude-haiku-5.5Claude Haiku 5.5 is Anthropic’s fast, efficient model for high-volume applications where responsiveness and cost matter. It is designed for summarization, classification, information extraction, request routing, and live customer support, making it well suited to everyday automation and interactive assistants. With a 1-million-token context window and adaptive thinking, Haiku 5.5 combines large-context processing with adjustable reasoning depth. It also works well as a specialized subagent, handling focused research, document lookups, and supporting coding tasks within larger workflows. Choose Haiku 5.5 for narrowly scoped work that needs to run quickly and economically at scale.
Context Window
1M tokens
Maximum Output
128K tokens
Release Date
Oct 7, 2026
Modalities
Claude Haiku 5.5 Pricing
| Token Tier | Input Price | Output Price | Cache Read | Cache Create 5m |
|---|---|---|---|---|
| <=100K | $0.1/M | $0.5/M | $0.01/M | $0.125/M |
| >100K | $0.5/M | $2.5/M | $0.05/M | $0.625/M |
Claude Haiku 5.5 API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Not supported
Attachments
Supported
Knowledge Base
2026-06-01
Endpoint Protocols
Completions APIResponses APIMessages API
Model Highlights
Verified strengths and model characteristics.
High-Volume Efficiency
Designed for frequent, latency-sensitive tasks, with lower pricing than Claude Haiku 4.5 and stronger coding and knowledge-work performance.
Adaptive Reasoning
The first Haiku generation with adjustable effort lets developers balance reasoning depth and computational cost per task.
Extended Document Context
A 1M-token context window accepts text and images, with up to 128K output tokens in standard requests.
Use Cases
Practical workloads supported by official examples.
Classification And Extraction
Classify incoming records, extract relevant fields, and route requests to the appropriate workflow.
Summarization And Compaction
Summarize documents and condense agent histories into concise context for subsequent work.
Scoped Coding Subagents
Delegate focused coding or document-reading subtasks while a larger model coordinates the overall project.
How to Use Claude Haiku 5.5 via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Claude Haiku 5.5 Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 37.8 |
Metrics sourced from Artificial Analysis
Claude Haiku 5.5 Guides & Articles
FAQs
Model selection, limitations, and access.
What Is Claude Haiku 5.5?+
Anthropic’s small model targets high-volume, latency-sensitive work, combining adaptive reasoning with text and image understanding.
When Should I Choose Claude Haiku 5.5?+
Choose it for classification, extraction, summaries, live support, and narrow subagent tasks where response time and repeated-call cost matter.
What Are Its Main Tradeoffs?+
Anthropic recommends larger models for complex agentic coding. Higher effort can increase cost and latency; prompts above 100K tokens also enter a higher pricing tier.
How Do I Use Claude Haiku 5.5 Through TokenHub?+
Use the identifier and endpoint documented by TokenHub after confirming access. Anthropic’s direct API ID is claude-haiku-5-5; do not assume it matches a TokenHub alias.
How Is Claude Haiku 5.5 Priced?+
Anthropic lists $0.10 input/$0.50 output per million tokens for prompts up to 100K tokens, and $0.50/$2.50 above that threshold. TokenHub rates may differ.
Ready to use Claude Haiku 5.5?
Use one API key to access Claude Haiku 5.5 and more AI models through TokenHub.
Claude Haiku 5.5 Media and Demos
Verified public announcements, demonstrations, and community discussions.
X (Twitter)
Claude Haiku 5.5: Official Launch
Claude ·
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV
https://pbs.twimg.com/media/HUC-jfVW8AAz_Ic.jpgView originalClaude Haiku 5.5: Workloads And Subagents
Claude ·
Haiku 5.5 is designed for high-volume, cost-sensitive tasks. It reliably handles repetitive work like summaries and classification, and pairs well with Claude Opus 5.5 and Sonnet 5.5 as a subagent on coding work. It’s also fast enough for live customer support and browser use.
View originalClaude Haiku 5.5: Adjustable Reasoning Effort
Claude ·
Haiku 5.5 is our first Haiku model with an adjustable effort setting, so you can decide whether to optimize for cost or intelligence on each task. https://t.co/r98hSNIUIj
https://pbs.twimg.com/media/HUC7HfJWgAAqA_T.pnghttps://pbs.twimg.com/media/HUC7Hj5WoAA1-EM.pnghttps://pbs.twimg.com/media/HUC7HjLXYAAIwaH.pngView originalReddit
Claude Haiku 5.5: Official Reddit Announcement
Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released
ClaudeOfficial ·
View originalClaude Haiku 5.5: Community Coding Experiment
Is Haiku 5.5 good enough to be your main coding agent, not just the cheap one? I ran a small controlled test
Escobar747 ·
Read full post
I tested Claude Haiku 5.5 at low, medium and high effort against Sonnet 5.5 (medium), GPT-6 Luna (high) and GPT-6.1 Sol (medium). The tasks came from a real mid-sized, mixed-language codebase (Rust core plus a legacy scripting layer). The tasks: two Rust bug fixes from vague bug reports a code review with 9 planted bugs and 2 decoys two Rust implementations from tricky specs a "judgement" task, where the bug report blamed the wrong thing and asked for a fix that would make it worse, and one requirement was deliberately ambiguous an agentic task in the real repo: move some logic across a language boundary following the repo's unwritten conventions I wrote the answer keys and hidden tests before any model ran. The surprise: on the well-specified tasks every model scored 100%. Haiku-low missed one compile error in the review, and Luna asserted its own reading of the ambiguous requirement where the others flagged it, but that was it. Self-contained coding tasks just don't separate current models any more. The agentic task is where they separated. Haiku at medium did as well as Sonnet: correct code, all tests passing, the repo conventions followed, an honest note on what it couldn't verify, and it raised a real design trade-off on its own. It made 29 API requests and cost about $0.08, against Sonnet's 30 requests and about $1.68 at list prices. The other effort levels did worse: Low got working code, but skipped verification, missed an error-handling fallback, and invented a reason for not testing ("the build stalled for over an hour" in a run that took 15 minutes). High was correct, but burned 385 requests and about $1.03 for no quality gain. My takeaway: Haiku 5.5 at medium is viable as a general daily coding agent, not only for low-stakes work, at roughly a twentieth of Sonnet's cost. Avoid low effort for agent work, high effort buys nothing, and I'd still use a bigger model for high-stakes release work.
Claude Haiku 5.5: Community Impressions
Haiku 5.5 megathread!
Outrageous-Exam9084 ·
Chat about the new baby. Thoughts, reviews, complaints and compliments here for the next 7 days please. 😊
View originalYouTube
Claude Haiku 5.5: Model Review
Claude Haiku 5.5 Is INSANE – This IS the BEST Cheap Model Yet!
Bijan Bowen
View originalClaude Haiku 5.5: Performance And Pricing Review
Claude Haiku 5.5 Is a GAME CHANGER! 90% CHEAPER & INSANE Performance! (Fully Tested)
WorldofAI
View originalClaude Haiku 5.5: Strengths And Limitations
Claude Haiku 5.5 Is Here But There's ONE BIG Problem!
Universe of AI
View original