Claude Haiku 5.5
$0.10 per 1M input tokens and $0.50 per 1M output tokens · 1M context · vision, tools, reasoning, JSON.
Prices checked Oct 21, 2026 · tracked by LLM Cost Index since Oct 21, 2026
Cheaper ways to run the same model: Claude Haiku 5.5 (batch) at $0.05 / $0.25 — same model, different service (e.g. batch processing with a delay).
What Claude Haiku 5.5 costs per month
Estimated monthly bill for typical workloads, using the cached-input price for repeated context. Try your own numbers in the cost calculator.
| Workload | Per month |
|---|---|
| Customer chatbot 1,000 conversations a day, 8 turns each | $58.56 |
| Document Q&A (RAG) 500 questions a day over retrieved documents | $11.94 |
| Coding / tool-using agent 200 tasks a day, long tool-heavy contexts | $23.70 |
| Content generation 30 long articles a day | $1.40 |
| Classification / extraction 100,000 short items a day | $112 |
Prompts above 100K tokens are billed at $0.50 input / $2.50 output per 1M.
Price history
We started tracking Claude Haiku 5.5 on Oct 21, 2026; the chart appears as soon as there is a second data point. See all recent price changes.
Where to run Claude Haiku 5.5: 10 providers
Amazon Bedrock is the cheapest at $0.10 input / $0.50 output per 1M tokens. Uptime is the average over the last 30 days as reported by OpenRouter; see provider reliability.
| Provider | Input / 1M | Output / 1M | Context | Uptime | Notes |
|---|---|---|---|---|---|
| Amazon Bedrock | $0.10 | $0.50 | 1M | 100% | — |
| Anthropic | $0.10 | $0.50 | 1M | 100% | — |
| Azure | $0.10 | $0.50 | 1M | 100% | — |
| Claude Platform on AWS | $0.10 | $0.50 | 1M | 100% | — |
| $0.10 | $0.50 | 1M | 100% | — | |
| Amazon Bedrock | $0.11 | $0.55 | 1M | 100% | — |
| Amazon Bedrock | $0.11 | $0.55 | 1M | 100% | — |
| Azure | $0.11 | $0.55 | 1M | 100% | — |
| $0.11 | $0.55 | 1M | 100% | — | |
| $0.11 | $0.55 | 1M | 100% | — |
Cheaper alternatives to Claude Haiku 5.5
Models with the same tool calling, image input, structured output for at least 20% less (3:1 input/output mix), most capable first.
| Model | Input / 1M | Output / 1M | Context | Capabilities |
|---|---|---|---|---|
| GLM 5.3 Flash Z.ai | $0.041 | $0.12 | 1.05M | visiontoolsreasoningJSONopen weights |
| DeepSeek V4.1 Flash DeepSeek | $0.049 | $0.375 | 1.05M | visiontoolsreasoningJSONopen weights |
| Ling 3.0 Flash VL inclusionAI | $0.06 | $0.18 | 131K | visiontoolsreasoningJSONopen weights |
| MiMo-V2.5 Xiaomi | $0.119 | $0.238 | 1.05M | visionaudiotoolsreasoningJSONopen weights |
| Gemma 4 26B A4B | $0.09 | $0.30 | 262K | visiontoolsreasoningJSONopen weights |
How to pay less for Claude Haiku 5.5
For a customer chatbot (1,000 conversations a day, 8 turns each) that costs $78.00 a month at list price without caching:
| Option | Per month | You save |
|---|---|---|
| Move to GLM 5.3 Flash (similar capabilities) | $16.82 | $61.18 (78%) |
| Switch to Claude Haiku 5.5 (batch) | $39.00 | $39.00 (50%) |
| Use prompt caching (60% of input cached) | $58.56 | $19.44 (25%) |
Other workloads: cut-your-bill tool for Claude Haiku 5.5.
Specifications
| Model ID | anthropic/claude-haiku-5.5 |
| Input | text, image, file |
| Output | text |
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning mode | Yes |
| Open weights | No |
| Released | Oct 7, 2026 |
| Web search | $0.01 per request |
FAQ
- How much does Claude Haiku 5.5 cost?
- $0.10 per million input tokens and $0.50 per million output tokens; cached input costs $0.01 per million. Prompts over 100K tokens are billed at $0.50 / $2.50. Prices as of Oct 21, 2026.
- What is the context window of Claude Haiku 5.5?
- 1M tokens, with up to 128K output tokens per response.
- Does Claude Haiku 5.5 support images, tools and structured output?
- Images as input: yes. Tool calling: yes. Structured (JSON) output: yes. Reasoning mode: yes.
- What are cheaper alternatives to Claude Haiku 5.5?
- Models with the same key capabilities for at least 20% less include GLM 5.3 Flash ($0.041 / $0.12), DeepSeek V4.1 Flash ($0.049 / $0.375), Ling 3.0 Flash VL ($0.06 / $0.18).
More from Anthropic: all Anthropic models · how we collect prices