tokevenClaude · Fast / Budget · 200K context window
Claude Haiku 4.5 pricing for document summarization
$0.0150 per call at 10,000 input / 1,000 output tokens.
Per call
$0.0150
10K calls/mo
$150
Cache savings
90% off input
Batch savings
50% off all
Calculate your Claude Haiku 4.5 costs
Adjust token counts, volume, and discount toggles to model your document summarization spend. Prices verified daily against provider pricing pages.
Configure your usage
Estimated cost
Quick start
Call Claude Haiku 4.5 with the Anthropic Python SDK:
from anthropic import Anthropic
client = Anthropic()
response = client.messages.create(
model="claude-haiku-4-5",
max_tokens=1000,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0150 per call at standard rates
# Input: $1.00/MTok
# Output: $5.00/MTokHow Claude Haiku 4.5 compares on cost
Per-call cost for all models scoring 50+ on document summarization benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.003200/call (79% less, 84/100 quality).
What drives document summarization cost
The archetypal input-heavy task: the entire source document goes in, a short summary comes back. Cost is almost entirely a function of document length, and the output rate barely registers. Long documents can cross a provider's long-context threshold, where the whole request is re-priced at a multiple. Check the threshold before feeding in a hundred-page PDF as one call.
For Claude Haiku 4.5 specifically, that means output tokens cost 5.0x more than input, at $5.00 vs $1.00 per MTok. At this use case’s 10,000/1,000 token split, output accounts for 33% of the $0.0150 per-call cost.
Complete Claude Haiku 4.5 pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $1.00 | 10,000 |
| Output | $5.00 | 1,000 |
Prompt caching: 90% off input tokens
Caching drops input cost from $1.00 to $0.10/MTok. For repeated system prompts, that saves $0.009000 per call.
Batch API: 50% off all tokens
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
Monthly cost projections
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.0150 | $150 | $60 | $90 |
| 50,000 calls | $0.0150 | $750 | $300 | $450 |
| 100,000 calls | $0.0150 | $1,500 | $600 | $900 |
| 500,000 calls | $0.0150 | $7,500 | $3,000 | $4,500 |
| 1,000,000 calls | $0.0150 | $15,000 | $6,000 | $9,000 |
Claude Haiku 4.5 quality benchmarks for document summarization
Claude Haiku 4.5 is a solid pick for document summarization
Scores 82/100 (rank #5 of 20). Good balance of quality and cost for document summarization.
Top-ranked: GPT 5.6 Terra (92/100) at $0.0320/call
Performance across all task types
Claude Haiku 4.5 scores by task type. Document Summarization highlighted.
| Task type | Confidence score | Rank out of 20 |
|---|---|---|
| Classification | 90/100 | #2 |
| Extraction | 88/100 | #2 |
| Q&A | 86/100 | #4 |
| Summarization(current page) | 82/100 | #5 |
| Code Generation | 72/100 | #6 |
| Code Review | 70/100 | #7 |
| Reasoning | 65/100 | #7 |
| Creative Writing | 60/100 | #7 |
Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
Alternative models for document summarization
12 models score 80+ on document summarization benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (79% less, 84/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Claude |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 84/100 | $0.003200 | 79% cheaper |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 83/100 | $0.008000 | 47% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 85/100 | $0.0240 | 60% more |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 91/100 | $0.0300 | 100% more |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 92/100 | $0.0320 | 113% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0320 | 113% more |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0400 | 167% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 90/100 | $0.0450 | 200% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 90/100 | $0.0600 | 300% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 88/100 | $0.0750 | 400% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 89/100 | $0.0800 | 433% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 90/100 | $0.1500 | 900% more |
About Claude Haiku 4.5
Provider
Claude
Tier
Fast / Budget
Context
200K tokens
Released
Oct 2025
Other models from Claude
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Claude Opus 4.8 | Flagship | $5.00 | $25.00 | 200K |
| Claude Sonnet 4.6 | Mid-tier | $3.00 | $15.00 | 200K |
| Claude Sonnet 5 | Mid-tier | $2.00 | $10.00 | 200K |
| Claude Opus 5 | Flagship | $5.00 | $25.00 | 1,000K |
| Claude Fable 5.1 | Flagship | $10.00 | $50.00 | 1,000K |
| Claude Fable 5 | Flagship | $10.00 | $50.00 | 1,000K |
You can compare Claude Haiku 4.5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.
Claude Haiku 4.5 pricing for other use cases
See how Claude Haiku 4.5 costs change across different workload types.
Code Generation
$0.0220/call
Unit Test Generation
$0.0280/call
SQL Generation
$0.006500/call
API Generation
$0.0330/call
Code Refactoring
$0.0240/call
Code Review
$0.0150/call
PR Review
$0.0230/call
Security Review
$0.0185/call
Bug Detection
$0.0150/call
PDF Summarization
$0.0225/call
Meeting Notes
$0.0180/call
Email Summarization
$0.005500/call
Chatbot
$0.007000/call
RAG Pipeline
$0.0135/call
Customer Support Bot
$0.008000/call
FAQ Bot
$0.005500/call
Data Extraction
$0.009000/call
JSON Extraction
$0.007000/call
Invoice Parsing
$0.005000/call
Resume Parsing
$0.006500/call
Chain of Thought
$0.0280/call
Legal Analysis
$0.0300/call
Math Reasoning
$0.0165/call
Financial Analysis
$0.0280/call
Content Moderation
$0.001000/call
Sentiment Analysis
$0.001000/call
Categorization
$0.001550/call
Intent Detection
$0.000800/call
Copywriting
$0.0105/call
Blog Writing
$0.0410/call
Marketing Copy
$0.0158/call
Product Descriptions
$0.008000/call
Related pages
Frequently asked questions
How much does Claude Haiku 4.5 cost for document summarization per API call?
A typical document summarization call using Claude Haiku 4.5 costs about $0.0150 per call. This estimate uses 10,000 input tokens and 1,000 output tokens at standard rates. Standard rates are $1.00 per million input tokens and $5.00 per million output tokens.
Is Claude Haiku 4.5 the best model for document summarization?
Claude Haiku 4.5 scores 82 out of 100 on document summarization benchmarks overall. It ranks #5 across all 20 models in our cross-provider registry. The highest-ranked model for this task is GPT 5.6 Terra from GPT. That model scores 92/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
What is the cheapest model for document summarization with good quality?
The most affordable model for document summarization above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 84/100. Switching from Claude Haiku 4.5 to GPT 5.6 Luna saves about 79% per API call.
How can I reduce my Claude Haiku 4.5 costs for document summarization?
Three strategies lower Claude Haiku 4.5 costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.0150 to about $0.000750 per call.
How does Claude Haiku 4.5 pricing compare to other Claude models?
Claude has 6 other models alongside Claude Haiku 4.5 today: Claude Opus 4.8 at $5.00/$25.00 per million tokens (flagship), Claude Sonnet 4.6 at $3.00/$15.00 per million tokens (mid-tier), Claude Sonnet 5 at $2.00/$10.00 per million tokens (mid-tier), Claude Opus 5 at $5.00/$25.00 per million tokens (flagship), Claude Fable 5.1 at $10.00/$50.00 per million tokens (flagship), Claude Fable 5 at $10.00/$50.00 per million tokens (flagship). The right choice depends on whether your document summarization workload prioritizes quality, cost, or speed.
What context window does Claude Haiku 4.5 support?
Claude Haiku 4.5 supports a context window of 200K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For document summarization, typical calls use 10,000 input and 1,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
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