Anthropic's fast tier. Sub-second TTFT, vision, tool use, prompt caching. 200K context.
Modalities
Text+Image → Text
Below release
Not established
Weights
Not published
Where it sits in the catalogue Kyma measures
Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.
$1.35
output $6.75 · cached $0.135
median $1.013 · best $0.0494
$6.75
per 1M tokens generated
median $3.531 · best $0.218
99.11%
674 observations since 2026-05-02
median 100.0% · best 100.0%
34 tok/s
probe median, one fixed prompt
median 35.7 tok/s · best 365.1 tok/s
1.75 s
probe median, to a complete answer
median 2.96 s · best 0.89 s
200K
max output 64,000
published by Anthropic, not measured here
Tick above each rail is this model, below it the other 70. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.
Usage
How much this model is actually called here.
Rank
#46
of 101 active models
Tokens served
1.6M
all-time
Platform share
0.0%
of all tokens
How it behaves under real clients
The same model answering different prompt shapes — measured, not benchmarked.
| Client | Requests | Tokens | Throughput | To first token | p95 total | Completed |
|---|---|---|---|---|---|---|
| Node.js App | 523 | 658.6K | 127 tok/s | 5.33 s | 8.65 s | 100% |
| Lua/OpenResty | 105 | 575.5K | 61 tok/s | 5.57 s | 6.64 s | 97.1% |
Grouped by the client that sent the request. Not a benchmark: the same model on different prompt shapes. Throughput and time-to-first-token are medians; p95 is the slowest response in twenty. 1 client under 100 requests not shown.
Two clocks, and why they disagree
Kyma measures this model twice. Both are real; they answer different questions.
Probe · every 6h · 30 days
1.75s to answer
One fixed prompt, on a schedule, to every model. Comparable, because the model is the only thing that changes.
- Observations
- 674
- Answered by a substitute
- 6
Real traffic · last 7 days
4.16s to answer
Your requests, at the lengths clients actually send. Not comparable between models, but it is what running this one feels like.
- Requests
- 54
- Completed
- 61.1%
- p95
- 15.8 s
Caching, as realised · last 7 days
0.0% of input cached
The share of input that actually hit cache, so the effective rate below is what was charged, not a best case.
- Cached input
- 0
- Fresh input
- 112.8K
- List input
- $1.35 /1M
- Effective input
- $1.35 /1M
The gap is prompt length, not the model degrading. Use the probe figure to choose between models, the traffic figure to budget for your own.
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$160
$5.35 / day on Claude Haiku 4.5
Same workload on:
Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.
How it compares
Against the peers people actually weigh it against.
| Spec | Claude Haiku 4.5 | Claude Fable 5.1 | Claude Fable 5 |
|---|---|---|---|
| Input /1M | $1.35 | $13.50 | $13.50 |
| Output /1M | $6.75 | $67.50 | $67.50 |
| Context | 200K | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Throughput | 34 tok/s | 14 tok/s | 15 tok/s |
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard. Claude Haiku 4.5 needs a top-up — the signup credit covers the free tier.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "claude-haiku-4-5", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "claude-haiku-4-5", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
What is the context window of Claude Haiku 4.5?
How much does the Claude Haiku 4.5 API cost?
Does Claude Haiku 4.5 support function calling?
Are the weights for Claude Haiku 4.5 publicly available?
Is Claude Haiku 4.5 ever served below the precision its creator released it at?
How do I use Claude Haiku 4.5?
More models by Anthropic
| Model | Context | Input | Output |
|---|---|---|---|
| 1M | $13.50 | $67.50 | |
| 1M | $6.75 | $33.75 | |
| 1M | $2.70 | $13.50 | |
| 1M | $13.50 | $67.50 | |
| 1M | $6.75 | $33.75 | |
| 1M | $4.05 | $20.25 |