Last refreshed 2026-07-26. Next refresh: weekly.
Why use Claude 3 Haiku on Replicate API?
Replicate API offers Claude 3 Haiku with pay-as-you-go pricing at $0.25/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare Claude 3 Haiku across 7 providers to find the best fit for your use caseInput / 1M
$0.25
Output / 1M
$1.25
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"claude-3-haiku",
input={"prompt": "Hello"}Model ID
claude-3-haikuRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# claude-3-haiku format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"claude-3-haiku",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
- The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.
Compare Claude 3 Haiku Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $0.25 | $1.25 |
| GCP Vertex AI | $0.25 | $1.25 |
| Salesforce Einstein Generative AI | — | — |
| Anthropic | $0.25 | $1.25 |
| OpenRouter | $0.25 | $1.25 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.25 |
| Output tokens | $1.25 |
Capabilities
VisionMultimodalReasoningStructured OutputsCode Execution
About Claude 3 Haiku
Claude 3 Haiku is Anthropic's Claude 3 model with multimodal text and image input and an optional reasoning mode. It is deprecated (originally released 2024-03-04); use it only for reproducing earlier results or evaluating drift over time.
Get Started
Model Specs
Released2024-03-04
Parameters20B
Context200k
ArchitectureDecoder Only
Knowledge cutoff2023-08