Last refreshed 2026-09-22. Next refresh: weekly.
Why use Granite 3.3 8B Instruct on Replicate API?
Replicate API offers Granite 3.3 8B Instruct with pay-as-you-go pricing at $0.03/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare Granite 3.3 8B Instruct across 2 providers to find the best fit for your use caseInput / 1M
$0.030
Output / 1M
$0.25
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"ibm-granite/granite-3.3-8b-instruct",
input={"prompt": "Hello"}Model ID
ibm-granite/granite-3.3-8b-instructRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# ibm-granite/granite-3.3-8b-instruct format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"ibm-granite/granite-3.3-8b-instruct",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Use provider model ID "ibm-granite/granite-3.3-8b-instruct", not the LLMReference slug "granite-3.3-8b-instruct".
- 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 Granite 3.3 8B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| NVIDIA NIM | — | — |
| Replicate API | $0.03 | $0.25 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.03 |
| Output tokens | $0.25 |
Capabilities
JSON / Tool use
About Granite 3.3 8B Instruct
IBM Granite 3.3 8B with improved reasoning capabilities. Part of IBM's enterprise-focused Granite model family optimized for instruction following.
Get Started
Model Specs
Released2025-03-01
Parameters8B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2024-04