Last refreshed 2026-04-15. Next refresh: weekly.
Why use Phi-3 Mini 4k on Replicate API?
Replicate API offers Phi-3 Mini 4k with pay-as-you-go pricing at $0.05/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare Phi-3 Mini 4k across 4 providers to find the best fit for your use caseSetup recipe
Python + curlpip install replicateexport REPLICATE_API_TOKEN=...import replicate
output = replicate.run(
"phi-3-mini-4k",
input={"prompt": "Hello"}phi-3-mini-4kRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# phi-3-mini-4k format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"phi-3-mini-4k",
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 Phi-3 Mini 4k Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Microsoft Foundry | $0.28 | $0.84 |
| NVIDIA NIM | — | — |
| Baseten API | — | — |
| Replicate API | $0.05 | $0.25 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.05 |
| Output tokens | $0.25 |
Capabilities
No model capability flags are currently sourced.
About Phi-3 Mini 4k
The Phi-3 Mini-4K-Instruct model by Microsoft is an advanced, lightweight language model boasting 3.8 billion parameters, optimized for environments with limited computational resources. It excels in various natural language processing tasks, especially in reasoning, text generation, and maintaining multi-turn conversations. Trained on a mix of synthetic and high-quality data, the model is tailored for effective instruction-following. Despite its capabilities, it has limitations in factual knowledge and multilingual support, often requiring external resources to enhance accuracy. The model is ideal for commercial and research applications that demand efficient processing, such as mobile apps and real-time systems.
FAQ
What does Phi-3 Mini 4k cost on Replicate API?
On Replicate API, Phi-3 Mini 4k costs $0.05 per 1M input tokens and $0.25 per 1M output tokens.
What is the context window for Phi-3 Mini 4k on Replicate API?
Phi-3 Mini 4k supports a 4,000 token context window on Replicate API.
How does Replicate API compare to other Phi-3 Mini 4k providers?
Phi-3 Mini 4k is available from 4 providers. The cheapest input pricing is $0.05/1M tokens from Replicate API.
Who created Phi-3 Mini 4k?
Phi-3 Mini 4k was created by Microsoft Research as part of the Phi-3 model family.
Is Phi-3 Mini 4k open source?
Phi-3 Mini 4k is open source according to the seed data.