Last refreshed 2026-04-19. Next refresh: weekly.
Why use gpt-oss-120b on Replicate API?
Replicate API offers gpt-oss-120b with pay-as-you-go pricing at $0.18/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare gpt-oss-120b across 13 providers to find the best fit for your use caseInput / 1M
$0.18
Output / 1M
$0.72
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"openai/gpt-oss-120b",
input={"prompt": "Hello"}Model ID
openai/gpt-oss-120bRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# openai/gpt-oss-120b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"openai/gpt-oss-120b",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Use provider model ID "openai/gpt-oss-120b", not the LLMReference slug "gpt-oss-120b".
- 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 gpt-oss-120b Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | $0.35 | $0.75 |
| OpenRouter | $0.04 | $0.18 |
| Together AI | $0.15 | $0.60 |
| Fireworks AI | $0.15 | $0.60 |
| GCP Vertex AI | $0.09 | $0.36 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.18 |
| Output tokens | $0.72 |
Capabilities
JSON / Tool useStructured Outputs
About gpt-oss-120b
OpenAI open-weight model with 120 billion parameters. Text-only model supporting reasoning, function calling, and structured outputs. Free for self-hosting. Released August 5, 2025.
Get Started
Model Specs
Released2025-08-05
Parameters120B
Context131k
ArchitectureDecoder Only
Knowledge cutoff2025-08