OpenAI: gpt-oss-120b
3 providers live- 3 live providers
- 100% uptime
- 0.23 s first token
- 481 tok/s output
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.
- Context
- 128K
- tokens
- Max output
- 32K
- tokens
- Input
- $0.05
- per million tokens
- Output
- $0.25
- per million tokens
Providers
Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.BenchmarksPrice history
Input price since Oct 21, 2026, in USD per million tokens.
- Novita
- Scaleway
Data table
| Provider | From | Input | Output |
|---|---|---|---|
| Novita | Oct 21, 2026 | $0.05 | $0.25 |
| Scaleway | Oct 21, 2026 | $0.1733 | $0.6931 |
| Scaleway | Oct 22, 2026 | $0.1736 | $0.6943 |
| Scaleway | Oct 22, 2026 | $0.1732 | $0.6925 |
| Scaleway | Oct 23, 2026 | $0.173 | $0.6918 |
| Scaleway | Oct 26, 2026 | $0.1729 | $0.6915 |
Performance
Last 24 hours, from llm.buzz's test requestsThroughput (tok/s)
- llm.buzz481 tok/s
- Novita278 tok/s
- Scaleway134 tok/s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| llm.buzz | Oct 26, 07:00 | 481 tok/s | 481 tok/s | 481 tok/s |
| llm.buzz | Oct 26, 12:00 | 54 tok/s | 54 tok/s | 54 tok/s |
| llm.buzz | Oct 26, 21:00 | 334 tok/s | 334 tok/s | 334 tok/s |
| llm.buzz | Oct 27, 01:00 | 481 tok/s | 481 tok/s | 481 tok/s |
| llm.buzz | Last 24 hours | 481 tok/s | 54 tok/s | 54 tok/s |
| Novita | Oct 26, 07:00 | 278 tok/s | 278 tok/s | 278 tok/s |
| Novita | Oct 26, 11:00 | 278 tok/s | 278 tok/s | 278 tok/s |
| Novita | Oct 26, 15:00 | 278 tok/s | 278 tok/s | 278 tok/s |
| Novita | Oct 26, 20:00 | 278 tok/s | 278 tok/s | 278 tok/s |
| Novita | Oct 27, 01:00 | 232 tok/s | 232 tok/s | 232 tok/s |
| Novita | Last 24 hours | 278 tok/s | 232 tok/s | 232 tok/s |
| Scaleway | Oct 26, 07:00 | 112 tok/s | 112 tok/s | 112 tok/s |
| Scaleway | Oct 26, 11:00 | 54 tok/s | 54 tok/s | 54 tok/s |
| Scaleway | Oct 26, 15:00 | 78 tok/s | 78 tok/s | 78 tok/s |
| Scaleway | Oct 26, 19:00 | 134 tok/s | 134 tok/s | 134 tok/s |
| Scaleway | Oct 27, 00:00 | 161 tok/s | 161 tok/s | 161 tok/s |
| Scaleway | Oct 27, 04:00 | 193 tok/s | 193 tok/s | 193 tok/s |
| Scaleway | Last 24 hours | 134 tok/s | 54 tok/s | 54 tok/s |
Latency (time to first token)
- llm.buzz5.14 s
- Novita0.58 s
- Scaleway0.23 s
Data table
| Provider | From (UTC) | p50 | p90 | p99 |
|---|---|---|---|---|
| llm.buzz | Oct 26, 07:00 | 2.07 s | 2.07 s | 2.07 s |
| llm.buzz | Oct 26, 12:00 | 31.8 s | 31.8 s | 31.8 s |
| llm.buzz | Oct 26, 16:00 | 55.0 s | 55.0 s | 55.0 s |
| llm.buzz | Oct 26, 21:00 | 5.14 s | 5.14 s | 5.14 s |
| llm.buzz | Oct 27, 01:00 | 2.98 s | 2.98 s | 2.98 s |
| llm.buzz | Last 24 hours | 5.14 s | 55.0 s | 55.0 s |
| Novita | Oct 26, 07:00 | 0.58 s | 0.58 s | 0.58 s |
| Novita | Oct 26, 11:00 | 0.58 s | 0.58 s | 0.58 s |
| Novita | Oct 26, 15:00 | 0.58 s | 0.58 s | 0.58 s |
| Novita | Oct 26, 20:00 | 0.58 s | 0.58 s | 0.58 s |
| Novita | Oct 27, 01:00 | 0.48 s | 0.48 s | 0.48 s |
| Novita | Last 24 hours | 0.58 s | 0.58 s | 0.58 s |
| Scaleway | Oct 26, 07:00 | 0.23 s | 0.23 s | 0.23 s |
| Scaleway | Oct 26, 11:00 | 1.72 s | 1.72 s | 1.72 s |
| Scaleway | Oct 26, 15:00 | 1.20 s | 1.20 s | 1.20 s |
| Scaleway | Oct 26, 19:00 | 0.19 s | 0.19 s | 0.19 s |
| Scaleway | Oct 27, 00:00 | 0.23 s | 0.23 s | 0.23 s |
| Scaleway | Oct 27, 04:00 | 0.19 s | 0.19 s | 0.19 s |
| Scaleway | Last 24 hours | 0.23 s | 1.72 s | 1.72 s |
Uptime
Last 72 hours, by hour- Up: 95% or more served
- Degraded: 85% to 95%
- Down: below 85%
- No data
- From llm.buzz's test requests
Questions
How much does OpenAI: gpt-oss-120b cost?
OpenAI: gpt-oss-120b costs $0.05 per million input tokens and $0.25 per million output tokens at llm.buzz, the provider requests go to first. Each provider sets its own price, and you pay the price of the provider that answered.
Do providers train on my prompts?
Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.
Can I serve OpenAI: gpt-oss-120b myself?
Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.
Similar models
Call it
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llm.buzz/api/v1",
api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
model="openai/gpt-oss-120b",
messages=[{"role": "user", "content": "Hello"}],
)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llm.buzz/api/v1",
apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
model: "openai/gpt-oss-120b",
messages: [{ role: "user", content: "Hello" }],
});curl https://api.llm.buzz/api/v1/chat/completions \
-H "Authorization: Bearer $LLM_BUZZ_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "openai/gpt-oss-120b",
"messages": [{"role": "user", "content": "Hello"}]}'Endpoints
POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messagesAuthentication
Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.
More in Authentication and the API reference.
README
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.
- Model ID
- openai/gpt-oss-120b
- Takes
- Text
- Answers
- Text
- Context
- 128K tokens
- Max output
- 32K tokens
- Capabilities
- Tools, Structured outputs
- Parameters
- max_tokens, response_format, structured_outputs, temperature, tool_choice, tools
- Weights
- Open weights
- On llm.buzz since
- Oct 21, 2026