GPT-OSS 120B
131K context with Apache 2.0 license for full customization and self-hosting. Configurable reasoning depth with <think> tags and single 80GB GPU deployment for self-hosted RAG. If you want to compare the best LLMs for your data, try Agentset.
Model Information
- Provider
- OpenAI
- License
- Open Source
- Input Price per 1M
- $0.04
- Output Price per 1M
- $0.19
- Context Window
- 131K
- Release Date
- 2025-08-05
- Model Name
- gpt-oss-120b
- Total Evaluations
- 1350
Performance Record
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Performance Overview
ELO ratings by dataset
GPT-OSS 120B's ELO performance varies across different benchmark datasets, showing its strengths in specific domains.
GPT-OSS 120B - ELO by Dataset
Detailed Metrics
Dataset breakdown
Performance metrics across different benchmark datasets, including accuracy and latency percentiles.
PG
Quality Metrics
- Correctness
- 4.87
- Faithfulness
- 4.87
- Grounding
- 4.87
- Relevance
- 4.90
- Completeness
- 4.83
- Overall
- 4.87
Latency Distribution
- Mean
- 19128ms
- Min
- 1317ms
- Max
- 69491ms
MSMARCO
Quality Metrics
- Correctness
- 4.93
- Faithfulness
- 4.93
- Grounding
- 4.93
- Relevance
- 4.97
- Completeness
- 4.80
- Overall
- 4.91
Latency Distribution
- Mean
- 5616ms
- Min
- 1255ms
- Max
- 20330ms
SciFact
Quality Metrics
- Correctness
- 4.70
- Faithfulness
- 4.80
- Grounding
- 4.80
- Relevance
- 4.73
- Completeness
- 4.57
- Overall
- 4.72
Latency Distribution
- Mean
- 9160ms
- Min
- 1606ms
- Max
- 35709ms
Build RAG in Minutes, Not Months
Agentset gives you a complete RAG API with top-ranked LLMs and smart retrieval built in. Upload your data, call the API, and get grounded answers from day one.
import { Agentset } from "agentset";
const agentset = new Agentset();
const ns = agentset.namespace("ns_1234");
const results = await ns.search(
"What is multi-head attention?"
);
for (const result of results) {
console.log(result.text);
}Compare Models
See how it stacks up
Compare GPT-OSS 120B with other top llms to understand the differences in performance, accuracy, and latency.