GPT OSS 120B

ChatInput: TextReleased Aug 5, 2025

Built by OpenAI · United States · openai.com

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...

How to use

model: "openai/gpt-oss-120b"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "openai/gpt-oss-120b",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

131K

Max output

131K

Input $/1M

$0.04

Output $/1M

$0.17

Features

Tool callingJSON

Serving providers

DeepInfraNovitaW&B InferenceFireworks

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

Epoch Capabilities IndexComposite over 50+ benchmarks

140.6

Terminal-BenchAgentic terminal tasks

18.7%

At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.

Speed

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