Atlas / Models / OpenAI / OpenAI: gpt-oss-120b (exacto)

OpenAI: gpt-oss-120b (exacto)✓ Catalog verified

openai/gpt-oss-120b:exacto

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.

Input price
$0.04 /1M
Output price
$0.19 /1M
Context
131K
Modalities
text
Released
Aug 5, 2025
Tool calling
✓ Yes
Atlas signal
87/100
01

Overview

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.

Access: available through the official OpenAI API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifieropenai/gpt-oss-120b:exacto
ProviderOpenAI
Model typeText LLM
Context window131K catalog
Input modalitiestext
Output modalitiestext
ReleasedAug 5, 2025
TokenizerGPT
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoningmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for openai/gpt-oss-120b:exacto as published in the catalog.

$0.04
Input /1M
$0.19
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$3.9e-8$0.04 / 1MPer input token
Completion tokens$1.9e-7$0.19 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.06Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

OpenAI: gpt-oss-120b (exacto)
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call OpenAI: gpt-oss-120b (exacto) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="openai/gpt-oss-120b:exacto",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does OpenAI: gpt-oss-120b (exacto) cost?

$0.04 per 1M input tokens and $0.19 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: gpt-oss-120b (exacto)?

OpenAI: gpt-oss-120b (exacto) supports up to 131K tokens of context.

Does OpenAI: gpt-oss-120b (exacto) support tool / function calling?

Yes, OpenAI: gpt-oss-120b (exacto) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access OpenAI: gpt-oss-120b (exacto)?

Use the official OpenAI API with the model id `openai/gpt-oss-120b:exacto`. See the Quick start section above for code examples.