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gpt-oss-120b

Open-weight agentic model with configurable reasoning, full CoT visibility, strong tool use, and fine-tuning support.

ReasoningTool callingJSON schema
Try gpt-oss-120bCompareDocs

Specifications

Context window131K tokens
Max output128K tokens
API typechat
AddedMar 2, 2026
Model IDnebius/openai/gpt-oss-120b
Data retentionNo
Used for trainingNo
Provider location🇪🇺 EU
Privacy policyNebius Privacy Policy→

Benchmarks

Released 2025-08-05
Coding Indexcoding
28.6%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
78.2%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
33.3%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M
$0.15
Output / 1M
$0.60
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0210
1M input + 100K output$0.21
10M input + 1M output$2.10

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to nebius/openai/gpt-oss-120b.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

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

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

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Frequently asked questions

How much does gpt-oss-120b cost?
gpt-oss-120b is priced at $0.15 per million input tokens and $0.60 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of gpt-oss-120b?
gpt-oss-120b has a context window of 131K tokens, with a maximum output of 128K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
How does gpt-oss-120b perform on benchmarks?
gpt-oss-120b scores 93.4% on Math Index, 93.4% on AIME 2025, 87.8% on LiveCodeBench. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can gpt-oss-120b do?
gpt-oss-120b supports tool calling, extended reasoning, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gpt-oss-120b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nebius/openai/gpt-oss-120b". The Quickstart above shows Python, JavaScript and cURL snippets.

Access gpt-oss-120b through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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