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Fireworks AI

gpt-oss-120b

GPT-OSS-120B is OpenAI's open-weight large language model with 116 billion total parameters (5.1 billion active, Mixture-of-Experts). Designed for high-performance reasoning, agentic tasks, function calling, and general-purpose applications. Supports configurable reasoning depth and chain-of-thought. Released under Apache 2.0 license.

🧠Reasoning🔧Tool calling⚡Caching
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Specifications

Context window131K tokens
Max output66K tokens
API typechat
AddedMay 27, 2026
Model IDfireworks/gpt-oss-120b
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyFireworks Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Fireworks AI models overview.

Pricing

Input / 1M
$0.15
Output / 1M
$0.60
Cache write
—
Cache read / 1M
$0.01
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 fireworks/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="fireworks/gpt-oss-120b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Fireworks AI models

gpt-oss-20b
131K ctx$0.07/1M
deepseek-v4-flash
1M ctx$0.14/1M
qwen3.6-plus
131K ctx$0.50/1M
minimax-m2.7
197K ctx$0.30/1M
glm-5.1
202K ctx$1.40/1M
deepseek-v4-pro
1M ctx$1.74/1M

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. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. 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 66K tokens per response. That's roughly 175 words of input you can fit in a single prompt.
What can gpt-oss-120b do?
gpt-oss-120b supports tool calling, extended reasoning, prompt caching. 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 "fireworks/gpt-oss-120b". The Quickstart above shows Python, JavaScript and cURL snippets.

Access gpt-oss-120b through Requesty

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