OpenAI: gpt-oss-120b (batch)
Analysis Summary
OpenAI gpt-oss-120b is a text model with a 131,072-token context window, tool use, and function calling. Its larger model size and workflow interface suggest a possible role in structured automation, but the supplied record contains no benchmark results for reasoning, coding, or agentic reliability.
The listed price, $0.15 per million input tokens and $0.60 per million output tokens, is attractive for tool-enabled workloads and high-volume processing. It could be tested for retrieval, data transformation, internal assistants, and routine API orchestration. Without measured evidence or multimodal support, it should not be the first choice for demanding client content, visual analysis, or autonomous software engineering.
Assessed September 7, 2026
Editorial notes
gpt-oss-120b offers tool and function calling, a 131K context window, and low pricing relative to its larger scale. The supplied record contains no benchmark data, so production capability still needs direct testing.
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DFO Verdict
gpt-oss-120b offers tool and function calling, a 131K context window, and low pricing relative to its larger scale. The supplied record contains no benchmark data, so production capability still needs direct testing.
How OpenAI: gpt-oss-120b (batch) compares
Its 131K-token context window is larger than 47% of the models we list. At $0.15 per million input tokens it is cheaper than 60% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would OpenAI: gpt-oss-120b (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: gpt-oss-120b (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: gpt-oss-120b (batch)
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..
Frequently asked questions about OpenAI: gpt-oss-120b (batch)
How much does OpenAI: gpt-oss-120b (batch) cost?
OpenAI: gpt-oss-120b (batch) costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of OpenAI: gpt-oss-120b (batch)?
OpenAI: gpt-oss-120b (batch) has a context window of 131,072 tokens (131K).
What can OpenAI: gpt-oss-120b (batch) do?
OpenAI: gpt-oss-120b (batch) supports tool use and function calling.
Who created OpenAI: gpt-oss-120b (batch)?
OpenAI: gpt-oss-120b (batch) is developed by OpenAI and was released on August 5, 2025.