OpenAI: gpt-oss-120b (batch)
Analysis Summary
gpt-oss-120b is OpenAI's large open-weight model, presented here with tool use, function calling, and a 131K context window. Its text interface is suited to structured API work, while the low batch pricing makes it attractive for high-volume processing. The parameter scale suggests broader capability than compact models, but product metadata alone cannot establish production quality.
An agency could test it for code assistance, data transformation, SEO pipelines, and supervised tool-using agents. The batch variant has no separate benchmark results in the supplied record, so its reasoning and coding performance should not be treated as identical to the separately listed model. It lacks vision and file-specific multimodal input. Adopt it where cost and throughput matter, with regression tests, output validation, and a stronger fallback for difficult tasks.
Assessed September 1, 2026
Editorial notes
gpt-oss-120b offers tool use, function calling, a 131K context window, and low batch pricing for a large open-weight model. This batch variant has no separate benchmark record, so complex coding and agentic reliability require validation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
gpt-oss-120b offers tool use, function calling, a 131K context window, and low batch pricing for a large open-weight model. This batch variant has no separate benchmark record, so complex coding and agentic reliability require validation.
How OpenAI: gpt-oss-120b (batch) compares
Its 131K-token context window is larger than 49% of the models we list. At $0.15 per million input tokens it is cheaper than 61% 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 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.