Analysis Summary
gpt-oss-20b is OpenAI's smaller open-weight model, offered here at very low batch pricing with a 131K context window. Its text-only design can work well for prompts that are narrow, repeatable, and easy to validate. The model is positioned for economical processing rather than multimodal analysis or sophisticated orchestration.
Suitable agency workloads include metadata drafting, classification, rewriting, content tagging, and simple code or data transformations. No independent benchmark results are supplied for this batch variant, and tool use or function calling is not listed, so it should not be relied on for autonomous agents or complex software engineering. It is a volume option for routine work, especially where human review or deterministic checks are available. Keep a stronger model available for nuanced writing and ambiguous instructions.
Assessed September 1, 2026
Editorial notes
gpt-oss-20b is a low-cost text model suited to high-volume structured tasks and routine coding assistance. The batch variant has no separate benchmark data and lacks listed tool or function-calling support, limiting its role in autonomous workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
gpt-oss-20b is a low-cost text model suited to high-volume structured tasks and routine coding assistance. The batch variant has no separate benchmark data and lacks listed tool or function-calling support, limiting its role in autonomous workflows.
How OpenAI: gpt-oss-20b (batch) compares
Its 131K-token context window is larger than 49% of the models we list. At $0.05 per million input tokens it is cheaper than 76% 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 | $0.05 | $0.000050 |
| Output | $0.20 | $0.000200 |
What would OpenAI: gpt-oss-20b (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-20b (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: gpt-oss-20b (batch)
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for..
Explore Related Models
Frequently asked questions about OpenAI: gpt-oss-20b (batch)
How much does OpenAI: gpt-oss-20b (batch) cost?
OpenAI: gpt-oss-20b (batch) costs $0.05 per million input tokens and $0.20 per million output tokens.
What is the context window of OpenAI: gpt-oss-20b (batch)?
OpenAI: gpt-oss-20b (batch) has a context window of 131,072 tokens (131K).
Who created OpenAI: gpt-oss-20b (batch)?
OpenAI: gpt-oss-20b (batch) is developed by OpenAI and was released on August 5, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm