gpt-oss-20b (batch) API Pricing
OpenAI · context window 131K · prices updated 2026-09-29
Where gpt-oss-20b (batch) sits on price
At $0.112 per million output tokens, gpt-oss-20b (batch) is a budget tier model — 19.6× cheaper than the median output price of $2.20, which puts it in the cheapest 10% of everything we track. It sits 2th cheapest of the 100 OpenAI models we track. Output costs 4.7× input, the usual spread — trim both, starting with the answer length.
What real workloads cost on gpt-oss-20b (batch)
These three workloads are the ones teams actually run on a budget-priced model — a $0.112/1M model is not bought for the same job as one ten times the price.
| Workload | Per request | Per month |
|---|---|---|
| High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. | $0 | $71.04 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0 | $0.864 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.0001 | $38.40 |
Model your exact traffic in the API cost calculator — it preloads gpt-oss-20b (batch) with caching and batch options.
gpt-oss-20b (batch) price history
OpenAI last cut gpt-oss-20b (batch)'s output price on Sep 23, 2026 (-44% per output token), from $0.05/$0.2 to $0.024/$0.112 per 1M in/out. That is the only repricing in the 32 days we have tracked it — worth knowing before you hard-code today's rate into a budget.
| Date | Input /1M | Output /1M | Output change |
|---|---|---|---|
| Aug 28, 2026 (tracking began) | $0.05 | $0.2 | — |
| Sep 23, 2026 | $0.024 | $0.112 | -44% |
Change-points from our daily price snapshots (tracking since Aug 28, 2026; intraday moves between snapshots are not captured).
gpt-oss-20b (batch) vs Gemma 3 4B
The closest-priced alternative from another vendor is Gemma 3 4B (Google) — 11% cheaper on output, with $0.026 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.
See Gemma 3 4B pricing →Cheaper alternatives
More OpenAI models
Frequently asked questions
› How much does the gpt-oss-20b (batch) API cost?
gpt-oss-20b (batch) costs $0.024 per million input tokens and $0.112 per million output tokens and no discounted cached-input tier. That works out to roughly 8,928,571 output tokens per dollar.
› What does the high-volume classification workload cost on gpt-oss-20b (batch)?
High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $71.04 per month on gpt-oss-20b (batch). Short output, huge volume: the input price dominates the bill.
› What does it cost to fill gpt-oss-20b (batch)'s 131K context window?
Sending 131K of input in a single request costs $0.0031 at $0.024 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.
› Is gpt-oss-20b (batch) worth the price?
gpt-oss-20b (batch) is in the cheapest end of the market — cheaper than 98% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.