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CostPerPrompt

gpt-oss-120b API Pricing

OpenAI · context window 131K · prices updated 2026-09-15

Input per 1M tokens
$0.037
Output per 1M tokens
$0.17
Cached input per 1M
No discounted cached tier on this model

Where gpt-oss-120b sits on price

At $0.17 per million output tokens, gpt-oss-120b is a budget tier model — 12.2× cheaper than the median output price of $2.08, which puts it in the cheapest 10% of everything we track. It sits 2th cheapest of the 92 OpenAI models we track. Output costs 4.6× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
5,882,353
One full context fill
$0.0048
Cheaper than
95% of tracked models

What real workloads cost on gpt-oss-120b

These three workloads are the ones teams actually run on a budget-priced model — a $0.17/1M 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 $109
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0 $1.32
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0002 $58.80

Model your exact traffic in the API cost calculator — it preloads gpt-oss-120b with caching and batch options.

gpt-oss-120b price history

OpenAI last raised gpt-oss-120b's output price on Aug 23, 2026, from $0.03/$0.17 to $0.037/$0.17 per 1M in/out. That is one of 2 repricings in the 44 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 2, 2026 (tracking began) $0.037 $0.17
Aug 12, 2026 $0.03 $0.17 0%
Aug 23, 2026 $0.037 $0.17 0%

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

gpt-oss-120b vs DeepSeek V4 Flash 0423

The closest-priced alternative from another vendor is DeepSeek V4 Flash 0423 (DeepSeek) — 4% more expensive on output, with $0.0516 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 DeepSeek V4 Flash 0423 pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the gpt-oss-120b API cost?

gpt-oss-120b costs $0.037 per million input tokens and $0.17 per million output tokens and no discounted cached-input tier. That works out to roughly 5,882,353 output tokens per dollar.

What does the high-volume classification workload cost on gpt-oss-120b?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $109 per month on gpt-oss-120b. Short output, huge volume: the input price dominates the bill.

What does it cost to fill gpt-oss-120b's 131K context window?

Sending 131K of input in a single request costs $0.0048 at $0.037 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-120b worth the price?

gpt-oss-120b is in the cheapest end of the market — cheaper than 95% 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.