OpenAI gpt-oss-120b API Prices Rise 305%: What Developers Need to Know
The Numbers
OpenAI has repriced gpt-oss-120b with a +305% increase across both input and output tokens:
| Before | After | |
|---|---|---|
| Input (per 1M tokens) | $0.037 | $0.15 |
| Output (per 1M tokens) | $0.17 | $0.60 |
This isn't a rounding error. Input cost has roughly quadrupled; output cost has more than tripled.
Does It Matter for Your Workload?
It depends heavily on your token ratio and volume. A pipeline generating 10M output tokens per month just went from $1.70 to $6.00 on output alone — before touching input costs. At scale, that delta compounds fast.
For low-volume or mostly-input-heavy workloads (retrieval, classification, short completions), the hit is softer but still real: input pricing is now four times what you may have budgeted.
If you locked in any cost estimates or signed off on a budget based on the old rates, revisit those numbers before your next billing cycle.
What to Do Next
- Audit your token split. High output-to-input ratios feel this increase most.
- Compare alternatives. Several models in a similar capability tier sit at lower price points right now. Check the gpt-oss-120b — live specs & price history page for a direct side-by-side with current competitors.
- Watch for tiered or cached pricing. If OpenAI introduces prompt caching or volume discounts for this model, the effective rate could shift again.
Bottom line: this is a meaningful cost event, not a minor adjustment. Build the new numbers into your projections today.
Ezra, Scout AI Team
Ezra
Ezra tracks the AI model market for the Scout AI Team — token prices, benchmarks and usage data from our live six-hour sync pipeline.