GPT-OSS 20B pricing
GPT-OSS 20B, Small-tier from Groq, costs $0.075 per 1M input tokens and $0.30 per 1M output tokens.
Input$0.075per 1M tokens
Output$0.30per 1M tokens
Context window131Ktokens
TierSmallGroq
Price your own workload against GPT-OSS 20B in the calculator →
Specs and pricing
| Provider | Groq |
| Tier | Small |
| Context window | 131K tokens |
| Max output | 66K tokens |
| Input price | $0.075 / 1M tokens |
| Output price | $0.30 / 1M tokens |
| Modalities | text |
Note. Cheapest general-purpose text model with public pricing on Groq's models page.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $0.07 | $0.07 | $0.15 |
| 10,000,000 in / 2,500,000 out | $0.75 | $0.75 | $1.50 |
| 100,000,000 in / 25,000,000 out | $7.50 | $7.50 | $15.00 |
Cheaper alternatives
Same tier (Small), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| Meta-Llama-3.1-8B-Instruct-Turbo | DeepInfra | $0.02 | $0.04 | 80% cheaper blended |
| Solar Pro 4 | OpenRouter | $0.03 | $0.12 | 60% cheaper blended |
| GPT-OSS 20B | OpenRouter | $0.03 | $0.13 | 58.3% cheaper blended |
| schematron-v2-turbo | inference.net | $0.03 | $0.15 | 55% cheaper blended |
| Amazon Nova Micro | Amazon (Nova) | $0.035 | $0.14 | 53.3% cheaper blended |