gpt-oss-20b is 1.8× cheaper per million tokens (blended). gpt-oss-20b has the larger context window (131,072 vs 128,000 tokens).

Schematron V2 Small vs gpt-oss-20b

Live catalog fields. Best-in-row is highlighted.

Schematron V2 Smallopen

Inference Net · inference-net__schematron-v2-small

gpt-oss-20bopen

OpenAI · openai__gpt-oss-20b

Identity

Fieldinference-net__schematron-v2-smallopenai__gpt-oss-20b
ProviderInference NetOpenAI
Sluginference-net__schematron-v2-smallopenai__gpt-oss-20b
Statuslivelive
Open weightsYesYes
License——
HuggingFaceinference-net/schematron-v2-llama-3.2-3bopenai/gpt-oss-20b

Quality

Fieldinference-net__schematron-v2-smallopenai__gpt-oss-20b
Quality index (0–100)——

Cost

Fieldinference-net__schematron-v2-smallopenai__gpt-oss-20b
Input $ / 1M tokens$0.05$0.03
Cached input $ / 1M$0.05$0.03
Output $ / 1M tokens$0.23$0.13

Context

Fieldinference-net__schematron-v2-smallopenai__gpt-oss-20b
Max context tokens128,000131,072
Max output tokens4,096117,964

Modalities

Fieldinference-net__schematron-v2-smallopenai__gpt-oss-20b
Inputtexttext
Outputtexttext