OpenAI · apache_2_0

GPT OSS 120B High

GPT OSS 120B High by OpenAI appears in 1 source with Reasoning at 31.76. Best read for Low cost, Math, Open weights.

CreatorOpenAI

Release date2025-08-05

Knowledge cutoffNot published

Context131K tokens

Input price$0.1/M tokens

Output price$0.5/M tokens

Modalitytext

CountryUS

Metrics

All source-backed metrics

Open in leaderboard

LLM Stats Rank79ranking · source_rank

LLM Stats Code Index (estimated from arena)27.45 scoremetric

Reasoning31.76reasoning · index_reasoning

Math28.9math · index_math

Tool calling1.76tool_calling · index_tool_calling

Finance26.53domain · index_finance

Legal26.52domain · index_legal

Healthcare26.24domain · index_healthcare

GPQA80.9 %reasoning · gpqa_score

AIME 202592.5 %math · aime_2025_score

Code Arena718.47 %coding · coding_arena_score

MMMLU83.8 %reasoning · mmmlu_score

Context131,072 tokenscontext · context

Speed103.33 c/sperformance · throughput

Latency45,928.57 msperformance · latency

Input price0.1 $/Mpricing · input_price

Output price0.5 $/Mpricing · output_price

Parameters116,800,000,000 paramsmodel · params

Evidence

Citations and source overlap

LLM StatsPublic full LLM leaderboard advanced explorer snapshot, including ranking, benchmark indexes, pricing, speed, context, license, and model metadata.Retrieved 2026-06-01

FAQ

How should I read this profile?

Treat this as a source-backed model dossier, not an EvalKit-run verification. The public values are replicated from linked sources and kept source-scoped.

Is GPT OSS 120B High verified by EvalKit?

No. EvalKit currently shows 0 verified rows until real run evidence exists.

Why can metrics disagree?

Different sources test different tasks, dates, prompts, and aggregation methods. EvalKit keeps those differences visible instead of merging them into a fake universal score.