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gpt-oss-120b (high)

OpenAIOpen WeightApache 2.0 · Commercial OK

Description

GPT-OSS-120B is an open-weight, 116.8B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation. It achieves near-parity with OpenAI o4-mini on core reasoning benchmarks. Note: While referred to as '120b' for simplicity, it technically has 116.8B parameters.

Release Date
2025-08-05
Parameters
116.8B
Context Length
131K
Modalities
text

Capability Radar

40
general
51
coding
91
reasoning
53
science
70
agents
0
multimodal

Rankings

Domain#RankScoreSource
Agentic Capability88
42.0
LS
Code Ranking198
54.0
AA
General Ranking143
62.0
AA
Science164
60.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%SR

Biology

GPQANYU + Cohere + Anthropic (2023)80.9%SR

Communication

TAU-bench Retail67.8%SR

Finance

MMLU90.0%SR
MMLU-Pro80.7%SR

General

MMMLU83.8%SR
LiveCodeBench v681.9%SR
IFBench69.5%SR

Healthcare

HealthBench57.6%SR
HealthBench Hard30.0%SR

Math

AIME 202592.5%SR
CodeForces0.82 / 3000SR
Humanity's Last Exam14.9%SR

AA Evaluation Indices

(Artificial Analysis)
Math Index(Artificial Analysis)
93.4
Coding Index(Artificial Analysis)
30.4
Intelligence Index(Artificial Analysis)
24.1
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Ifbench(Google Research (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Lcr(Artificial Analysis)
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench V2 1
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.2
Tau Banking
0.1

LLM Stats Category Scores

(LLM Stats (zeroeval))
Legal
90
Language
90
Finance
90
Physics
80
Biology
80
Chemistry
80
Reasoning
70
Communication
70
Tool Calling
70
Math
60
General
60
Healthcare
60
Vision
10

Pricing

Input Price$0.15 / 1M tokens
Output Price$0.6 / 1M tokens
Blended Price (3:1)$0.262 / 1M tokens
Cache Read Price$0.03 / 1M tokens

Speed

Tokens/sec159.3
Time to First Token0.56s
Time to Answer13.12s

Provider Price Ranking

Provider Price Ranking

18 providers

Cheapest: LLM GatewayMost Expensive: Regolo AI
ProviderInputOutput
1LLM GatewayCheapest
$0.032
$0.14
2Helicone
$0.04
$0.16
3DInference
$0.0675
$0.27
4Neon
$0.072
$0.28
5Cortecs
$0.089
$0.446
6OVHcloud AI Endpoints
$0.09
$0.47
7CoralBricks
$0.12
$0.6
8OpenAIPRIMARY
$0.15
$0.6
9Scaleway
$0.15
$0.6
10FrogBot
$0.15
$0.6
11Tinfoil
$0.15
$0.6
12AKI.IO
$0.15
$0.55
13SCX.ai
$0.17
$0.55
14Charm Hyper
$0.188
$0.7
15GreenPT
$0.228
$0.798
16Cerebras
$0.35
$0.75
17Privatemode AI
$0.4969
$1.9644
18Regolo AI
$1
$4.2

Compare pricing across different API providers for this model.

External Sources