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gpt-oss-120b (high)

OpenAIOpen WeightApache 2.0 · Usage Commercial

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.

Date de sortie
2025-08-05
Paramètres
116.8B
Longueur du contexte
131K
Modalités
text

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique88
42.0
LS
Classement codage198
54.0
AA
Classement général143
62.0
AA
Science164
60.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)80.9%Aut.

Communication

TAU-bench Retail67.8%Aut.

Finance

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

General

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

Healthcare

HealthBench57.6%Aut.
HealthBench Hard30.0%Aut.

Math

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

Indices d'évaluation AA

(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

Scores par catégorie LLM Stats

(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

Tarification

Prix d'entrée$0.15 / 1M tokens
Prix de sortie$0.6 / 1M tokens
Prix mixte (3:1)$0.262 / 1M tokens
Prix de lecture cache$0.03 / 1M tokens

Vitesse

Tokens/sec159.3
Délai du premier token0.56s
Temps de réponse13.12s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

18 fournisseurs

Moins cher: LLM GatewayPlus cher: Regolo AI
FournisseurEntréeSortie
1LLM GatewayMoins cher
$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
8OpenAIPRINCIPAL
$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

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes