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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

34
general
51
coding
91
reasoning
51
science
70
agents
0
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique75
42.0
LS
Classement codage281
53.0
AA
Classement général211
53.0
AA
Science250
52.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench63.9%Aut.

Chat

TAU-bench Retail67.8%Aut.

General

MMLU90.0%Aut.

Healthcare

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

Instruction Following

IFBench69.5%Aut.

Language

MMMLU83.8%Aut.
MMLU-Pro80.7%Aut.

Math

AIME 202592.5%Aut.
CodeForces0.82 / 3000Aut.

Reasoning

LiveCodeBench v681.9%Aut.
GPQANYU + Cohere + Anthropic (2023)80.9%Aut.
Humanity's Last Exam14.9%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Aime 25(MAA (Mathematical Association of America))
93.4
Math Index(Artificial Analysis)
93.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
87.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
80.8
Gpqa(NYU + Cohere + Anthropic (2023))
78.2
Ifbench(Google Research (2023))
69.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
65.8
Lcr(Artificial Analysis)
52.0
Scicode(UIUC + Argonne National Lab (2024))
34.0
Coding Index(Artificial Analysis)
30.4
Terminalbench V2 1
26.2
Terminalbench Hard(Stanford × Laude Institute (2026))
23.5
Hle(Center for AI Safety + Scale AI (2025))
19.6
Tau Banking
12.8
Intelligence Index(Artificial Analysis)
11.6
Terminalbench V4 0
0.0

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Language
90
Legal
90
Finance
90
Physics
80
Biology
80
Chemistry
80
Chat
70
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$0.595 / 1M tokens
Prix mixte (3:1)$0.261 / 1M tokens

Vitesse

Tokens/sec161.4
Délai du premier token0.55s
Temps de réponse12.94s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

19 fournisseurs

Moins cher: DeepInfraPlus cher: Opper
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2DevPass (LLM Gateway)
$0.032
$0.14
3Helicone
$0.04
$0.16
4DInference
$0.0675
$0.27
5Cortecs
$0.089
$0.446
6OVHcloud AI Endpoints
$0.09
$0.47
7OpenAIPRINCIPAL
$0.15
$0.595
8Scaleway
$0.15
$0.6
9FrogBot
$0.15
$0.6
10Neon
$0.15
$0.6
11Tinfoil
$0.15
$0.6
12AKI.IO
$0.15
$0.55
13SCX.ai
$0.17
$0.55
14Charm Hyper
$0.178
$0.68
15GreenPT
$0.228
$0.798
16Cerebras
$0.35
$0.75
17Privatemode AI
$0.4969
$1.9644
18Regolo AI
$1
$4.2
19Opper
$1.1622
$4.88124

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes