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 | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 75 | 42.0 | LS |
| Classement codage | 281 | 53.0 | AA |
| Classement général | 211 | 53.0 | AA |
| Science | 250 | 52.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%Aut.
Chat
TAU-bench Retail
67.8%Aut.
General
MMLU
90.0%Aut.
Healthcare
HealthBench
57.6%Aut.
HealthBench Hard
30.0%Aut.
Instruction Following
IFBench
69.5%Aut.
Language
MMMLU
83.8%Aut.
MMLU-Pro
80.7%Aut.
Math
AIME 2025
92.5%Aut.
CodeForces
0.82 / 3000Aut.
Reasoning
LiveCodeBench v6
81.9%Aut.
GPQANYU + Cohere + Anthropic (2023)
80.9%Aut.
Humanity's Last Exam
14.9%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 126.2
Terminalbench Hard(Stanford × Laude Institute (2026))23.5
Hle(Center for AI Safety + Scale AI (2025))19.6
Tau Banking12.8
Intelligence Index(Artificial Analysis)11.6
Terminalbench V4 00.0
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Physics80
Biology80
Chemistry80
Chat70
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
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.