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 | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 88 | 42.0 | LS |
| Classement codage | 198 | 54.0 | AA |
| Classement général | 143 | 62.0 | AA |
| Science | 164 | 60.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
80.9%Aut.
Communication
TAU-bench Retail
67.8%Aut.
Finance
MMLU
90.0%Aut.
MMLU-Pro
80.7%Aut.
General
MMMLU
83.8%Aut.
LiveCodeBench v6
81.9%Aut.
IFBench
69.5%Aut.
Healthcare
HealthBench
57.6%Aut.
HealthBench Hard
30.0%Aut.
Math
AIME 2025
92.5%Aut.
CodeForces
0.82 / 3000Aut.
Humanity's Last Exam
14.9%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 10.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Legal90
Language90
Finance90
Physics80
Biology80
Chemistry80
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
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.