gpt-oss-120b (high)
OpenAIOpen WeightApache 2.0 · Uso Comercial
Descripción
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.
Fecha de lanzamiento
2025-08-05
Parámetros
116.8B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
34
general
51
coding
91
reasoning
51
science
70
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 75 | 42.0 | LS |
| Ranking de codificación | 279 | 53.0 | AA |
| Ranking general | 210 | 53.0 | AA |
| Ciencia | 248 | 52.0 | AA |
Puntuaciones 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.
Índices de evaluación 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
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Physics80
Biology80
Chemistry80
Chat70
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
Precios
Precio de entrada$0.15 / 1M tokens
Precio de salida$0.595 / 1M tokens
Precio mixto (3:1)$0.261 / 1M tokens
Velocidad
Tokens/seg179.7
Retraso del primer token0.56s
Tiempo hasta la respuesta11.70s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
19 proveedores
Más barato: DeepInfraMás caro: Opper
ProveedorEntradaSalida
1DeepInfraMás barato
$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
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