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gpt-oss-20b (high)

OpenAIOpen WeightApache 2.0 · Uso Comercial

Descripción

The gpt-oss-20b model (technically 20.9B parameters) achieves near-parity with OpenAI o4-mini on core reasoning benchmarks, while running efficiently on a single 80 GB GPU. The gpt-oss-20b model delivers similar results to OpenAI o3‑mini on common benchmarks and can run on edge devices with just 16 GB of memory, making it ideal for on-device use cases, local inference, or rapid iteration without costly infrastructure. Both models also perform strongly on tool use, few-shot function calling, CoT reasoning (as seen in results on the Tau-Bench agentic evaluation suite) and HealthBench (even outperforming proprietary models like OpenAI o1 and GPT‑4o). Note: While referred to as '20b' for simplicity, it technically has 20.9B parameters.

Fecha de lanzamiento
2025-08-05
Parámetros
20.9B
Longitud del contexto
131K
Modalidades
text

Radar de capacidades

32
general
42
coding
86
reasoning
45
science
50
agents
0
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación293
39.0
AA
Ranking general218
53.0
AA
Ciencia256
48.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)74.2%Aut.

Communication

TAU-bench Retail54.8%Aut.

Finance

MMLU85.3%Aut.

Healthcare

HealthBench42.5%Aut.
HealthBench Hard10.8%Aut.

Math

AIME 202598.7%Aut.
CodeForces0.74 / 3000Aut.
Humanity's Last Exam10.9%Aut.

Índices de evaluación AA

(Artificial Analysis)
Math Index(Artificial Analysis)
89.3
Coding Index(Artificial Analysis)
20.7
Intelligence Index(Artificial Analysis)
15.2
Aime 25(MAA (Mathematical Association of America))
0.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Ifbench(Google Research (2023))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.6
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.3
Terminalbench V2 1
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Tau Banking
0.1

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Legal
90
Language
90
Finance
90
Physics
70
Biology
70
Chemistry
70
Math
60
Reasoning
60
General
50
Healthcare
50
Communication
50
Tool Calling
50
Vision
10

Precios

Precio de entrada$0.06 / 1M tokens
Precio de salida$0.19 / 1M tokens
Precio mixto (3:1)$0.092 / 1M tokens

Velocidad

Tokens/seg113.8
Retraso del primer token0.65s
Tiempo hasta la respuesta18.23s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

8 proveedores

Más barato: LLM GatewayMás caro: Regolo AI
ProveedorEntradaSalida
1LLM GatewayMás barato
$0.04
$0.15
2Cortecs
$0.045
$0.167
3Helicone
$0.05
$0.2
4OVHcloud AI Endpoints
$0.05
$0.18
5Neon
$0.05
$0.2
6OpenAIPRINCIPAL
$0.06
$0.19
7FrogBot
$0.07
$0.2
8Regolo AI
$0.4
$1.8

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas