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gpt-oss-20b (high)

OpenAIOpen WeightApache 2.0 · Commercial OK

Description

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.

Release Date
2025-08-05
Parameters
20.9B
Context Length
131K
Modalities
text

Capability Radar

29
general
42
coding
86
reasoning
47
science
50
agents
0
multimodal

Rankings

Domain#RankScoreSource
Code Ranking374
38.0
AA
General Ranking253
48.0
AA
Science306
46.0
AA

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Chat

TAU-bench Retail54.8%SR

General

MMLU85.3%SR

Healthcare

HealthBench42.5%SR
HealthBench Hard10.8%SR

Math

AIME 202598.7%SR
CodeForces0.74 / 3000SR

Reasoning

GPQANYU + Cohere + Anthropic (2023)74.2%SR
Humanity's Last Exam10.9%SR

AA Evaluation Indices

(Artificial Analysis)
Aime 25(MAA (Mathematical Association of America))
89.3
Math Index(Artificial Analysis)
89.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
77.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
74.8
Gpqa(NYU + Cohere + Anthropic (2023))
68.8
Ifbench(Google Research (2023))
65.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
60.2
Scicode(UIUC + Argonne National Lab (2024))
38.9
Lcr(Artificial Analysis)
34.7
Coding Index(Artificial Analysis)
20.7
Terminalbench V2 1
13.9
Hle(Center for AI Safety + Scale AI (2025))
11.0
Terminalbench Hard(Stanford × Laude Institute (2026))
10.6
Intelligence Index(Artificial Analysis)
9.0
Tau Banking
7.0
Terminalbench V4 0
0.0

LLM Stats Category Scores

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

Pricing

Input Price$0.07 / 1M tokens
Output Price$0.18 / 1M tokens
Blended Price (3:1)$0.098 / 1M tokens
Cache Read Price$0.009 / 1M tokens

Speed

Tokens/sec185.3
Time to First Token0.43s
Time to Answer11.22s

Provider Price Ranking

Provider Price Ranking

26 providers

Cheapest: DeepInfraMost Expensive: Regolo AI
ProviderInputOutput
1DeepInfraCheapest
$0
$0
2OpenRouter
$0.018
$0.09
3Kilo Gateway
$0.018
$0.09
4IO.NET
$0.03
$0.14
5CoreWeave
$0.03
$0.13
6Deep Infra
$0.03
$0.14
7Vercel AI Gateway
$0.03
$0.14
8NovitaAI
$0.04
$0.15
9SiliconFlow
$0.04
$0.18
10DevPass (LLM Gateway)
$0.04
$0.19
11Merge Gateway
$0.04
$0.2
12Cortecs
$0.045
$0.167
13Helicone
$0.05
$0.2
14OVHcloud AI Endpoints
$0.05
$0.18
15FastRouter
$0.05
$0.2
16Together AI
$0.05
$0.2
17OpenAIPRIMARY
$0.07
$0.18
18FrogBot
$0.07
$0.2
19Neon
$0.07
$0.3
20Pioneer
$0.07
$0.3
21Groq
$0.075
$0.3
22Hugging Face
$0.1
$0.5
23Opper
$0.11622
$0.48812
24STACKIT
$0.18
$0.29
25NanoGPT
$0.2
$0.3
26Regolo AI
$0.4
$1.8

Compare pricing across different API providers for this model.

External Sources