gpt-oss-120b (high)
OpenAIOpen WeightApache 2.0 · Commercial OK
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.
Release Date
2025-08-05
Parameters
116.8B
Context Length
131K
Modalities
text
Capability Radar
34
general
51
coding
91
reasoning
51
science
70
agents
0
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 74 | 42.0 | LS |
| Code Ranking | 272 | 53.0 | AA |
| General Ranking | 206 | 53.0 | AA |
| Science | 242 | 52.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
63.9%SR
Chat
TAU-bench Retail
67.8%SR
General
MMLU
90.0%SR
Healthcare
HealthBench
57.6%SR
HealthBench Hard
30.0%SR
Instruction Following
IFBench
69.5%SR
Language
MMMLU
83.8%SR
MMLU-Pro
80.7%SR
Math
AIME 2025
92.5%SR
CodeForces
0.82 / 3000SR
Reasoning
LiveCodeBench v6
81.9%SR
GPQANYU + Cohere + Anthropic (2023)
80.9%SR
Humanity's Last Exam
14.9%SR
AA Evaluation Indices
(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
LLM Stats Category Scores
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Physics80
Biology80
Chemistry80
Chat70
Reasoning70
Communication70
Tool Calling70
Math60
General60
Healthcare60
Vision10
Pricing
Input Price$0.15 / 1M tokens
Output Price$0.595 / 1M tokens
Blended Price (3:1)$0.261 / 1M tokens
Speed
Tokens/sec214.3
Time to First Token0.56s
Time to Answer9.89s
Provider Price Ranking
Provider Price Ranking
19 providers
Cheapest: DeepInfraMost Expensive: Opper
ProviderInputOutput
1DeepInfraCheapest
$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
7OpenAIPRIMARY
$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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