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Language modelDeprecated

o3-mini

OpenAI

Released
January 31, 2025
Data date
September 8, 2026
Successor
o4-mini
Benchmark-Meta-Score
0 / 100
Standard error ± 0
Speed
200.1 tokens/s
Output throughput
Price
No current rate
Historical rates under Costs
Input
Text
Output
Text

o3-mini launched on January 31, 2025 as a small reasoning model for math, science, and coding. At launch, OpenAI increased the daily ChatGPT Plus and Team limit from 50 messages with o1-mini to 150 with o3-mini. It was the first small reasoning model in the series to support function calling, structured outputs, and developer messages in the API.

Its reasoning effort can be set to three levels. o3-mini does not accept image inputs. It replaced o1-mini in the ChatGPT model picker and was later succeeded by o4-mini.

Position
Rank 78 of 91
Index score
0 / 100
1.Claude Fable 5.193 / 100
1.Claude Opus 5.594.3 / 100
1.Claude Sonnet 5.591.5 / 100
2.GPT-6 Astra90.5 / 100
3.Claude Opus 587.6 / 100
4.GPT-6.1 Sol88.6 / 100
4.Muse Wonder Full86.9 / 100
5.Claude Fable 585 / 100
7.Muse Wonder80 / 100
10.Gemini 3.7 Flash71.3 / 100
10.Gemini 3.8 Flash70.2 / 100
10.GPT-5.6 Sol71.4 / 100
10.GPT-6 Sol70.4 / 100
10.Muse Spark 1.366.1 / 100
11.Claude Haiku 5.559.3 / 100
13.Kimi K362 / 100
15.GPT-5.554.7 / 100
16.Claude Opus 4.852 / 100
16.Grok 4.655.7 / 100
16.Grok 4.754.6 / 100
17.Qwen 3.8 Max 090249.8 / 100
18.Claude Opus 4.744.9 / 100
18.GLM-5.350.5 / 100
18.GPT-5.6 Terra47.9 / 100
20.DeepSeek-V4.1-Flash42.4 / 100
20.Gemini 3.6 Flash44.4 / 100
21.Gemini 3.5 Flash45.9 / 100
22.Grok 4.537.9 / 100
23.Mistral Large 432.4 / 100
24.GLM-5.3-Flash38 / 100
24.GPT-6 Luna38.6 / 100
28.Claude Sonnet 531.5 / 100
28.GPT-5.6 Luna33.1 / 100
29.Gemini 3.1 Pro Preview28.7 / 100
32.Claude Opus 4.617.9 / 100
33.DeepSeek-V4-Flash15.1 / 100
34.Claude Sonnet 4.620.1 / 100
34.DeepSeek-V4-Pro19.6 / 100
34.GLM-5.224.1 / 100
35.Qwen 3.8 27B14.8 / 100
36.MiniMax M316.9 / 100
36.Qwen 3.7 Max16.8 / 100
37.Gemini 3 Flash Preview10.6 / 100
37.GPT-5.415.4 / 100
40.Kimi K2.613.2 / 100
42.Kimi K2.7 Code9.4 / 100
43.GPT-57.5 / 100
44.GLM-5.18.9 / 100
44.Qwen 3.7 Plus8.2 / 100
45.Claude Opus 4.55.2 / 100
47.Inkling4.6 / 100
47.Inkling Small4.9 / 100
47.MiMo-V2.5-Pro4.5 / 100
49.Gemini 3.5 Flash-Lite4.8 / 100
49.o34.3 / 100
51.GPT-5.4 mini3.7 / 100
54.GLM-52.5 / 100
54.Grok 4.32.2 / 100
55.Kimi K2.52.2 / 100
55.Qwen 3.6 27B1.8 / 100
57.Claude Sonnet 4.50.9 / 100
57.Gemma 4 31B0.3 / 100
57.MiMo-V2.51.4 / 100
58.GPT-5 mini1.4 / 100
60.MiniMax M2.71.1 / 100
60.o4-mini0.7 / 100
62.Gemini 2.5 Pro0.4 / 100
62.GPT-5.4 nano0.7 / 100
63.MiniMax M2.50.6 / 100
64.Gemini 3.1 Flash-Lite0.4 / 100
66.MiniMax M2.10.2 / 100
67.Ling 3.0 Flash0.1 / 100
67.o10.1 / 100
69.Kimi K2 Thinking0.1 / 100
72.GLM-4.50 / 100
73.DeepSeek-R10 / 100
73.Mistral Medium 3.50 / 100
74.GPT OSS 120B0 / 100
75.GPT-4.10 / 100
78.GPT-4.1 mini0 / 100
78.GPT-5 nano0 / 100
78.o3-mini0 / 100
80.Trinity Large Thinking0 / 100
81.DeepSeek-V3 03240 / 100
82.GPT OSS 20B0 / 100
82.Mistral Small 40 / 100
83.Mistral Large 30 / 100
86.DeepSeek-V30 / 100
88.Llama 4 Maverick0 / 100
90.Command A0 / 100
90.Llama 4 Scout0 / 100
Methodology and source

The LLM comparison hub's selected-panel index averages rank percentiles from 65 documented comparison cohorts. Benchmark meta-scores are shown in the benchmark section.