Compare · ModelsLive · 2 picked · head to head
o3 Mini vs Gemma 2 9B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
o3 Mini wins on 4/4 benchmarks
o3 Mini wins 4 of 4 shared benchmarks. Leads in arena · knowledge · math.
Category leads
arena·o3 Miniknowledge·o3 Minimath·o3 Mini
Hype vs Reality
Attention vs performance
o3 Mini
#149 by perf·no signal
Gemma 2 9B
#163 by perf·no signal
Best value
Gemma 2 9B
43.0x better value than o3 Mini
o3 Mini
14.0 pts/$
$2.75/M
Gemma 2 9B
600.0 pts/$
$0.06/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Google DeepMind
$4.00T·Tier 1
Head to head
4 benchmarks · 2 models
o3 MiniGemma 2 9B
Chatbot Arena Elo · Overall
o3 Mini leads by +82.4
o3 Mini
1347.5
Gemma 2 9B
1265.0
GPQA diamond
o3 Mini leads by +66.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
o3 Mini
69.4
Gemma 2 9B
3.3
MATH level 5
o3 Mini leads by +75.5
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
o3 Mini
96.5
Gemma 2 9B
21.0
OTIS Mock AIME 2024-2025
o3 Mini leads by +76.5
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
o3 Mini
76.9
Gemma 2 9B
0.5
Full benchmark table
| Benchmark | o3 Mini | Gemma 2 9B |
|---|---|---|
Chatbot Arena Elo · Overall | 1347.5 | 1265.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 69.4 | 3.3 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 96.5 | 21.0 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 76.9 | 0.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.10 | $4.40 | 200K tokens (~100 books) | $19.25 | |
| $0.03 | $0.09 | 8K tokens (~4 books) | $0.45 |
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