Compare · ModelsLive · 2 picked · head to head
GPT-4o-mini (2024-07-18) vs Gemma 2B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-4o-mini (2024-07-18) wins on 3/3 benchmarks
GPT-4o-mini (2024-07-18) wins 3 of 3 shared benchmarks. Leads in math · knowledge.
Category leads
math·GPT-4o-mini (2024-07-18)knowledge·GPT-4o-mini (2024-07-18)
Hype vs Reality
Attention vs performance
GPT-4o-mini (2024-07-18)
#125 by perf·no signal
Gemma 2B
#189 by perf·no signal
Best value
GPT-4o-mini (2024-07-18)
GPT-4o-mini (2024-07-18)
115.2 pts/$
$0.38/M
Gemma 2B
—
no price
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Google DeepMind
$4.00T·Tier 1
Head to head
3 benchmarks · 2 models
GPT-4o-mini (2024-07-18)Gemma 2B
GSM8K
GPT-4o-mini (2024-07-18) leads by +73.6
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
GPT-4o-mini (2024-07-18)
91.3
Gemma 2B
17.7
MMLU
GPT-4o-mini (2024-07-18) leads by +52.7
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
GPT-4o-mini (2024-07-18)
75.7
Gemma 2B
23.1
PIQA
GPT-4o-mini (2024-07-18) leads by +22.8
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
GPT-4o-mini (2024-07-18)
77.4
Gemma 2B
54.6
Full benchmark table
| Benchmark | GPT-4o-mini (2024-07-18) | Gemma 2B |
|---|---|---|
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 91.3 | 17.7 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 75.7 | 23.1 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 77.4 | 54.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.15 | $0.60 | 128K tokens (~64 books) | $2.62 | |
| — | — | — | — |