Gemma 4 26B A4B vs o3 Mini
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 26B A4B and o3 Mini.
Gemma 4 26B A4B
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
o3 Mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
Technical Specifications
| Specification | Gemma 4 26B A4B | o3 Mini |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 262,144 tokens | 200,000 tokens |
| Agent Suitability | N/A | 91/100 |
| Time to First Token (TTFT) | N/A | 800 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-03 | 2025-01-31 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 26B A4B
$0.06
o3 Mini
$1.10
Output Price per Million Tokens
Gemma 4 26B A4B
$0.33
o3 Mini
$4.40
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemma 4 26B A4B Quirks & Gotchas
No developer gotchas reported.
o3 Mini Quirks & Gotchas
- ▸Best cost/performance ratio for reasoning tasks in the OpenAI lineup
- ▸Still slower than GPT-5 for simple tool calls — route accordingly