Gemma 3 12B vs Gemma 4 31B
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 3 12B and Gemma 4 31B.
Gemma 3 12B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Gemma 4 31B
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Technical Specifications
| Specification | Gemma 3 12B | Gemma 4 31B |
|---|---|---|
| Provider | ||
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-03-13 | 2026-04-02 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 3 12B
$0.05
Gemma 4 31B
$0.12
Output Price per Million Tokens
Gemma 3 12B
$0.15
Gemma 4 31B
$0.35
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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 3 12B Quirks & Gotchas
No developer gotchas reported.
Gemma 4 31B Quirks & Gotchas
No developer gotchas reported.