Side by side
Gemini 3.8 Flash vs Gemma 3 12B
Source: OpenRouter (live)
Live figures
The numbers
Best value in each row is highlighted. “Not declared” means the provider does not advertise the feature on its listing.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $0.75 | $0.05 (best) |
| Output priceUSD per 1M tokens | $3.75 | $0.15 (best) |
| Blended price75% in / 25% out | $1.50 | $0.07 (best) |
| Vs. market median | 1.9× dearer | 91% cheaper |
| Value rankcheapest = 1 | #262 | #19 (best) |
| Context windowtokens | 1.0M (best) | 131K |
| Max outputtokens | 66K (best) | 16K |
| Input modalities | text, image, video, file, audio | text, image |
| Output modalities | text | text |
| Tool calling | Declared | Declared |
| Reasoning | Declared | Not declared |
| Structured output | Declared | Declared |
| Listed on OpenRouter | 2026-09-02 (best) | 2025-03-13 |
Blended price assumes a 3:1 input-to-output token mix. Median is across all 417 priced models.
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What the numbers say
- Google: Gemma 3 12B is the cheapest here at $0.07/M blended — 20× less than Google: Gemini 3.8 Flash.
- Google: Gemini 3.8 Flash offers the largest context window (1.0M tokens) versus 131K for Google: Gemma 3 12B.
- Reasoning mode is declared for Google: Gemini 3.8 Flash only.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
Google
$1.50
/M blended
Google
$0.075
/M blended
More comparisons
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- Gemini vs GPT-5: Google's flagship against OpenAI's
Gemini's very long context and multimodal input against GPT-5's ecosystem and pricing.
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