Compare
Compare AI models side by side
Choose up to 4 models. Prices, context windows and declared capabilities are read live from the OpenRouter listing, so the table reflects what the providers publish today.
| Attribute | ||
|---|---|---|
| Input priceUSD per 1M tokens | $0.05 | $0.03 (best) |
| Output priceUSD per 1M tokens | $0.15 (best) | $0.20 |
| Blended price75% in / 25% out | $0.07 | $0.07 (best) |
| Vs. market median | 91% cheaper | 91% cheaper |
| Value rankcheapest = 1 | #19 | #18 (best) |
| Context windowtokens | 131K (best) | 60K |
| Max outputtokens | 16K | 54K (best) |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tool calling | Declared | Not declared |
| Reasoning | Not declared | Not declared |
| Structured output | Declared | Not declared |
| Listed on OpenRouter | 2025-03-13 (best) | 2024-09-25 |
Source: OpenRouter (live)
Permanent link to this comparisonRead-out
What the numbers say
- Meta: Llama 3.2 1B Instruct is the cheapest here at $0.07/M blended — 1.1× less than Google: Gemma 3 12B.
- Google: Gemma 3 12B offers the largest context window (131K tokens) versus 60K for Meta: Llama 3.2 1B Instruct.
- Tool calling is declared for Google: Gemma 3 12B only.
Generated from the live figures above. Capabilities are what each provider declares on its listing.
Curated
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Each comparison resolves to the newest models in the named families and carries our own guidance on which to choose.
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