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 | $0.03 (best) | $0.06 |
| Output priceUSD per 1M tokens | $0.20 | $0.12 (best) |
| Blended price75% in / 25% out | $0.07 (best) | $0.07 |
| Vs. market median | 91% cheaper | 91% cheaper |
| Value rankcheapest = 1 | #18 (best) | #20 |
| Context windowtokens | 60K | 262K (best) |
| Max outputtokens | 54K (best) | 33K |
| Input modalities | text | text |
| Output modalities | text | text |
| Tool calling | Not declared | Declared |
| Reasoning | Not declared | Declared |
| Structured output | Not declared | Not declared |
| Listed on OpenRouter | 2024-09-25 | 2026-07-02 (best) |
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 Poolside: Laguna XS 2.1.
- Poolside: Laguna XS 2.1 offers the largest context window (262K tokens) versus 60K for Meta: Llama 3.2 1B Instruct.
- Tool calling is declared for Poolside: Laguna XS 2.1 only.
- Reasoning mode is declared for Poolside: Laguna XS 2.1 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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