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 | $0.40 | $0.10 (best) |
| Output priceUSD per 1M tokens | $0.40 | $0.30 (best) |
| Blended price75% in / 25% out | $0.40 | $0.15 (best) |
| Vs. market median | 50% cheaper | 81% cheaper |
| Value rankcheapest = 1 | #129 | #64 (best) |
| Context windowtokens | 131K | 1.3M (best) |
| Max outputtokens | 16K | 16K |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tool calling | Declared | Declared |
| Reasoning | Not declared | Not declared |
| Structured output | Declared | Declared |
| Listed on OpenRouter | 2024-07-23 | 2025-04-05 (best) |
Source: OpenRouter (live)
Permanent link to this comparisonRead-out
What the numbers say
- Meta: Llama 4 Scout is the cheapest here at $0.15/M blended — 2.7× less than Meta: Llama 3.1 70B Instruct.
- Meta: Llama 4 Scout offers the largest context window (1.3M tokens) versus 131K for Meta: Llama 3.1 70B Instruct.
Generated from the live figures above. Capabilities are what each provider declares on its listing.
Curated
Head-to-heads we keep up to date
Each comparison resolves to the newest models in the named families and carries our own guidance on which to choose.
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