Side by side
Llama 3.2 1B Instruct vs Llama 3.2 3B Instruct
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 | $0.03 (best) | $0.05 |
| Output priceUSD per 1M tokens | $0.20 (best) | $0.33 |
| Blended price75% in / 25% out | $0.07 (best) | $0.12 |
| Vs. market median | 91% cheaper | 85% cheaper |
| Value rankcheapest = 1 | #18 (best) | #42 |
| Context windowtokens | 60K | 131K (best) |
| Max outputtokens | 54K | 118K (best) |
| Input modalities | text | text |
| Output modalities | text | text |
| Tool calling | Not declared | Not declared |
| Reasoning | Not declared | Not declared |
| Structured output | Not declared | Declared |
| Listed on OpenRouter | 2024-09-25 | 2024-09-25 |
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
- Meta: Llama 3.2 1B Instruct is the cheapest here at $0.07/M blended — 1.7× less than Meta: Llama 3.2 3B Instruct.
- Meta: Llama 3.2 3B Instruct offers the largest context window (131K tokens) versus 60K for Meta: Llama 3.2 1B Instruct.
Models
Model pages
Full pricing history, capabilities and alternatives for each model in this comparison.
$0.071
/M blended
$0.120
/M blended
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