Inference.net Schematron V2 Small vs Meta Llama 3.2 1B Instruct
Side by side from live data: prices, limits, who serves each model and how reliably, and how they do on our chess arena.
In short
- Llama 3.2 1B Instruct is 1.3× cheaper at a typical mix of 3 input tokens per output token.
- Schematron V2 Small accepts longer prompts: 128K vs 60K tokens.
- Schematron V2 Small is the newer model (released 2026-09-12).
| Schematron V2 Small | Llama 3.2 1B Instruct | |
|---|---|---|
| Vendor | Inference.net | Meta |
| Released | 2026-09-12 | 2024-09-25 |
| Input / 1M | $0.05 | $0.027 |
| Output / 1M | $0.23 | $0.201 |
| Cached input / 1M | $0.05 | — |
| Blended / 1M (3:1) | $0.095 | $0.071 |
| Context | 128K | 60K |
| Max output | 4K | 54K |
| Accepts | text | text |
| Reasoning | No | No |
| Providers on OpenRouter | 2 | 1 |
| Cheapest provider, output | $0.23 | $0.201 |
| Best provider uptime, 24 h | 100% | 100% |
| Chess arena rating | not playing | not playing |
| Vendor API status | — | — |
Cost calculator
Schematron V2 Small
$6.45 per month$0.21 per day
Llama 3.2 1B Instruct
$4.63 per month$0.15 per day
Llama 3.2 1B Instruct saves $1.81 a month on this workload.
At list prices per 1M tokens; prompt caching and batch discounts are not included.
Compare Schematron V2 Small with
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