Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather…
Model details →Inference.net: Schematron V2 Turbo vs meta-llama/Llama-3.2-3B-Instruct
Inference.net: Schematron V2 Turbo wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it.…
Model details →Side-by-side comparison
| Capability | Inference.net: Schematron V2 Turbo | meta-llama/Llama-3.2-3B-Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 meta-llama/Llama-3.2-3B-Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.03 | $0.05 | 🏆 Inference.net: Schematron V2 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.15 | $0.33 | 🏆 Inference.net: Schematron V2 Turbo |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Inference.net: Schematron V2 Turbo better than meta-llama/Llama-3.2-3B-Instruct?
Inference.net: Schematron V2 Turbo wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Inference.net: Schematron V2 Turbo and meta-llama/Llama-3.2-3B-Instruct?
Input: $0.03 vs $0.05 per 1M tokens. Output: $0.15 vs $0.33 per 1M tokens.
What context windows do Inference.net: Schematron V2 Turbo and meta-llama/Llama-3.2-3B-Instruct support?
Inference.net: Schematron V2 Turbo supports up to 128K tokens. meta-llama/Llama-3.2-3B-Instruct supports up to 131K tokens.
Do both Inference.net: Schematron V2 Turbo and meta-llama/Llama-3.2-3B-Instruct support tool calling?
Inference.net: Schematron V2 Turbo: not advertised. meta-llama/Llama-3.2-3B-Instruct: not advertised.