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-3.1-8B-Instruct
meta-llama/Llama-3.1-8B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Model details →Side-by-side comparison
| Capability | Inference.net: Schematron V2 Turbo | meta-llama/Llama-3.1-8B-Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 meta-llama/Llama-3.1-8B-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 | $0.08 | 🏆 meta-llama/Llama-3.1-8B-Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 meta-llama/Llama-3.1-8B-Instruct |
| 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-3.1-8B-Instruct?
meta-llama/Llama-3.1-8B-Instruct wins on 3 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-3.1-8B-Instruct?
Input: $0.03 vs $0.05 per 1M tokens. Output: $0.15 vs $0.08 per 1M tokens.
What context windows do Inference.net: Schematron V2 Turbo and meta-llama/Llama-3.1-8B-Instruct support?
Inference.net: Schematron V2 Turbo supports up to 128K tokens. meta-llama/Llama-3.1-8B-Instruct supports up to 131K tokens.
Do both Inference.net: Schematron V2 Turbo and meta-llama/Llama-3.1-8B-Instruct support tool calling?
Inference.net: Schematron V2 Turbo: not advertised. meta-llama/Llama-3.1-8B-Instruct: yes.