Schematron V2 Turbo
Efficient model for low-latency assistance, extraction, and routine automation.
- Capability
- —No ECI score yet
- Input
- $0.03per 1M tokens
- Output
- $0.15per 1M tokens
- Context
- 128K8K max output
What it costs
- Input
- $0.03per million tokens
- Output
- $0.15per million tokens
- Blended (3:1)
- $0.06cheaper than 96% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $0.135 |
| Team assistant25M input + 5M output tokens | $1.50 |
| Production app250M input + 50M output tokens | $15.00 |
Median of 5 paid API providers on models.dev.
Independent benchmarks
Epoch AI has not published a Capabilities Index score for Schematron V2 Turbo yet.
The details
- Lab
- Inference.net
- Released
- Apr 16, 2026
- Context window
- 128,000 tokens
- Max output
- 8,192 tokens
- Inputs
- Text
- Output
- Text
- Reasoning
- No
- Tool calling
- No
- Structured output
- No
- Weights
- Proprietary
- Availability
- 5 API providerslisted on models.dev
More from Inference.net
About Schematron V2 Turbo
How much does Schematron V2 Turbo cost?
Schematron V2 Turbo costs $0.03 input / $0.15 output per million tokens (median across 5 API providers). At a 3:1 input-to-output mix that is $0.06 per million tokens, cheaper than 96% of the 445 priced models we track.
What is the context window of Schematron V2 Turbo?
Schematron V2 Turbo accepts up to 128,000 tokens per request and can write up to 8,192 tokens in one response.
How good is Schematron V2 Turbo?
Epoch AI has not published a Capabilities Index score for Schematron V2 Turbo yet.
Is Schematron V2 Turbo open source?
No. Schematron V2 Turbo is proprietary; you use it through an API or partner platforms.
What inputs does Schematron V2 Turbo support?
Schematron V2 Turbo accepts text and replies in text. It is not a dedicated reasoning model, does not support tool calling.
When was Schematron V2 Turbo released?
Inference.net released Schematron V2 Turbo on Apr 16, 2026.
What are the best alternatives to Schematron V2 Turbo?
The closest current models from other labs on capability, price and release date are Gemma 4 E2B IT (Google, $0.04 / $0.08), LFM2 24B A2B (Liquid AI, $0.03 / $0.12), Hy-MT2-1.8B (Tencent, $0.044 / $0.177) and Qwen3.5 4B (Alibaba (Qwen), $0.04 / $0.07).