Claude Haiku 4.5 vs Schematron V2 Turbo
Side-by-side API pricing and Artificial Analysis performance for Claude Haiku 4.5 (Anthropic) and Schematron V2 Turbo (Inference Net). Green cells mark the better value in each row.
Prices updated Sep 16, 2026, 9:56 AM UTC · refreshed hourly
| Claude Haiku 4.5 Anthropic | Schematron V2 Turbo Inference Net | |
|---|---|---|
| Pricing | ||
| Input $/1M | $1.00 | $0.03 |
| Output $/1M | $5.00 | $0.15 |
| Blended $/1M (3:1) | $2.00 | $0.06 |
| RAG example (30K in / 2K out) | $0.04 | $0.0012 |
| Quality & speed | ||
| Intelligence Index | 17.6 | — |
| Coding Index | 43.9 | — |
| Agentic Index | 10.3 | — |
| Output speed (tok/s) | — | — |
| Time to first token | — | — |
| Specs | ||
| Context window | 200K | 128K |
| Input modalities | text, image, file | text |
FAQ
Which is cheaper, Claude Haiku 4.5 or Schematron V2 Turbo?
Schematron V2 Turbo has the lower blended API price at $0.06 per 1M tokens (3:1 input:output mix), versus $2.00 for the other model. Prices are live from OpenRouter and refresh about hourly.
Which is better for RAG workloads?
For a typical RAG request (30K input / 2K output tokens), Schematron V2 Turbo costs about $0.0012 per request versus $0.04. Also compare context windows: Claude Haiku 4.5 offers 200K and Schematron V2 Turbo offers 128K.
Which scores higher on Artificial Analysis benchmarks?
Claude Haiku 4.5 leads on the Artificial Analysis Intelligence Index (17.6 vs —). Check coding and agentic indices on this page for workload-specific tradeoffs.