Schematron V2 Turbo vs Sonar Deep Research
Schematron V2 Turbo costs 53.3x less per output token than Sonar Deep Research ($0.15 vs $8.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
- Coding
- No data
- Overall
- No data
- Output $/M
- $8.00
Schematron V2 Turbo or Sonar Deep Research: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Schematron V2 Turbo for output tokens 53.3x cheaper ($0.15 vs $8.00 per million).
No benchmark has tested either model yet, so price and context are the only way to compare them.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Schematron V2 Turbo
Schematron V2 Turbo $0.0001, Sonar Deep Research $0.0060 per turn.
List prices
At a glance
- Coding index
- Schematron V2 Turbo not benchmarked, Sonar Deep Research not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Schematron V2 Turbo $0.15 against Sonar Deep Research $8.00 per million output tokens, 53.3x apart.
- Context window
- Both take 128K tokens.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Schematron V2 Turbo costs less
Repository review
50K input + 3K output tokens
Schematron V2 Turbo costs less
Agent loop
200K input + 10K output tokens
Schematron V2 Turbo costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Inference.net Schematron V2 Turbo | Perplexity Sonar Deep Research |
|---|---|---|
| Maker | Inference.net | Perplexity |
| Weights | Open weights | No public weights listed |
| Released | September 12, 2026 | March 7, 2025 |
| Context window | 128K | 128K |
| Input $/Mtok | $0.03 | $2.00 |
| Output $/Mtok | $0.15 | $8.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Schematron V2 Turbo better than Sonar Deep Research for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Schematron V2 Turbo for output tokens 53.3x cheaper ($0.15 vs $8.00 per million).
Which is cheaper, Schematron V2 Turbo or Sonar Deep Research?
Schematron V2 Turbo costs $0.03 per million input tokens and $0.15 per million output tokens; Sonar Deep Research costs $2.00 and $8.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Schematron V2 Turbo or Sonar Deep Research?
Neither: both take 128K tokens.
Has any benchmark tested both Schematron V2 Turbo and Sonar Deep Research?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.