Nemotron 3.5 Super VL vs Schematron V2 Turbo

Price, context window & benchmark comparison

NVIDIA

Nemotron 3.5 Super VL

NVIDIA
$0.15 / $0.47
Input / Output · per 1M tokens
VS
Inference Net

Schematron V2 Turbo

Inference Net
$0.03 / $0.15
Input / Output · per 1M tokens
Compare different models
NVIDIA
Inference Net
Verdict: Schematron V2 Turbo is 3.8× cheaper than Nemotron 3.5 Super VL on a typical 3:1 input/output mix. Nemotron 3.5 Super VL has the larger context window (1M vs 128K).
Nemotron 3.5 Super VLSchematron V2 Turbo
Input price / 1M$0.15$0.03
Output price / 1M$0.47$0.15
Blended price (3:1)$0.23$0.06
Cached input / 1M$0.02$0.03
Context window1M128K
Max output944K8K
Intelligence index13.6—
Coding index——
Providers10—
Best provider uptime (30m)100.0%—
Vision inputYesNo
ReasoningYesNo
Tool callingYesNo
Released2026-10-152026-09-12
Retirement——

Cost calculator

FAQ

Which is cheaper, Nemotron 3.5 Super VL or Schematron V2 Turbo?

Schematron V2 Turbo is 3.8× cheaper than Nemotron 3.5 Super VL on a typical 3:1 input/output mix.

Nemotron 3.5 Super VL vs Schematron V2 Turbo: which has a bigger context window?

Nemotron 3.5 Super VL: 1,048,576 tokens. Schematron V2 Turbo: 128,000 tokens.

How much would 1 million requests cost?

At 2,000 input + 500 output tokens per request: Nemotron 3.5 Super VL ≈ $535.00, Schematron V2 Turbo ≈ $135.00.

More comparisons