2026 Audit Report

Step-2 Pro vs SenseNova 6

Is Step-2 Pro worth the premium? Our automated audit reveals a 6% cost difference in production environments.

Last updated: Sep 21, 2026Sources: AxiomGrid Model Wiki · Provider pricing pagesQuality: HIGH

Axiom Verdict

"The price gap is minimal (6.3%). Choice should depend on latency requirements, regional availability, and your existing data gravity with SenseTime."

Key Metrics

Axiom Snapshot
MetricStep-2 ProSenseNova 6
Input / 1M¥1.08¥1.15
Output / 1M¥2.16¥2.30
Cache Read¥0.22¥0.79
Context Window1M128K
Max Output8K4K
MultimodalYesYes
LatencyTBDTBD
Best FitVisionSmart City

Action Plan

  • Use performance benchmarks to decide based on latency and availability.
  • Negotiate volume discounts with 01.AI or SenseTime.
  • Re-evaluate pricing monthly and update routing thresholds.

Methodology

  • Pricing is normalized to cost per 1M input/output tokens for direct comparison.
  • Arbitrage gap compares current input pricing against the higher-priced model.
  • Quality tier reflects pricing completeness, context window, and use-case coverage.

Pricing Matrix

MetricStep-2 ProSenseNova 6
Input / 1M¥1.08¥1.15
Output / 1M¥2.16¥2.30
Cache Read¥0.22¥0.79

Use Case Analysis

Step-2 Pro Wins
  • Vision
SenseNova 6 Wins
  • Smart City

FAQ

Which model is cheaper: Step-2 Pro or SenseNova 6?
SenseNova 6 shows a 6% cost advantage based on current input pricing.
When should I choose Step-2 Pro?
Step-2 Pro is best for Vision.
How does the context window compare?
Step-2 Pro supports 1M context vs SenseNova 6 at 128K.
Which model is better for high-volume routing?
Both models are close in price; choose based on latency and availability.
Do cache discounts materially change costs?
Yes. Cache pricing can shift effective input costs by 10-90% depending on hit rate.
How often is this comparison updated?
This audit refreshes as model pricing changes. Last updated Sep 21, 2026.

Performance Radar

Step-2 Pro
SenseNova 6

Cost Scaling (Monthly)

Step-2 Pro vs SenseNova 6: 2026 Cost Audit | AxiomGrid