API cost decision in 10 seconds

NewCommand A+ vs Schematron V2 Turbo

Pick Schematron V2 Turbo for lower cost; pick Command A+ only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Schematron V2 Turbo for lower cost; pick Command A+ only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $1.05 for Command A+, saving $0.95 (90% lower).

Cost-first pickSchematron V2 Turbo
Context-first pickCommand A+
Sample savings$0.9590%
10x traffic gap$9.45

Command A+ has more context, but Schematron V2 Turbo saves $0.95 on the standard workload. At 10x that traffic, the same price gap is about $9.45. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Schematron V2 Turbo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickCommand A+Schematron V2 Turbo
Input-heavy / RAG5M input + 500K outputSchematron V2 Turbo$2.25$0.22
Balanced workload1M input + 1M outputSchematron V2 Turbo$1.8$0.18
Output-heavy chatbot1M input + 5M outputSchematron V2 Turbo$7.8$0.78
Cheaper input Schematron V2 Turbo $0.3 vs $0.03 / 1M

Schematron V2 Turbo is $0.27 cheaper per 1M input tokens (90% lower; 10x difference).

Cheaper output Schematron V2 Turbo $1.5 vs $0.15 / 1M

Schematron V2 Turbo is $1.35 cheaper per 1M output tokens (90% lower; 10x difference).

Larger context Command A+ 192K vs 128K

Command A+ has 64K more context (1.5x larger).

Sample workload Schematron V2 Turbo $1.05 vs $0.1

Schematron V2 Turbo is $0.95 cheaper on the standard workload (90% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Command A+ Calculating… Estimated API cost
Schematron V2 Turbo Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Schematron V2 Turbo has the lower input price; Schematron V2 Turbo has the lower output price; Command A+ offers the larger context window. For the 1M input plus 500K output sample, Schematron V2 Turbo is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.05 for Command A+ and $0.1 for Schematron V2 Turbo.

Best Fit

Choose Command A+ when you care most about larger context window.

Choose Schematron V2 Turbo when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $1.05 for Command A+, saving $0.95 (90% lower).
  • Schematron V2 Turbo is $0.95 cheaper on the standard workload (90% lower).
  • Schematron V2 Turbo is $0.27 cheaper per 1M input tokens (90% lower; 10x difference).
  • Schematron V2 Turbo is $1.35 cheaper per 1M output tokens (90% lower; 10x difference).
  • Command A+ has 64K more context (1.5x larger).
Head-to-Head Specs
FeatureNewCommand A+
(Cohere)
Schematron V2 Turbo
(Inference.net)
Input Price
prompt tokens per 1M
$0.3$0.03
Completion Price
per 1M tokens
$1.5$0.15
Sample Workload Cost
1M input + 500K output
$1.05$0.1
Context Window192K128K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSchematron V2 TurboOn the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $1.05 for Command A+, saving $0.95 (90% lower).
High-volume input processingSchematron V2 TurboLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsSchematron V2 TurboLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workCommand A+A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Cohere catalog

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Inference.net catalog

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Command A+

Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...

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