API cost decision in 10 seconds

NewSchematron V2 Turbo vs Kimi K3 (batch)

Pick Schematron V2 Turbo for lower cost; pick Kimi K3 (batch) 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 Kimi K3 (batch) 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 $10.5 for Kimi K3 (batch), saving $10.39 (99% lower).

Cost-first pickSchematron V2 Turbo
Context-first pickKimi K3 (batch)
Sample savings$10.3999%
10x traffic gap$103.95

Kimi K3 (batch) has more context, but Schematron V2 Turbo saves $10.39 on the standard workload. At 10x that traffic, the same price gap is about $103.95. 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 pickSchematron V2 TurboKimi K3 (batch)
Input-heavy / RAG5M input + 500K outputSchematron V2 Turbo$0.22$22.5
Balanced workload1M input + 1M outputSchematron V2 Turbo$0.18$18
Output-heavy chatbot1M input + 5M outputSchematron V2 Turbo$0.78$78
Cheaper input Schematron V2 Turbo $0.03 vs $3 / 1M

Schematron V2 Turbo is $2.97 cheaper per 1M input tokens (99% lower; 100x difference).

Cheaper output Schematron V2 Turbo $0.15 vs $15 / 1M

Schematron V2 Turbo is $14.85 cheaper per 1M output tokens (99% lower; 100x difference).

Larger context Kimi K3 (batch) 128K vs 1.05M

Kimi K3 (batch) has 920.58K more context (8.19x larger).

Sample workload Schematron V2 Turbo $0.1 vs $10.5

Schematron V2 Turbo is $10.39 cheaper on the standard workload (99% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Schematron V2 Turbo Calculating… Estimated API cost
Kimi K3 (batch) 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; Kimi K3 (batch) 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 $0.1 for Schematron V2 Turbo and $10.5 for Kimi K3 (batch).

Best Fit

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

Choose Kimi K3 (batch) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Schematron V2 Turbo is estimated at $0.1 vs $10.5 for Kimi K3 (batch), saving $10.39 (99% lower).
  • Schematron V2 Turbo is $10.39 cheaper on the standard workload (99% lower).
  • Schematron V2 Turbo is $2.97 cheaper per 1M input tokens (99% lower; 100x difference).
  • Schematron V2 Turbo is $14.85 cheaper per 1M output tokens (99% lower; 100x difference).
  • Kimi K3 (batch) has 920.58K more context (8.19x larger).
Head-to-Head Specs
FeatureNewSchematron V2 Turbo
(Inference.net)
Kimi K3 (batch)
(MoonshotAI)
Input Price
prompt tokens per 1M
$0.03$3
Completion Price
per 1M tokens
$0.15$15
Sample Workload Cost
1M input + 500K output
$0.1$10.5
Context Window128K1.05M
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 $10.5 for Kimi K3 (batch), saving $10.39 (99% 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 workKimi K3 (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Kimi K2.7 Code (free) can replace Kimi K3 (batch) when lower sample workload cost matters most: $0.
  • Kimi K2.6 (free) can replace Kimi K3 (batch) when lower sample workload cost matters most: $0.
  • Kimi K2.5 can replace Kimi K3 (batch) when lower sample workload cost matters most: $1.57.
  • Kimi K2 0711 can replace Kimi K3 (batch) when lower sample workload cost matters most: $1.72.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Inference.net catalog

Review all tracked Inference.net models before deciding whether this matchup is the right shortlist.

Open Inference.net models

MoonshotAI catalog

Check other MoonshotAI models with comparable pricing, context, or release timing.

Open MoonshotAI models
Schematron V2 Turbo

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...

Kimi K3 (batch)

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...