API cost decision in 10 seconds

NewPerceptron Mk1.5 vs KAT-Coder-Air V2.5

Pick KAT-Coder-Air V2.5 when budget and context both matter.

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

Budget verdict

Pick KAT-Coder-Air V2.5 when budget and context both matter.

On the standard 1M input plus 500K output workload, KAT-Coder-Air V2.5 is estimated at $0.45 vs $0.9 for Perceptron Mk1.5, saving $0.45 (50% lower).

Cost-first pickKAT-Coder-Air V2.5
Context-first pickKAT-Coder-Air V2.5
Sample savings$0.4550%
10x traffic gap$4.5

KAT-Coder-Air V2.5 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

KAT-Coder-Air V2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickPerceptron Mk1.5KAT-Coder-Air V2.5
Input-heavy / RAG5M input + 500K outputKAT-Coder-Air V2.5$1.5$1.05
Balanced workload1M input + 1M outputKAT-Coder-Air V2.5$1.65$0.75
Output-heavy chatbot1M input + 5M outputKAT-Coder-Air V2.5$7.65$3.15
Cheaper input Tie $0.15 vs $0.15 / 1M

Both models report the same input price at $0.15 per 1M tokens.

Cheaper output KAT-Coder-Air V2.5 $1.5 vs $0.6 / 1M

KAT-Coder-Air V2.5 is $0.9 cheaper per 1M output tokens (60% lower; 2.5x difference).

Larger context KAT-Coder-Air V2.5 36.86K vs 256K

KAT-Coder-Air V2.5 has 219.14K more context (6.94x larger).

Sample workload KAT-Coder-Air V2.5 $0.9 vs $0.45

KAT-Coder-Air V2.5 is $0.45 cheaper on the standard workload (50% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Perceptron Mk1.5 Calculating… Estimated API cost
KAT-Coder-Air V2.5 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

both models tie on input price; KAT-Coder-Air V2.5 has the lower output price; KAT-Coder-Air V2.5 offers the larger context window. For the 1M input plus 500K output sample, KAT-Coder-Air V2.5 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.9 for Perceptron Mk1.5 and $0.45 for KAT-Coder-Air V2.5.

Best Fit

Choose Perceptron Mk1.5 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose KAT-Coder-Air V2.5 when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, KAT-Coder-Air V2.5 is estimated at $0.45 vs $0.9 for Perceptron Mk1.5, saving $0.45 (50% lower).
  • KAT-Coder-Air V2.5 is $0.45 cheaper on the standard workload (50% lower).
  • Both models report the same input price at $0.15 per 1M tokens.
  • KAT-Coder-Air V2.5 is $0.9 cheaper per 1M output tokens (60% lower; 2.5x difference).
  • KAT-Coder-Air V2.5 has 219.14K more context (6.94x larger).
Head-to-Head Specs
FeatureNewPerceptron Mk1.5
(Perceptron)
KAT-Coder-Air V2.5
(Kwaipilot)
Input Price
prompt tokens per 1M
$0.15$0.15
Completion Price
per 1M tokens
$1.5$0.6
Sample Workload Cost
1M input + 500K output
$0.9$0.45
Context Window36.86K256K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionKAT-Coder-Air V2.5On the standard 1M input plus 500K output workload, KAT-Coder-Air V2.5 is estimated at $0.45 vs $0.9 for Perceptron Mk1.5, saving $0.45 (50% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsKAT-Coder-Air V2.5Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workKAT-Coder-Air V2.5A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.

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

Perceptron catalog

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

Open Perceptron models

Kwaipilot catalog

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

Open Kwaipilot models
Perceptron Mk1.5

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

KAT-Coder-Air V2.5

KAT-Coder-Air V2.5 is a flagship-level Agentic Coding model that can directly hand over an entire issue or an entire business workflow to it, allowing it to autonomously locate and make...