Both models report the same input price at $0.15 per 1M tokens.
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.
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).
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
KAT-Coder-Air V2.5 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Perceptron Mk1.5 | KAT-Coder-Air V2.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | KAT-Coder-Air V2.5 | $1.5 | $1.05 |
| Balanced workload | 1M input + 1M output | KAT-Coder-Air V2.5 | $1.65 | $0.75 |
| Output-heavy chatbot | 1M input + 5M output | KAT-Coder-Air V2.5 | $7.65 | $3.15 |
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).
KAT-Coder-Air V2.5 is $0.45 cheaper on the standard workload (50% lower).
Estimate your workload cost
Your Workload Cost
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
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.
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.
- 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).
| Feature | NewPerceptron 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 Window | 36.86K | 256K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | KAT-Coder-Air V2.5 | 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). |
| High-volume input processing | Tie | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | KAT-Coder-Air V2.5 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | KAT-Coder-Air V2.5 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- GLM 5.3 Flash offers 1.31M context with $0.12 sample workload cost.
- DeepSeek V4 Flash 0731 offers 1.31M context with $0.19 sample workload cost.
- GLM Flash Latest offers 1.31M context with $0.12 sample workload cost.
- DeepSeek V4 Flash Latest offers 1.31M context with $0.19 sample workload cost.
- MiMo-V2.6-Pro · Xiaomi · #1
- GLM 5.3 Flash · Z.ai · #2
- DeepSeek V4.1 Flash · DeepSeek · #3
- Hy4 preview · Tencent · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsPerceptron catalog
Review all tracked Perceptron models before deciding whether this matchup is the right shortlist.
Open Perceptron modelsKwaipilot catalog
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