API cost decision in 10 seconds

KAT-Coder-Air V2.5 vs GPT-5.6 Luna Pro (batch)

Pick GPT-5.6 Luna Pro (batch) 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 GPT-5.6 Luna Pro (batch) when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $0.45 for KAT-Coder-Air V2.5, saving $0.05 (11.1% lower).

Cost-first pickGPT-5.6 Luna Pro (batch)
Context-first pickGPT-5.6 Luna Pro (batch)
Sample savings$0.0511.1%
10x traffic gap$0.5

GPT-5.6 Luna Pro (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5.6 Luna Pro (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickKAT-Coder-Air V2.5GPT-5.6 Luna Pro (batch)
Input-heavy / RAG5M input + 500K outputGPT-5.6 Luna Pro (batch)$1.05$0.8
Balanced workload1M input + 1M outputGPT-5.6 Luna Pro (batch)$0.75$0.7
Output-heavy chatbot1M input + 5M outputGPT-5.6 Luna Pro (batch)$3.15$3.1
Cheaper input GPT-5.6 Luna Pro (batch) $0.15 vs $0.1 / 1M

GPT-5.6 Luna Pro (batch) is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).

Cheaper output Tie $0.6 vs $0.6 / 1M

Both models report the same output price at $0.6 per 1M tokens.

Larger context GPT-5.6 Luna Pro (batch) 256K vs 1.05M

GPT-5.6 Luna Pro (batch) has 794K more context (4.1x larger).

Sample workload GPT-5.6 Luna Pro (batch) $0.45 vs $0.4

GPT-5.6 Luna Pro (batch) is $0.05 cheaper on the standard workload (11.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
KAT-Coder-Air V2.5 Calculating… Estimated API cost
GPT-5.6 Luna Pro (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

GPT-5.6 Luna Pro (batch) has the lower input price; both models tie on output price; GPT-5.6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Luna Pro (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for KAT-Coder-Air V2.5 and $0.4 for GPT-5.6 Luna Pro (batch).

Best Fit

Choose KAT-Coder-Air V2.5 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-5.6 Luna Pro (batch) when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $0.45 for KAT-Coder-Air V2.5, saving $0.05 (11.1% lower).
  • GPT-5.6 Luna Pro (batch) is $0.05 cheaper on the standard workload (11.1% lower).
  • GPT-5.6 Luna Pro (batch) is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
  • Both models report the same output price at $0.6 per 1M tokens.
  • GPT-5.6 Luna Pro (batch) has 794K more context (4.1x larger).
Head-to-Head Specs
FeatureKAT-Coder-Air V2.5
(Kwaipilot)		GPT-5.6 Luna Pro (batch)
(OpenAI)
Input Price
prompt tokens per 1M		$0.15$0.1
Completion Price
per 1M tokens		$0.6$0.6
Sample Workload Cost
1M input + 500K output		$0.45$0.4
Context Window256K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.6 Luna Pro (batch)On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $0.45 for KAT-Coder-Air V2.5, saving $0.05 (11.1% lower).
High-volume input processingGPT-5.6 Luna Pro (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTieLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Luna Pro (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.6 Luna Pro (batch) when lower sample workload cost matters most: $0.12.

Cheaper alternatives

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

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Larger context alternatives

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

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Provider catalogs

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

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Kwaipilot catalog

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

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OpenAI catalog

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

Open OpenAI models
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...

GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode