API cost decision in 10 seconds

GPT-5.6 Luna (batch) vs Nex-N2-Pro

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

On the standard 1M input plus 500K output workload, GPT-5.6 Luna (batch) is estimated at $0.4 vs $0.75 for Nex-N2-Pro, saving $0.35 (46.7% lower).

Cost-first pickGPT-5.6 Luna (batch)
Context-first pickGPT-5.6 Luna (batch)
Sample savings$0.3546.7%
10x traffic gap$3.5

GPT-5.6 Luna (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.5. 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 (batch) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.6 Luna (batch)Nex-N2-Pro
Input-heavy / RAG5M input + 500K outputGPT-5.6 Luna (batch)$0.8$1.75
Balanced workload1M input + 1M outputGPT-5.6 Luna (batch)$0.7$1.25
Output-heavy chatbot1M input + 5M outputGPT-5.6 Luna (batch)$3.1$5.25
Cheaper input GPT-5.6 Luna (batch) $0.1 vs $0.25 / 1M

GPT-5.6 Luna (batch) is $0.15 cheaper per 1M input tokens (60% lower; 2.5x difference).

Cheaper output GPT-5.6 Luna (batch) $0.6 vs $1 / 1M

GPT-5.6 Luna (batch) is $0.4 cheaper per 1M output tokens (40% lower; 1.67x difference).

Larger context GPT-5.6 Luna (batch) 1.05M vs 262.14K

GPT-5.6 Luna (batch) has 787.86K more context (4.01x larger).

Sample workload GPT-5.6 Luna (batch) $0.4 vs $0.75

GPT-5.6 Luna (batch) is $0.35 cheaper on the standard workload (46.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.6 Luna (batch) Calculating… Estimated API cost
Nex-N2-Pro 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 (batch) has the lower input price; GPT-5.6 Luna (batch) has the lower output price; GPT-5.6 Luna (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Luna (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for GPT-5.6 Luna (batch) and $0.75 for Nex-N2-Pro.

Best Fit

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

Choose Nex-N2-Pro when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-5.6 Luna (batch) is estimated at $0.4 vs $0.75 for Nex-N2-Pro, saving $0.35 (46.7% lower).
  • GPT-5.6 Luna (batch) is $0.35 cheaper on the standard workload (46.7% lower).
  • GPT-5.6 Luna (batch) is $0.15 cheaper per 1M input tokens (60% lower; 2.5x difference).
  • GPT-5.6 Luna (batch) is $0.4 cheaper per 1M output tokens (40% lower; 1.67x difference).
  • GPT-5.6 Luna (batch) has 787.86K more context (4.01x larger).
Head-to-Head Specs
FeatureGPT-5.6 Luna (batch)
(OpenAI)		Nex-N2-Pro
(Nex AGI)
Input Price
prompt tokens per 1M		$0.1$0.25
Completion Price
per 1M tokens		$0.6$1
Sample Workload Cost
1M input + 500K output		$0.4$0.75
Context Window1.05M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.6 Luna (batch)On the standard 1M input plus 500K output workload, GPT-5.6 Luna (batch) is estimated at $0.4 vs $0.75 for Nex-N2-Pro, saving $0.35 (46.7% lower).
High-volume input processingGPT-5.6 Luna (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-5.6 Luna (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Luna (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 (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Luna (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Luna (batch) when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.6 Luna (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

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OpenAI catalog

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Nex AGI catalog

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

Open Nex AGI models
GPT-5.6 Luna (batch)

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

Nex-N2-Pro

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...