API cost decision in 10 seconds

🔥GPT-5.6 Luna vs NewUnion Alpha

Pick Union Alpha for lower cost; pick GPT-5.6 Luna 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 Union Alpha for lower cost; pick GPT-5.6 Luna only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Union Alpha is estimated at $0 vs $0.8 for GPT-5.6 Luna, saving $0.8 (100% lower).

Cost-first pickUnion Alpha
Context-first pickGPT-5.6 Luna
Sample savings$0.8100%
10x traffic gap$8

GPT-5.6 Luna has more context, but Union Alpha saves $0.8 on the standard workload. At 10x that traffic, the same price gap is about $8. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Union Alpha stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.6 LunaUnion Alpha
Input-heavy / RAG5M input + 500K outputUnion Alpha$1.6$0
Balanced workload1M input + 1M outputUnion Alpha$1.4$0
Output-heavy chatbot1M input + 5M outputUnion Alpha$6.2$0
Cheaper input Union Alpha $0.2 vs $0 / 1M

Union Alpha is free for input tokens while GPT-5.6 Luna costs $0.2 per 1M tokens.

Cheaper output Union Alpha $1.2 vs $0 / 1M

Union Alpha is free for output tokens while GPT-5.6 Luna costs $1.2 per 1M tokens.

Larger context GPT-5.6 Luna 1.05M vs 262.14K

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

Sample workload Union Alpha $0.8 vs $0

Union Alpha is free for the standard workload while the other model is estimated at $0.8.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.6 Luna Calculating… Estimated API cost
Union Alpha 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

Union Alpha has the lower input price; Union Alpha has the lower output price; GPT-5.6 Luna offers the larger context window. For the 1M input plus 500K output sample, Union Alpha is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.8 for GPT-5.6 Luna and $0 for Union Alpha.

Best Fit

Choose GPT-5.6 Luna when you care most about larger context window.

Choose Union Alpha when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Union Alpha is estimated at $0 vs $0.8 for GPT-5.6 Luna, saving $0.8 (100% lower).
  • Union Alpha is free for the standard workload while the other model is estimated at $0.8.
  • Union Alpha is free for input tokens while GPT-5.6 Luna costs $0.2 per 1M tokens.
  • Union Alpha is free for output tokens while GPT-5.6 Luna costs $1.2 per 1M tokens.
  • GPT-5.6 Luna has 787.86K more context (4.01x larger).
Head-to-Head Specs
Feature🔥GPT-5.6 Luna
(OpenAI)
NewUnion Alpha
(stealth)
Input Price
prompt tokens per 1M
$0.2$0
Completion Price
per 1M tokens
$1.2$0
Sample Workload Cost
1M input + 500K output
$0.8$0
Context Window1.05M262.14K
Release Date
Popularity#2

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionUnion AlphaOn the standard 1M input plus 500K output workload, Union Alpha is estimated at $0 vs $0.8 for GPT-5.6 Luna, saving $0.8 (100% lower).
High-volume input processingUnion AlphaLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsUnion AlphaLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 LunaA 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 when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Luna when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Luna when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.6 Luna 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.

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

OpenAI catalog

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

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stealth catalog

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

Open stealth models
GPT-5.6 Luna

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...

Union Alpha

Union Alpha is a multimodal model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. Union Alpha is a stealth model....