API cost decision in 10 seconds

🔥GPT-5.6 Luna vs NewSolar Mini 4

Pick Solar Mini 4 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 Solar Mini 4 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, Solar Mini 4 is estimated at $0.15 vs $0.8 for GPT-5.6 Luna, saving $0.65 (81.2% lower).

Cost-first pickSolar Mini 4
Context-first pickGPT-5.6 Luna
Sample savings$0.6581.2%
10x traffic gap$6.5

GPT-5.6 Luna has more context, but Solar Mini 4 saves $0.65 on the standard workload. At 10x that traffic, the same price gap is about $6.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Solar Mini 4 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT-5.6 LunaSolar Mini 4
Input-heavy / RAG5M input + 500K outputSolar Mini 4$1.6$0.35
Balanced workload1M input + 1M outputSolar Mini 4$1.4$0.25
Output-heavy chatbot1M input + 5M outputSolar Mini 4$6.2$1.05
Cheaper input Solar Mini 4 $0.2 vs $0.05 / 1M

Solar Mini 4 is $0.15 cheaper per 1M input tokens (75% lower; 4x difference).

Cheaper output Solar Mini 4 $1.2 vs $0.2 / 1M

Solar Mini 4 is $1 cheaper per 1M output tokens (83.3% lower; 6x difference).

Larger context GPT-5.6 Luna 1.05M vs 524.29K

GPT-5.6 Luna has 525.71K more context (2x larger).

Sample workload Solar Mini 4 $0.8 vs $0.15

Solar Mini 4 is $0.65 cheaper on the standard workload (81.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.6 Luna Calculating… Estimated API cost
Solar Mini 4 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

Solar Mini 4 has the lower input price; Solar Mini 4 has the lower output price; GPT-5.6 Luna offers the larger context window. For the 1M input plus 500K output sample, Solar Mini 4 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 $0.15 for Solar Mini 4.

Best Fit

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

Choose Solar Mini 4 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, Solar Mini 4 is estimated at $0.15 vs $0.8 for GPT-5.6 Luna, saving $0.65 (81.2% lower).
  • Solar Mini 4 is $0.65 cheaper on the standard workload (81.2% lower).
  • Solar Mini 4 is $0.15 cheaper per 1M input tokens (75% lower; 4x difference).
  • Solar Mini 4 is $1 cheaper per 1M output tokens (83.3% lower; 6x difference).
  • GPT-5.6 Luna has 525.71K more context (2x larger).
Head-to-Head Specs
Feature🔥GPT-5.6 Luna
(OpenAI)
NewSolar Mini 4
(Upstage)
Input Price
prompt tokens per 1M
$0.2$0.05
Completion Price
per 1M tokens
$1.2$0.2
Sample Workload Cost
1M input + 500K output
$0.8$0.15
Context Window1.05M524.29K
Release Date
Popularity#5

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionSolar Mini 4On the standard 1M input plus 500K output workload, Solar Mini 4 is estimated at $0.15 vs $0.8 for GPT-5.6 Luna, saving $0.65 (81.2% lower).
High-volume input processingSolar Mini 4Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsSolar Mini 4Lower 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: $0.06.
  • gpt-oss-20b (batch) can replace GPT-5.6 Luna when lower sample workload cost matters most: $0.08.

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

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

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Upstage catalog

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

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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...

Solar Mini 4

Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic use cases where response...