API cost decision in 10 seconds

Inkling vs GPT-5.6 Luna Pro

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

On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $3.02 for Inkling, saving $2.22 (73.6% lower).

Cost-first pickGPT-5.6 Luna Pro
Context-first pickGPT-5.6 Luna Pro
Sample savings$2.2273.6%
10x traffic gap$22.25

GPT-5.6 Luna Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $22.25. 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 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickInklingGPT-5.6 Luna Pro
Input-heavy / RAG5M input + 500K outputGPT-5.6 Luna Pro$7.03$1.6
Balanced workload1M input + 1M outputGPT-5.6 Luna Pro$5.05$1.4
Output-heavy chatbot1M input + 5M outputGPT-5.6 Luna Pro$21.25$6.2
Cheaper input GPT-5.6 Luna Pro $1 vs $0.2 / 1M

GPT-5.6 Luna Pro is $0.8 cheaper per 1M input tokens (80% lower; 5x difference).

Cheaper output GPT-5.6 Luna Pro $4.05 vs $1.2 / 1M

GPT-5.6 Luna Pro is $2.85 cheaper per 1M output tokens (70.4% lower; 3.38x difference).

Larger context GPT-5.6 Luna Pro 1.05M vs 1.05M

GPT-5.6 Luna Pro has 1.42K more context (1x larger).

Sample workload GPT-5.6 Luna Pro $3.02 vs $0.8

GPT-5.6 Luna Pro is $2.22 cheaper on the standard workload (73.6% lower).

Estimate your workload cost

Your Workload Cost

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

For a 1M input token plus 500K output token workload, the estimated API cost is $3.02 for Inkling and $0.8 for GPT-5.6 Luna Pro.

Best Fit

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

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

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $3.02 for Inkling, saving $2.22 (73.6% lower).
  • GPT-5.6 Luna Pro is $2.22 cheaper on the standard workload (73.6% lower).
  • GPT-5.6 Luna Pro is $0.8 cheaper per 1M input tokens (80% lower; 5x difference).
  • GPT-5.6 Luna Pro is $2.85 cheaper per 1M output tokens (70.4% lower; 3.38x difference).
  • GPT-5.6 Luna Pro has 1.42K more context (1x larger).
Head-to-Head Specs
FeatureInkling
(Thinking Machines)
GPT-5.6 Luna Pro
(OpenAI)
Input Price
prompt tokens per 1M
$1$0.2
Completion Price
per 1M tokens
$4.05$1.2
Sample Workload Cost
1M input + 500K output
$3.02$0.8
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.6 Luna ProOn the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro is estimated at $0.8 vs $3.02 for Inkling, saving $2.22 (73.6% lower).
High-volume input processingGPT-5.6 Luna ProLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-5.6 Luna ProLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Luna ProA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Inkling Small (free) can replace Inkling when lower sample workload cost matters most: $0.
  • Inkling (free) can replace Inkling when lower sample workload cost matters most: $0.
  • Inkling Small can replace Inkling when lower sample workload cost matters most: $1.05.
  • gpt-oss-120b (free) can replace GPT-5.6 Luna Pro when lower sample workload cost matters most: $0.

Cheaper alternatives

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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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Thinking Machines catalog

Review all tracked Thinking Machines 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
Inkling

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

GPT-5.6 Luna Pro

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