API cost decision in 10 seconds

🔥DeepSeek V4.1 Flash vs NewGPT-6 Luna

Pick GPT-6 Luna 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-6 Luna when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $0.45 for DeepSeek V4.1 Flash, saving $0.1 (22.2% lower).

Cost-first pickGPT-6 Luna
Context-first pickGPT-6 Luna
Sample savings$0.122.2%
10x traffic gap$1

GPT-6 Luna is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-6 Luna stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4.1 FlashGPT-6 Luna
Input-heavy / RAG5M input + 500K outputGPT-6 Luna$1.05$0.75
Balanced workload1M input + 1M outputGPT-6 Luna$0.75$0.6
Output-heavy chatbot1M input + 5M outputGPT-6 Luna$3.15$2.6
Cheaper input GPT-6 Luna $0.15 vs $0.1 / 1M

GPT-6 Luna is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).

Cheaper output GPT-6 Luna $0.6 vs $0.5 / 1M

GPT-6 Luna is $0.1 cheaper per 1M output tokens (16.7% lower; 1.2x difference).

Larger context GPT-6 Luna 1.05M vs 1.05M

GPT-6 Luna has 1.42K more context (1x larger).

Sample workload GPT-6 Luna $0.45 vs $0.35

GPT-6 Luna is $0.1 cheaper on the standard workload (22.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4.1 Flash Calculating… Estimated API cost
GPT-6 Luna 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-6 Luna has the lower input price; GPT-6 Luna has the lower output price; GPT-6 Luna offers the larger context window. For the 1M input plus 500K output sample, GPT-6 Luna is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for DeepSeek V4.1 Flash and $0.35 for GPT-6 Luna.

Best Fit

Choose DeepSeek V4.1 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-6 Luna 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-6 Luna is estimated at $0.35 vs $0.45 for DeepSeek V4.1 Flash, saving $0.1 (22.2% lower).
  • GPT-6 Luna is $0.1 cheaper on the standard workload (22.2% lower).
  • GPT-6 Luna is $0.05 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
  • GPT-6 Luna is $0.1 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
  • GPT-6 Luna has 1.42K more context (1x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4.1 Flash
(DeepSeek)
NewGPT-6 Luna
(OpenAI)
Input Price
prompt tokens per 1M
$0.15$0.1
Completion Price
per 1M tokens
$0.6$0.5
Sample Workload Cost
1M input + 500K output
$0.45$0.35
Context Window1.05M1.05M
Release Date
Popularity#3

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-6 LunaOn the standard 1M input plus 500K output workload, GPT-6 Luna is estimated at $0.35 vs $0.45 for DeepSeek V4.1 Flash, saving $0.1 (22.2% lower).
High-volume input processingGPT-6 LunaLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT-6 LunaLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-6 LunaA larger context window leaves more room for retrieved passages, conversation history, or source files.

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DeepSeek catalog

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OpenAI catalog

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DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...

GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...