API cost decision in 10 seconds

🔥GPT-6 Luna vs 🔥DeepSeek V4 Flash 0731

Pick DeepSeek V4 Flash 0731 for lower cost; pick GPT-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 DeepSeek V4 Flash 0731 for lower cost; pick GPT-6 Luna only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.34 vs $0.35 for GPT-6 Luna, saving $0.01 (4% lower).

Cost-first pickDeepSeek V4 Flash 0731
Context-first pickGPT-6 Luna
Sample savings$0.014%
10x traffic gap$0.14

GPT-6 Luna has more context, but DeepSeek V4 Flash 0731 saves $0.01 on the standard workload. At 10x that traffic, the same price gap is about $0.14. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors DeepSeek V4 Flash 0731, balanced workload favors GPT-6 Luna, and output-heavy chatbot favors GPT-6 Luna.

Workload shapeToken mixBetter pickGPT-6 LunaDeepSeek V4 Flash 0731
Input-heavy / RAG5M input + 500K outputDeepSeek V4 Flash 0731$0.75$0.4
Balanced workload1M input + 1M outputGPT-6 Luna$0.6$0.66
Output-heavy chatbot1M input + 5M outputGPT-6 Luna$2.6$3.22
Cheaper input DeepSeek V4 Flash 0731 $0.1 vs $0.016 / 1M

DeepSeek V4 Flash 0731 is $0.08 cheaper per 1M input tokens (84% lower; 6.25x difference).

Cheaper output GPT-6 Luna $0.5 vs $0.64 / 1M

GPT-6 Luna is $0.14 cheaper per 1M output tokens (21.9% lower; 1.28x difference).

Larger context GPT-6 Luna 1.05M vs 1.05M

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

Sample workload DeepSeek V4 Flash 0731 $0.35 vs $0.34

DeepSeek V4 Flash 0731 is $0.01 cheaper on the standard workload (4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-6 Luna Calculating… Estimated API cost
DeepSeek V4 Flash 0731 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

DeepSeek V4 Flash 0731 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, DeepSeek V4 Flash 0731 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.35 for GPT-6 Luna and $0.34 for DeepSeek V4 Flash 0731.

Best Fit

Choose GPT-6 Luna when you care most about lower output-token price, and larger context window.

Choose DeepSeek V4 Flash 0731 when you care most about lower input-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.34 vs $0.35 for GPT-6 Luna, saving $0.01 (4% lower).
  • DeepSeek V4 Flash 0731 is $0.01 cheaper on the standard workload (4% lower).
  • DeepSeek V4 Flash 0731 is $0.08 cheaper per 1M input tokens (84% lower; 6.25x difference).
  • GPT-6 Luna is $0.14 cheaper per 1M output tokens (21.9% lower; 1.28x difference).
  • GPT-6 Luna has 1.42K more context (1x larger).
Head-to-Head Specs
Feature🔥GPT-6 Luna
(OpenAI)
🔥DeepSeek V4 Flash 0731
(DeepSeek)
Input Price
prompt tokens per 1M
$0.1$0.016
Completion Price
per 1M tokens
$0.5$0.64
Sample Workload Cost
1M input + 500K output
$0.35$0.34
Context Window1.05M1.05M
Release Date
Popularity#7#9

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V4 Flash 0731On the standard 1M input plus 500K output workload, DeepSeek V4 Flash 0731 is estimated at $0.34 vs $0.35 for GPT-6 Luna, saving $0.01 (4% lower).
High-volume input processingDeepSeek V4 Flash 0731Lower 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.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-6 Luna when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-6 Luna when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-6 Luna when lower sample workload cost matters most: $0.06.
  • gpt-oss-20b (batch) can replace GPT-6 Luna when lower sample workload cost matters most: $0.08.
Larger context near this budget
  • No larger-context model is currently tracked within a close sample-cost band.

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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DeepSeek catalog

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

Open DeepSeek models
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...

DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....