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§ API model comparison

DeepSeek V4.1-Flash vs GPT-6 Luna API pricing

DeepSeek V4.1-Flash and GPT-6 Luna are two of the cheapest 1M-context models on the market. Luna has the lower base rates; DeepSeek has a much cheaper cache hit but doubles its price during weekday peak hours.

Updated November 2, 2026
§ Short answer

The short answer

GPT-6 Luna is cheaper on fresh input and output ($0.10/$0.50 vs $0.15/$0.60 off-peak), and the gap widens sharply at DeepSeek's peak rate of $0.30/$1.20. DeepSeek wins only on near-total cache reuse ($0.003 vs $0.01) or on off-peak prompts above 272K tokens.

§ Side by side

Prices and specs

DeepSeek V4.1-FlashGPT-6 Luna
ProviderDeepSeekOpenAI
TierBudgetBudget
Input / 1M tokens$0.15$0.10
Output / 1M tokens$0.60$0.50
Cache hit / 1M$0.003$0.01
Cache write / 1M—$0.125
Context window1M1M
NotesReleased Sep 10, 2026, replacing V4-Flash & V4-Flash-Vision-Exp at a lower price; off-peak rate shown. Peak (01:00-04:00 & 06:00-10:00 UTC weekdays) is 2x: $0.30/$1.20New (Sep 29, 2026 DevDay), fastest & cheapest GPT-6-family tier; >272K tokens: $0.20/$0.75, cache $0.02

GPT-6 Luna is 33% cheaper on input tokens ($0.10 vs $0.15 per 1M). GPT-6 Luna is 17% cheaper on output tokens ($0.50 vs $0.60 per 1M).

§ Cost examples

Same workload, both models

WorkloadDeepSeek V4.1-FlashGPT-6 LunaDifference
Support chatbot
10,000 conversations × (2,000 input + 400 output tokens)
$5.40$4.00GPT-6 Luna saves $1.40
Document Q&A
1,000 questions × (30,000 input + 800 output tokens)
$4.98$3.40GPT-6 Luna saves $1.58
Coding agent session
4M input tokens (90% cache hits) + 150,000 output tokens
$0.16$0.15GPT-6 Luna saves $0.01

Standard rates per 1M tokens from data on this site. The coding-agent row assumes 90% of input is read from the prompt cache (full input price where a model has no cache rate). Cache-write fees, batch discounts and long-context surcharges listed in the notes are not included. Updated November 2, 2026.

§ Verdict

Which one should you use?

Choose DeepSeek V4.1-Flash if…

your requests reuse a long cached prefix almost every time, you send prompts larger than 272K tokens, or you can schedule batch work outside DeepSeek's peak windows.

Choose GPT-6 Luna if…

you want the lowest base rate with no time-of-day pricing, your traffic is concentrated in European mornings, or you need the OpenAI SDK and Batch API.

The cache-hit exception

DeepSeek's cache hit costs $0.003 per 1M off-peak — about a third of Luna's $0.01 — and DeepSeek's pricing page lists no separate charge for writing the cache, while Luna bills $0.125 per 1M for writes. At 90% cache hits the two land close together, as the coding-agent row shows; DeepSeek only pulls ahead once hit rates pass roughly 95% at that output volume, typical of agents re-sending a long, unchanged context.

Peak hours and long prompts

On weekdays from 01:00–04:00 and 06:00–10:00 UTC, V4.1-Flash costs $0.30/$1.20 per 1M; weekends and Chinese public holidays are off-peak. Luna has no peak pricing but steps up to $0.20/$0.75 above 272K input tokens. DeepSeek lists one rate for its full 1M window, so on very long off-peak prompts V4.1-Flash is the cheaper choice on input.

Batch and replacement status

OpenAI's Batch API halves Luna's rates, which keeps Luna ahead for offline jobs. V4.1-Flash was released Sep 10, 2026, replacing V4-Flash and V4-Flash-Vision-Exp at a lower price, so older DeepSeek integrations should move to it.

§ FAQ

Frequently asked questions

Is DeepSeek V4.1-Flash cheaper than GPT-6 Luna?

Not on base rates: Luna is $0.10/$0.50 per 1M versus $0.15/$0.60 off-peak for DeepSeek. DeepSeek is cheaper on cache hits and, off-peak, on prompts over 272K tokens.

When is DeepSeek's peak pricing?

01:00–04:00 and 06:00–10:00 UTC on weekdays, excluding Chinese public holidays, when prices double.

Does GPT-6 Luna charge more for long prompts?

Yes, above 272K input tokens it bills $0.20 input, $0.75 output and $0.02 cache hits per 1M.

§ Keep reading

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How we choose: prices come from each vendor's official pricing page and are re-checked every week. We take no affiliate fees, so rankings aren't for sale.