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Cost and performance comparison

GPT-6 Luna vs DeepSeek V4.1 Flash

Model AOpenAI

GPT-6 Luna

Capability score (editorial)87/100
Cost / 1M Tokens
$0.22
70% in · 30% out mix
Value Index (score÷cost)
395.5
Higher = better value
Speed
97/100
Context
1.1M
Tier
Fast Tier

List price from the OpenAI pricing page, verified October 12, 2026.

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How we verify prices

Model BDeepSeek

DeepSeek V4.1 Flash

Capability score (editorial)89/100
Cost / 1M Tokens
$0.57
70% in · 30% out mix
Value Index (score÷cost)
153.1
Higher = better value
Speed
93/100
Context
1.0M
Tier
Fast Tier

List price from the DeepSeek pricing page, verified October 12, 2026.

Across the 25 languages we measured, it needs about 21% more tokens than OpenAI's for the same text. Costs by language

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How we verify prices

In-depth analysis

GPT-6 Luna vs DeepSeek V4.1 Flash: Detailed Comparison

GPT-6 Luna is OpenAI's lightweight-tier language model with a 1.1M-token context window, excelling at data extraction. DeepSeek V4.1 Flash from DeepSeek is a lightweight-tier model supporting 1.0M tokens in context, with standout performance in reasoning.

DeepSeek V4.1 Flash costs 2.6x what GPT-6 Luna does for the same text. That is a steep premium, and it buys a 4-point lead on combined coding and reasoning. Whether that trade is worth it depends entirely on how much of your traffic actually needs the harder model — for most workloads the honest answer is a small fraction of it, which is an argument for routing rather than for picking one. GPT-6 Luna is priced at $0.10/M input tokens and $0.50/M output tokens. DeepSeek V4.1 Flash costs $0.30/M input and $1.20/M output.

On iOPTERA's editorial scores, DeepSeek V4.1 Flash leads with 88/100 for coding and 89/100 for reasoning, against GPT-6 Luna's 86/100 and 87/100.

Capability breakdown

Across the five core benchmark categories, here is how GPT-6 Luna and DeepSeek V4.1 Flash stack up head to head:

coding
86
88
reasoning
87
89
data extraction
92
88
creative tasks
84
84
vision/multimodal
86
0

Best model by task

  • coding: DeepSeek V4.1 Flash wins with 88/100
  • reasoning: DeepSeek V4.1 Flash wins with 89/100
  • data extraction: GPT-6 Luna wins with 92/100
  • vision/multimodal: GPT-6 Luna wins with 86/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), GPT-6 Luna runs about $2.00 while DeepSeek V4.1 Flash runs about $5.51 — GPT-6 Luna saves roughly $3.51 (64%) every month.

What actually decides it

GPT-6 Luna and DeepSeek V4.1 Flash come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

GPT-6 Luna and DeepSeek V4.1 Flash were released within 0 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

Context is effectively a tie: 1.1M against 1.0M. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.

Throughput is close enough to ignore — 97/100 versus 93/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

One practical asymmetry: GPT-6 Luna offers a batch API at 50% off standard rates, and DeepSeek V4.1 Flash does not. For anything that does not need an answer immediately — nightly enrichment, backfills, evaluation runs — that discount can be worth more than the difference in list price, and it is easy to overlook when comparing headline rates.

DeepSeek V4.1 Flash is 2.6x the price of GPT-6 Luna. Reserve it for the requests that actually need it and route the rest to GPT-6 Luna — that hybrid beats either model used alone on cost per useful answer.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing termGPT-6 LunaDeepSeek V4.1 Flash
List price (input / output)$0.10 / $0.50$0.30 / $1.20
Cached input$0.0110% of the input price$0.0062% of the input price
Batch API50% off input and outputNot on the price page
Long promptsOver 272K tokens: $0.20 / $0.75No surcharge across the 1M window
Off-peakNot on the price page50% off outside 01:00–04:00, 06:00–10:00 UTC on weekdays
Input with 80% cache hits$0.028$0.065

With 80% of input served from the cache, GPT-6 Luna costs 58% less than DeepSeek V4.1 Flash for the same input text, counting each model's tokenizer.

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Checked on October 8, 2026 against the pricing pages of OpenAI, DeepSeek.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryGPT-6 LunaDeepSeek V4.1Winner

Coding

86
88
B

Reasoning

87
89
B

Extraction

92
88
A

Creative

84
84
Tied

Vision

86
0
A
GPT-6 Luna: 2 wins
DeepSeek V4.1 Flash: 2 wins

Speed Score

97/100vs93/100
GPT-6DeepSeek

Context Window

1050Kvs1000K
GPT-6DeepSeek

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens
GPT-6 Luna
$0.04
DeepSeek V4.1 Flash
$0.12

Business email

One typical email (~200 words)

~270 tokens
GPT-6 Luna
$2.70
DeepSeek V4.1 Flash
$8.26

Code file

50-line Python script

~400 tokens
GPT-6 Luna
$4.00
DeepSeek V4.1 Flash
$12.24

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-6 Luna and DeepSeek V4.1 Flash, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

30M tokens
Prompt 70%Completion 30%
Cheaper

GPT-6 Luna

$6.60/mo

$79.20/yr

$0.10/M input$0.50/M output

DeepSeek V4.1 Flash

$17.44/mo

$209.30/yr

$0.30/M input$1.20/M output

Annual Savings

$130.10 saved per year

GPT-6 Luna cheaper · $10.84/mo

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