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Model comparison - Open weights vs closed

DeepSeek V4.1 Flash vs GPT-6 Luna

DeepSeek V4.1 Flash is from DeepSeek and GPT-6 Luna is from OpenAI. On list price, DeepSeek V4.1 Flash charges 3x GPT-6 Luna's input price ($0.30 vs $0.10 per 1M tokens), and DeepSeek V4.1 Flash charges 2.4x GPT-6 Luna's output price ($1.20 vs $0.50 per 1M tokens). DeepSeek V4.1 Flash has a 1,000,000-token context window and GPT-6 Luna 1,050,000 tokens; max output is 393,216 and 128,000 tokens per response. DeepSeek V4.1 Flash was released on September 10, 2026 and GPT-6 Luna on September 22, 2026. DeepSeek V4.1 Flash publishes open weights (MIT); GPT-6 Luna is closed-weights.

Last verified from each provider's pricing page. All sources

DeepSeek - Open

DeepSeek V4.1 Flash
Input / 1M
$0.30
Output / 1M
$1.20
Context
1M

OpenAI - Closed

GPT-6 Luna
Input / 1M
$0.10
Output / 1M
$0.50
Context
1.05M

Side-by-side specs

SpecDeepSeek V4.1 FlashGPT-6 Luna
ProviderDeepSeekOpenAI
Input / 1M tokens$0.30$0.10
Output / 1M tokens$1.20$0.50
Cache read / 1M$0.006$0.01
Cache write / 1M-$0.125
Batch input / 1M-$0.05
Batch output / 1M-$0.25
Long-context rates above-272,000 tokens
Context window1,000,0001,050,000
Max output393,216128,000
Release date
WeightsOpenClosed
LicenseMIT-
API model iddeepseek-flashgpt-6-luna
AI Gateway iddeepseek/deepseek-v4.1-flash-1017openai/gpt-6-luna
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadDeepSeek V4.1 FlashGPT-6 Luna
One agent session1M input tokens and 100K output tokens, no caching.$0.42$0.15
A chat app10,000 requests a day at 2K input and 500 output tokens each.$12.00$360.00 per 30-day month$4.50$135.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$0.1554$0.069
Show the math

DeepSeek V4.1 Flash

  • One agent sessionInput: 1M x $0.30 = $0.30Output: 0.1M x $1.20 = $0.12
  • A chat appInput: 20M x $0.30 = $6.00Output: 5M x $1.20 = $6.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.006 = $0.0054Uncached input: 0.1M x $0.30 = $0.03Output: 0.1M x $1.20 = $0.12

GPT-6 Luna

  • One agent sessionInput: 1M x $0.10 = $0.10Output: 0.1M x $0.50 = $0.05
  • A chat appInput: 20M x $0.10 = $2.00Output: 5M x $0.50 = $2.50
  • The same session at a 90% cache hitCached input: 0.9M x $0.01 = $0.009Uncached input: 0.1M x $0.10 = $0.01Output: 0.1M x $0.50 = $0.05

Benchmarks under the same setting

No board in the benchmark directory lists both DeepSeek V4.1 Flash and GPT-6 Luna under the same setting, so there is no like-for-like score to show here.

Set them up in your tools

Step-by-step guides whose official docs list DeepSeek V4.1 Flash or GPT-6 Luna by model id.

Model pages

FAQ

How do DeepSeek V4.1 Flash and GPT-6 Luna compare on price?

On list price, DeepSeek V4.1 Flash charges 3x GPT-6 Luna's input price ($0.30 vs $0.10 per 1M tokens), and DeepSeek V4.1 Flash charges 2.4x GPT-6 Luna's output price ($1.20 vs $0.50 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $0.42 on DeepSeek V4.1 Flash and $0.15 on GPT-6 Luna. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of DeepSeek V4.1 Flash and GPT-6 Luna?

DeepSeek V4.1 Flash has a 1,000,000-token context window and GPT-6 Luna 1,050,000 tokens; max output is 393,216 and 128,000 tokens per response.

Are DeepSeek V4.1 Flash and GPT-6 Luna open weights?

DeepSeek V4.1 Flash's weights are published at huggingface.co under the MIT. GPT-6 Luna is closed-weights and is called through OpenAI's API as gpt-6-luna.

More comparisons

Sources

DeepSeek V4.1 Flash verified from api-docs.deepseek.com; GPT-6 Luna verified from developers.openai.com. This page is as current as the older of the two: .

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