DeepSeek-V4.1-Flash vs GPT-6 Luna
DeepSeek-V4.1-Flash and GPT-6 Luna are closely matched at 50.0 and 43.1 on the LLM Stats Score. GPT-6 Luna is 1.6x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V4.1-Flash and GPT-6 Luna are closely matched on the overall LLM Stats Score at 50.0 and 43.1.
The models split the 2 individual benchmarks reported for both models evenly.
On price, GPT-6 Luna is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4.1-Flash
- you need open weights you can self-host or fine-tune
Choose GPT-6 Luna
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
20 reported for DeepSeek-V4.1-Flash · 5 for GPT-6 Luna
DeepSeek-V4.1-Flash outperforms in 1 benchmarks (DeepSWE 1.1), while GPT-6 Luna is better at 1 benchmark (Agents' Last Exam).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 2.2x more expensive than GPT-6 Luna ($0.10/1M tokens).
For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 1.3x more expensive than GPT-6 Luna ($0.50/1M tokens).
In conclusion, DeepSeek-V4.1-Flash is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to DeepSeek-V4.1-Flash's 1,040,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while GPT-6 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both DeepSeek-V4.1-Flash and GPT-6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4.1-Flash
GPT-6 Luna
License
Usage and distribution terms
DeepSeek-V4.1-Flash is licensed under MIT, while GPT-6 Luna uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4.1-Flash was released on 2026-09-10, while GPT-6 Luna was released on 2026-09-22.
GPT-6 Luna is 0 month newer than DeepSeek-V4.1-Flash.
Sep 10, 2026
1 months ago
Sep 22, 2026
1 months ago
1w newerKnowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while DeepSeek-V4.1-Flash's cutoff date is not specified.
We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.
—
May 2026
Provider Availability
DeepSeek-V4.1-Flash is available from Fireworks, DeepInfra, Novita. GPT-6 Luna is available from OpenAI.
DeepSeek-V4.1-Flash
GPT-6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4.1-Flash and GPT-6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4.1-Flash vs GPT-6 Luna.