DeepSeek-V4-Flash-Vision-Exp vs GPT-6 Luna
DeepSeek-V4-Flash-Vision-Exp and GPT-6 Luna are closely matched at 44.2 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-Flash-Vision-Exp and GPT-6 Luna are closely matched on the overall LLM Stats Score at 44.2 and 43.1.
In the 1 individual benchmarks reported for both models, GPT-6 Luna wins 1; this is a narrower head-to-head signal than the composite indexes.
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-Flash-Vision-Exp
- you want predictable pricing at $0.22/M input and $0.66/M output
Choose GPT-6 Luna
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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
7 reported for DeepSeek-V4-Flash-Vision-Exp · 5 for GPT-6 Luna
DeepSeek-V4-Flash-Vision-Exp outperforms in 0 benchmarks, while GPT-6 Luna is better at 1 benchmark (Agents' Last Exam).
GPT-6 Luna significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens) is 2.2x more expensive than GPT-6 Luna ($0.10/1M tokens).
For output processing, DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens) is 1.3x more expensive than GPT-6 Luna ($0.50/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp 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-Flash-Vision-Exp's 1,048,576 tokens. DeepSeek-V4-Flash-Vision-Exp 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-Flash-Vision-Exp and GPT-6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
DeepSeek-V4-Flash-Vision-Exp
GPT-6 Luna
Release Timeline
When each model was launched
DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while GPT-6 Luna was released on 2026-09-22.
GPT-6 Luna is 1 month newer than DeepSeek-V4-Flash-Vision-Exp.
Aug 21, 2026
1 months ago
Sep 22, 2026
3 weeks ago
1mo newerKnowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while DeepSeek-V4-Flash-Vision-Exp'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-Flash-Vision-Exp's cutoff date.
—
May 2026
Provider Availability
DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek, DeepInfra. GPT-6 Luna is available from OpenAI.
DeepSeek-V4-Flash-Vision-Exp
GPT-6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and GPT-6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Vision-Exp vs GPT-6 Luna.