DeepSeek-V4-Flash-Vision-Exp vs GPT-5.6 Luna: Specs & Benchmark Comparison

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek, while GPT-5.6 Luna comes from OpenAI. GPT-5.6 Luna was released in July 2026, and DeepSeek-V4-Flash-Vision-Exp followed a month later in August 2026.

The two models share 4 published benchmarks. GPT-5.6 Luna leads on 3 of them, DeepSeek-V4-Flash-Vision-Exp on 1. The widest gaps are on Agents' Last Exam, where GPT-5.6 Luna scores 50.3% against 27.3%; AutomationBench, where DeepSeek-V4-Flash-Vision-Exp scores 25.7% against 14.9%. Averaged across everything we track, DeepSeek-V4-Flash-Vision-Exp sits at 50.4% and GPT-5.6 Luna at 51.5%.

On price the two are close: DeepSeek-V4-Flash-Vision-Exp costs $0.22 per million input tokens and $0.66 per million output tokens, GPT-5.6 Luna $0.20 and $1.20. Both accept a context window of about 1M tokens. Both accept text and images as input. On tooling, only GPT-5.6 Luna supports function calling and only GPT-5.6 Luna offers structured output.

CharacteristicDeepSeek-V4-Flash-Vision-ExpGPT-5.6 Luna
CompanyDeepSeekOpenAI
Release DateAugust 21, 2026July 9, 2026
Parameters——
MultimodalYesYes
Context (input)1.0M1.1M
Context (output)393K128K
Input Price / 1M$0.22$0.20
Output Price / 1M$0.66$1.20
Average Score50.4%51.5%
Benchmarks
Agents' Last Exam27.3%50.3%
AutomationBench25.7%14.9%
DeepSWE59.3%67.2%
Terminal-Bench 2.183.9%84.7%

Visual Benchmark Comparison

DeepSeek-V4-Flash-Vision-Exp
GPT-5.6 Luna
Agents' Last Exam0.3 vs 0.5
0.3
0.5
AutomationBench0.3 vs 0.1
0.3
0.1
DeepSWE0.6 vs 0.7
0.6
0.7
Terminal-Bench 2.10.8 vs 0.8
0.8
0.8

Verdict

DeepSeek-V4-Flash-Vision-Exp leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Flash-Vision-Exp — 0.5, GPT-5.6 Luna — 0.5.

API Cost

DeepSeek-V4-Flash-Vision-Exp is 1.6x cheaper: input $0.22/1M vs $0.20/1M tokens.

Context Window

GPT-5.6 Luna supports a larger context: 1M vs 1M tokens.

Recency

DeepSeek-V4-Flash-Vision-Exp is newer: released 8/21/2026 vs 7/9/2026.

More About These Models

Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-Vision-Exp or GPT-5.6 Luna?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-Vision-Exp or GPT-5.6 Luna?
GPT-5.6 Luna is cheaper for input: $0.20 per 1M tokens vs $0.22.
Which has a larger context window — DeepSeek-V4-Flash-Vision-Exp or GPT-5.6 Luna?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 1,048,576.

The DeepSeek-V4-Flash-Vision-Exp and GPT-5.6 Luna comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-Vision-Exp or GPT-5.6 Luna page. See also the complete list of AI model comparisons.