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  5. DeepSeek V4 Flash Vision ExpvsGPT-5.6 Luna
Updated Aug 2026

DeepSeek V4 Flash Vision ExpvsGPT-5.6 Luna

DeepSeek V4 Flash Vision Exp is cheaper than GPT-5.6 Luna at $0.22/M vs $1/M input tokens.

DeepSeek V4 Flash Vision Exp and GPT-5.6 Luna compared across 8 shared prompts
SpecDeepSeek V4 Flash Vision ExpGPT-5.6 Luna
Input price$0.22/M tokens$1/M tokens
Output price$0.66/M tokens$6/M tokens
Context window1.0M tokens1.1M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedAug 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 3 of the 8 prompts both answered. Formatting stripped, words untouched.

Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

DeepSeek V4 Flash Vision Exp144 words
Sticky Soy-Glazed Midnight Noodles A sweet-savory, buttery noodle dish that comes together in about 20 minutes with pantry staples. Ingredients (7): 8 oz spaghetti or noodles 3 tbsp butter 3 cloves garlic, thinly sliced 2 tbsp soy sauce 1 tbsp honey ½ tsp chili flakes 1 tbsp sesame seeds Instructions: Cook the noodles…
Read the full answer
GPT-5.6 Luna152 words
Sunset Pantry Pasta A savory, slightly spicy tomato-tuna pasta made with seven simple pantry ingredients. Ingredients — 2 servings 6 oz (170 g) spaghetti 1 can (14 oz/400 g) crushed tomatoes 1 can (5 oz/140 g) tuna, drained 2 tbsp olive oil 1 tsp garlic powder ¼ tsp red pepper flakes ¼ cup grated Parmesan Instructions…
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

DeepSeek V4 Flash Vision Exp565 words
Here’s a simple, beginner-friendly 1-month plan built around three key pillars: Nutrition, Movement, and Sleep & Stress. The goal is small, repeatable habits — not perfection. The 3 Key Areas Nutrition Goal: Eat more whole foods, more protein, and more plants.
Read the full answer
GPT-5.6 Luna608 words
1-Month Beginner Plan for Better Health and Longevity Key principles Aim for consistency, not perfection. Start small enough that you can repeat it. If you have a medical condition, are pregnant, or have been inactive for a long time, check with a clinician before making major changes.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

DeepSeek V4 Flash Vision Exp869 words
Here is how a large language model learns and generates text, tailored to each of your three audiences. To an Experienced Software Engineer You build distributed systems, so think of an LLM as a massively parallel, lossy compression engine for human text.
Read the full answer
GPT-5.6 Luna842 words
For an experienced software engineer A language model is trained much like an extremely large system for compressing and reconstructing text. During training, it sees sequences such as “The database transaction was rolled back because the…” and is asked to assign probabilities to the next token—usually a subword unit…
Read the full answer
Our Verdict
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp
GPT-5.6 Luna
GPT-5.6 LunaRunner-up

Not enough votes to call it. On the specs, DeepSeek V4 Flash Vision Exp has the edge: bigger model tier, newer.

DeepSeek V4 Flash Vision Exp costs 9.1x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash Vision Exp
Input
$0.22
4.5× cheaper
Output
$0.66
9.1× cheaper
GPT-5.6 Luna
Input
$1.00
Output
$6.00

DeepSeek V4 Flash Vision Exp is cheaper on both: 4.5× input, 9.1× output.

Where to run it

8 hosts, cheapest first

DeepSeek V4 Flash Vision Exp5 hosts
HostInOutContextUptime
FFireworks$0.22 in·$0.66 out·1M·99.8% upGGMI Cloudfp8$0.44 in·$1.32 out·1M·99.8% upNNovita$0.44 in·$1.32 out·1M·99.9% upSSiliconFlowfp8$0.44 in·$1.32 out·1M·97.2% upDDeepInfrafp8degraded$0.22 in·$0.65 out·1M·70.6% up
GPT-5.6 Luna3 hosts
HostInOutContextUptime
OpenAI$0.20 in·$1.20 out·1.1M·100% upAmazon Bedrock$0.22 in·$1.32 out·1.1M·100% upAzure AI Foundry$0.22 in·$1.32 out·1.1M·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash Vision Exp is developed by DeepSeek while GPT-5.6 Luna is developed by OpenAI. DeepSeek V4 Flash Vision Exp has a 1.0M token context window vs GPT-5.6 Luna's 1.1M. You can compare their actual outputs across 8 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Flash Vision Exp and GPT-5.6 Luna each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 8 challenges so you can judge which fits your needs best.

DeepSeek V4 Flash Vision Exp costs $0.22/M input tokens and GPT-5.6 Luna costs $1/M input tokens. DeepSeek V4 Flash Vision Exp is $0.78/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

This page shows a side-by-side comparison of DeepSeek V4 Flash Vision Exp and GPT-5.6 Luna across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

Keep exploring

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Model pages

DeepSeek V4 Flash Vision Exp logo
DeepSeek V4 Flash Vision Exp8 outputs, specs and price
GPT-5.6 Luna logo
GPT-5.6 Luna58 outputs, specs and price
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