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  5. DeepSeek V4 Flash Vision ExpvsQwen3 235B A22B
Updated Aug 2026

DeepSeek V4 Flash Vision ExpvsQwen3 235B A22B

DeepSeek V4 Flash Vision Exp has a larger context window than Qwen3 235B A22B (1.0M tokens vs 33K tokens).

DeepSeek V4 Flash Vision Exp and Qwen3 235B A22B compared across 8 shared prompts
SpecDeepSeek V4 Flash Vision ExpQwen3 235B A22B
Input price$0.22/M tokens—
Output price$0.66/M tokens—
Context window1.0M tokens33K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Apr 2025
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…
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Qwen3 235B A22B180 words
Recipe Name: "Caramel-Drizzle Buttergold Muffins" Estimated Prep Time: 10 minutes Cook Time: 20 minutes Total Time: 30 minutes Ingredients (7 total): All-purpose flour Granulated sugar Unsalted butter (softened) Large egg Baking powder Milk Vanilla extract Instructions: Preheat oven to 375°F (190°C).
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
Qwen3 235B A22B726 words
To the Software Engineer (Skeptical ML Novice): Think of a large language model (LLM) as a distributed system for semantic routing. At its core, the model is a massive lookup table trained to map input sequences (tokens) to output sequences, but the magic lies in its architecture.
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.
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Qwen3 235B A22B461 words
1-Month Health & Longevity Plan: Focus Areas = Diet, Exercise, Sleep Beginner-friendly, actionable tips for sustainable habits. Week 1: Build a Nutrition Foundation Goal: Eat whole foods, reduce processed items, and hydrate. Hydrate First Thing: Drink 16 oz of water every morning before coffee/tea.
Read the full answer
Our Verdict
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp
Qwen3 235B A22B
Qwen3 235B A22B

Not enough votes to call it. On the specs, nothing separates them.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash Vision Exp
Input
$0.22
Output
$0.66
Qwen3 235B A22B
Input
—
Output
—
Where to run it

6 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
Qwen3 235B A22B1 host
HostInOutContextUptime
Alibaba Cloud$0.46 in·$1.82 out·131k·100% 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 Qwen3 235B A22B is developed by Qwen. DeepSeek V4 Flash Vision Exp has a 1.0M token context window vs Qwen3 235B A22B's 33K. 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 Qwen3 235B A22B 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.

This page shows a side-by-side comparison of DeepSeek V4 Flash Vision Exp and Qwen3 235B A22B 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.

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Model pages

DeepSeek V4 Flash Vision Exp logo
DeepSeek V4 Flash Vision Exp8 outputs, specs and price
Qwen3 235B A22B logo
Qwen3 235B A22B58 outputs, specs and price
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