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  5. DeepSeek V4 Flash Vision ExpvsQwen3.6 35B A3B
Updated Aug 2026

DeepSeek V4 Flash Vision ExpvsQwen3.6 35B A3B

Qwen3.6 35B A3B is cheaper than DeepSeek V4 Flash Vision Exp at $0.1612/M vs $0.22/M input tokens.

DeepSeek V4 Flash Vision Exp and Qwen3.6 35B A3B compared across 8 shared prompts
SpecDeepSeek V4 Flash Vision ExpQwen3.6 35B A3B
Input price$0.22/M tokens$0.1612/M tokens
Output price$0.66/M tokens$0.9653/M tokens
Context window1.0M tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Apr 2026
Side by side

Same prompt, both answers

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

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
Qwen3.6 35B A3B788 words
Here is a simple, actionable 1-month plan designed for beginners. The focus is on consistency over intensity. For longevity, small, sustainable habits compound over time. The Golden Rule: If you miss a day, don't quit. Just get back on track the next day. Aim for progress, not perfection.
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
Qwen3.6 35B A3B775 words
For the Experienced Software Engineer Training an LLM is essentially a massively parallelized optimization job. You feed billions of text tokens into a transformer architecture, which computes a differentiable function across ~100B parameters.
Read the full answer

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
Qwen3.6 35B A3B236 words
🍜 Golden Honey-Garlic Snap Noodles A quick, sticky-yet-chewy noodle dish that balances sweet, salty, and spicy flavors. It's comforting, fast, and uses ingredients you likely already have.
Read the full answer
Our Verdict
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp
Qwen3.6 35B A3B
Qwen3.6 35B A3BRunner-up

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

Slight edge
API pricing

Cost per 1M tokens

DeepSeek V4 Flash Vision Exp
Input
$0.22
Output
$0.66
1.5× cheaper
Qwen3.6 35B A3B
Input
$0.16
1.4× cheaper
Output
$0.97

Qwen3.6 35B A3B wins input (1.4× cheaper)·DeepSeek V4 Flash Vision Exp wins output (1.5× cheaper)

Where to run it

14 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
Qwen3.6 35B A3B9 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.9% upAAkashMLfp8$0.10 in·$0.90 out·262k·99.9% upVVenicefp8$0.10 in·$1.00 out·256k·99.8% upPParasailfp8$0.15 in·$1.00 out·262k·99.3% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.8% upPPhala$0.20 in·$1.27 out·262k·99.8% up
3 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.3% upCCoreWeavefp8$0.25 in·$1.25 out·262k·100% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·85.5% 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 Qwen3.6 35B A3B is developed by Qwen. DeepSeek V4 Flash Vision Exp has a 1.0M token context window vs Qwen3.6 35B A3B's 262K. 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 Qwen3.6 35B A3B 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 Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.6 35B A3B is $0.06/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 Qwen3.6 35B A3B 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
Qwen3.6 35B A3B logo
Qwen3.6 35B A3B58 outputs, specs and price
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