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  5. DeepSeek V4 Flash Vision ExpvsGranite 4.2 8B
Updated Aug 2026

DeepSeek V4 Flash Vision ExpvsGranite 4.2 8B

Granite 4.2 8B is cheaper than DeepSeek V4 Flash Vision Exp at $0.1/M vs $0.22/M input tokens.

DeepSeek V4 Flash Vision Exp and Granite 4.2 8B compared across 8 shared prompts
SpecDeepSeek V4 Flash Vision ExpGranite 4.2 8B
Input price$0.22/M tokens$0.1/M tokens
Output price$0.66/M tokens$0.15/M tokens
Context window1.0M tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Aug 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
Granite 4.2 8B532 words
(Simple, actionable, no jargon, no perfectionism—focus on one tiny habit per week per area. Total time commitment ≤30 mins/week total. Written as clear "Do this" steps. No supplements, no special equipment, no counting calories/macros. Prioritizes consistency over intensity.)
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
Granite 4.2 8B587 words
Dish Name: Sunset Black Bean Rice Bowl (Simple, colorful, savory, no baking or special tools—just a pot and a skillet.) Why it works: Uses only pantry staples most people already have (rice, canned beans/tomatoes, basic spices, oil, salt).
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
Granite 4.2 8B2,367 words
For the experienced software engineer (distributed systems/APIs background; skeptical of "predicting next words" producing intelligence) You’re right to be skeptical—calling it "predicting the next word" sounds trivial, and if it were just a naive lookup or fixed rule, it wouldn’t work reliably across diverse queries.
Read the full answer
Our Verdict
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp
Granite 4.2 8B
Granite 4.2 8BRunner-up

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

Granite 4.2 8B costs 4.4x less per token.

Slight edge
API pricing

Cost per 1M tokens

DeepSeek V4 Flash Vision Exp
Input
$0.22
Output
$0.66
Granite 4.2 8B
Input
$0.10
2.2× cheaper
Output
$0.15
4.4× cheaper

Granite 4.2 8B is cheaper on both: 2.2× input, 4.4× output.

Where to run it

7 hosts, cheapest first

DeepSeek V4 Flash Vision Exp5 hosts
HostInOutContextUptime
FFireworks$0.22 in·$0.66 out·1M·99.9% 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·97.1% upDDeepInfrafp8degraded$0.22 in·$0.65 out·1M·77.7% up
Granite 4.2 8B2 hosts
HostInOutContextUptime
DDeepInfrabf16$0.06 in·$0.25 out·131k·100% upCCoreWeavebf16$0.10 in·$0.15 out·131k·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 Granite 4.2 8B is developed by IBM Granite. DeepSeek V4 Flash Vision Exp has a 1.0M token context window vs Granite 4.2 8B's 131K. 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 Granite 4.2 8B 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 Granite 4.2 8B costs $0.1/M input tokens. Granite 4.2 8B is $0.12/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 Granite 4.2 8B 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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Same lab, same size, long tail

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Model pages

DeepSeek V4 Flash Vision Exp logo
DeepSeek V4 Flash Vision Exp8 outputs, specs and price
Granite 4.2 8B logo
Granite 4.2 8B58 outputs, specs and price
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