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  5. DeepSeek V4 Flash Vision ExpvsKimi K2 Thinking
Updated Aug 2026

DeepSeek V4 Flash Vision ExpvsKimi K2 Thinking

DeepSeek V4 Flash Vision Exp is cheaper than Kimi K2 Thinking at $0.22/M vs $0.6/M input tokens.

DeepSeek V4 Flash Vision Exp and Kimi K2 Thinking compared across 8 shared prompts
SpecDeepSeek V4 Flash Vision ExpKimi K2 Thinking
Input price$0.22/M tokens$0.6/M tokens
Output price$0.66/M tokens$2.5/M tokens
Context window1.0M tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Nov 2025
Side by side

Same prompt, both answers

Opening lines from 2 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
Kimi K2 Thinking137 words
Creative Name: Midnight Peanut Noodles Ingredients: 8 oz dried spaghetti or any pasta 1/3 cup creamy peanut butter 3 tablespoons soy sauce 2 cloves garlic, minced 2 tablespoons vegetable oil 1 tablespoon sugar 1 teaspoon hot sauce (or pinch of red pepper flakes) Instructions: Bring a large pot of salted water to boil.
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
Kimi K2 Thinking1,024 words
1. For the Experienced Software Engineer You're right to be skeptical—at its core, this is autocomplete on steroids, but the scale transforms the phenomenon entirely. Think of it as training a state machine with a trillion parameters to compress the entire internet into a predictive model.
Read the full answer
Our Verdict
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp
Kimi K2 Thinking
Kimi K2 Thinking

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

DeepSeek V4 Flash Vision Exp costs 3.8x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V4 Flash Vision Exp
Input
$0.22
2.7× cheaper
Output
$0.66
3.8× cheaper
Kimi K2 Thinking
Input
$0.60
Output
$2.50

DeepSeek V4 Flash Vision Exp is cheaper on both: 2.7× input, 3.8× output.

Where to run it

7 hosts, cheapest first

DeepSeek V4 Flash Vision Exp5 hosts
HostInOutContextUptime
FFireworks$0.22 in·$0.66 out·1M·99.8% upGGMI Cloudfp8$0.44 in·$1.32 out·1M·99.8% upNNovita$0.44 in·$1.32 out·1M·100% upSSiliconFlowfp8$0.44 in·$1.32 out·1M·97.4% upDDeepInfrafp8degraded$0.22 in·$0.65 out·1M·66.3% up
Kimi K2 Thinking2 hosts
HostInOutContextUptime
Google Vertex AI$0.60 in·$2.50 out·262k·100% upNNovitabf16$0.60 in·$2.50 out·262k·99.7% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Flash Vision Exp is developed by DeepSeek while Kimi K2 Thinking is developed by Moonshot AI. DeepSeek V4 Flash Vision Exp has a 1.0M token context window vs Kimi K2 Thinking'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 Kimi K2 Thinking 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 Kimi K2 Thinking costs $0.6/M input tokens. DeepSeek V4 Flash Vision Exp is $0.38/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 Kimi K2 Thinking 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
Kimi K2 Thinking logo
Kimi K2 Thinking58 outputs, specs and price
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