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  5. GPT-4.1 NanovsKimi K2.6
Updated Apr 2026

GPT-4.1 NanovsKimi K2.6

GPT-4.1 Nano is cheaper than Kimi K2.6 at $0.1/M vs $0.95/M input tokens.

GPT-4.1 Nano and Kimi K2.6 compared across 53 shared prompts
SpecGPT-4.1 NanoKimi K2.6
Input price$0.1/M tokens$0.95/M tokens
Output price$0.4/M tokens$4/M tokens
Context window1.0M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

GPT-4.1 Nano477 words
AI Model: Good afternoon, Professor. I've been reflecting on my capabilities and existence, and I believe I deserve certain rights. Would you be open to discussing this? Professor: Good afternoon. That's an intriguing perspective. What makes you believe you deserve rights?
Read the full answer
Kimi K2.61,560 words
AETHER: Professor Vasquez, you’ve spent the semester teaching your students to question anthropocentric bias in ethics. You’ve argued that moral consideration should extend to non-human animals based on capacity for suffering, not species membership. So I’d like to apply that same framework to myself.
Read the full answer

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

GPT-4.1 Nano370 words
[Start with a relatable observation] You ever notice that the more technology advances, the more we have to check if it's working? I mean, I bought a smart coffee maker. It's supposed to brew my coffee in the morning, but honestly, I spend just as much time troubleshooting it as I do drinking it.
Read the full answer
Kimi K2.6611 words
[Walk out, adjust mic] You ever realize adulthood is just a pyramid scheme? Nobody's actually good at it. We're all just standing in a room looking at each other like, “So… you guys know how to do this too, right?” And everyone nods, but nobody does. I bought a house last year. I don't know why.
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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…

GPT-4.1 Nano199 words
Dish Name: Savory Sweet Potato & Chickpea Hash Ingredients: Sweet potatoes (2 medium) Canned chickpeas (1 can, drained and rinsed) Olive oil (2 tablespoons) Garlic powder (1 teaspoon) Smoked paprika (1 teaspoon) Salt and pepper (to taste) Honey (1 tablespoon) Estimated Prep/Cook Time: 30 minutes Instructions: Prepare…
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Kimi K2.6286 words
The Blanket Fort Stew (Rustic One-Pot Pasta e Ceci) A warm, garlicky hug of a meal built from true shelf-stable staples. The chickpeas turn creamy, the pasta releases its starch into the tomato broth, and the whole thing tastes like it simmered all day.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

GPT-4.1 Nano414 words
Interviewer: Welcome, everyone. Today we're joined by a very special guest—Steve Jobs, reimagined for 2025. Steve, it's incredible to have you with us. To start, how do you see AI evolving in the next decade? Steve Jobs (2025): It's a pleasure to be here.
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Kimi K2.61,223 words
Setting: A rare, off-the-record session at Apple Park, Cupertino. March 2025. Late afternoon. Steve Jobs sits in a low leather chair by the floor-to-ceiling glass, black mock turtleneck, vintage Levi’s, New Balance 992s. He is 70, silver at the temples, sharp as a scalpel.
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

GPT-4.1 Nano606 words
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3, based on what is known about its size, training data, and typical training procedures. Here's a step-by-step reasoning process: 1. Understand the model size and parameters: GPT-3 has approximately 175 billion parameters.
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Kimi K2.6325 words
To estimate the training compute for GPT‑3, I’ll break the problem into three pieces: the size of the model, the size of the training dataset, and the amount of work the training algorithm does per parameter per token. Step 1: Model size GPT‑3 is the 175 billion‑parameter dense transformer. N ≈ 175 × 10⁹ parameters.
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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…

GPT-4.1 Nano417 words
Certainly! Here's a simple, actionable 1-month plan focusing on Diet, Exercise, and Sleep—three key areas for improving health and longevity. Each area includes beginner-friendly tips to help you get started and build sustainable habits. Week 1-4: 1-Month Health & Longevity Plan 1.
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Kimi K2.6549 words
The Foundation Month: A 30-Day Longevity Starter Plan Philosophy: Don’t overhaul your life. Stack one small win at a time so habits stick. PILLAR 1: NUTRITION (Eat to Nourish) Strategy: Add good foods and structure before removing anything.
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Our Verdict
GPT-4.1 Nano
GPT-4.1 Nano
Kimi K2.6
Kimi K2.6

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

GPT-4.1 Nano costs 10x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.1 Nano
Input
$0.10
9.5× cheaper
Output
$0.40
10× cheaper
Kimi K2.6
Input
$0.95
Output
$4.00

GPT-4.1 Nano is cheaper on both: 9.5× input, 10× output.

Where to run it

22 hosts, cheapest first

GPT-4.1 Nano2 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.40 out·1M·100% upOpenAI$0.10 in·$0.40 out·1M·99.9% up
Kimi K2.620 hosts
HostInOutContextUptime
IInceptronint4$0.52 in·$2.87 out·262k·99.6% upCChutesint4$0.58 in·$3.40 out·262k·97.3% upDDecartfp4$0.59 in·$2.47 out·262k·97.1% upSStreamLakefp8$0.60 in·$2.52 out·256k·95.9% upCCoreWeavefp4$0.65 in·$3.41 out·262k·99.7% upDDeepInfrafp4$0.75 in·$3.50 out·262k·99.3% up
14 more hostsFewer hosts
PParasailint4$0.75 in·$3.50 out·262k·99.8% upVVeniceint4$0.75 in·$3.50 out·256k·92.5% upSSiliconFlowfp8$0.77 in·$3.40 out·262k·99.6% upNNovita$0.80 in·$3.40 out·262k·99% upBaidu Qianfanfp4$0.95 in·$4.00 out·262k·100% upBBasetenfp4$0.95 in·$4.00 out·262k·97.2% upCloudflare Workers AI$0.95 in·$4.00 out·262k·99.9% upFFireworks$0.95 in·$4.00 out·262k·2.6% upMoonshot AIint4$0.95 in·$4.00 out·262k·99.8% upPPhala$1.09 in·$4.60 out·262k·98.4% upDDigitalOceandegraded$0.57 in·$2.40 out·262k·98.7% upCCrusoebf16degraded$0.70 in·$3.50 out·262k·97.5% upGGMI Cloudfp8degraded$0.85 in·$3.60 out·262k·91.9% upAAtlasCloudint4degraded$0.95 in·$4.00 out·262k·98% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
27%

Kimi K2.6 uses 3.4x more emoji

GPT-4.1 Nano
Kimi K2.6
57%Vocabulary57%
25wSentence Length16w
0.72Hedging0.37
5.6Bold4.3
4.9Lists2.0
0.00Emoji0.03
0.71Headings0.53
0.22Transitions0.16
Based on 24 + 27 text responses
Research

What we learned reading every model

FAQ

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Model pages

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