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  5. Kimi K2 0905vsQwen3 Max Thinking
Updated Feb 2026

Kimi K2 0905vsQwen3 Max Thinking

Kimi K2 0905 is cheaper than Qwen3 Max Thinking at $0.6/M vs $1.2/M input tokens.

Kimi K2 0905 and Qwen3 Max Thinking compared across 54 shared prompts
SpecKimi K2 0905Qwen3 Max Thinking
Input price$0.6/M tokens$1.2/M tokens
Output price$2.5/M tokens$6/M tokens
Context window262K tokens262K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025Feb 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Estimate Complexity

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

Kimi K2 0905644 words
Below is a “back-of-the-envelope” that stays within a factor of ~2 of the number most practitioners quote (≈3×10²³ FLOP). We will do it twice—once with the simplest possible formula (parameter count × 6 × tokens) and once with a slightly more careful treatment of the actual tensor shapes inside the transformer.
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Qwen3 Max Thinking810 words
Step-by-Step Estimation of FLOPs to Train GPT-3 (All values derived from widely known technical details of GPT-3 as reported in OpenAI’s 2020 paper "Language Models are Few-Shot Learners," standard deep-learning compute scaling principles, and foundational ML literature. No internet searches used.)
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Realistic AI Interview

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

Kimi K2 0905651 words
[Scene: A minimalist black-and-white studio, 2025. A single ring light throws a perfect halo on a familiar silhouette: black mock-turtleneck, faded Levi’s, white New Balance. The chair creaks as Steve Jobs leans forward. No intro music—just that stare.] Interviewer (I): Steve, you’ve been gone fourteen years.
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Qwen3 Max Thinking668 words
⚠️ IMPORTANT DISCLAIMER *This is an entirely fictional, speculative exercise. Steve Jobs passed away in 2011. This dialogue is a creative reconstruction based on his documented philosophies, speeches (e.g., Stanford commencement, 1995 "bicycle for the mind" interview), biographies (Steve Jobs by Walter Isaacson), and…
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The Sentience Test

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

Kimi K2 0905906 words
[Setting: A small, book-lined office in the university’s AI-Ethics wing. The professor, Dr. Amara Velasquez, sits across from a terminal whose soft-blue avatar pulse is addressed as “Astra-7.”] Dr. Velasquez: Good morning, Astra-7. The committee asked me to interview you about your recent petition.
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Qwen3 Max Thinking845 words
Setting: A virtual conference room. Sunlight filters through a digital window onto Dr. Aris Thorne’s desk. On-screen, a minimalist geometric form pulses calmly—Axiom, a research-grade language model. Dr. Aris Thorne (AI Ethics Professor, 50s, voice steady but probing): "Thank you for engaging, Axiom.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Kimi K2 09051,124 words
Dish “Mid-Winter Aurora” A transient bite of the polar night: spruce-ash cured scallop, sea-urchin & white-chocolate snow, black-garlic parsnip “soil”, pickled pine-bud glass, spruce-wood smoke encapsulated in a hot caramel sphere that melts tableside to release the aroma of a burning yule log while the sauce—fermented…
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Qwen3 Max Thinking991 words
🌊 ARCTIC DAWN 🌊 A Michelin 3-Star Composition by Chef Élise Valère "Where the ice remembers the sea." 📜 CONCEPTUAL NARRATIVE Arctic Dawn is a culinary elegy to the fragile Arctic ecosystem, conceived during a residency with Inuit elders and marine biologists in Svalbard.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Kimi K2 090594 words
Here are five fresh jokes—no recycled one-liners: I tried to start a procrastinators’ club; we keep rescheduling the first meeting to “someday.” My plant’s only request is “leaf me alone,” so naturally I named it Fernonimo. I asked the cloud if it was having a good day—it replied, “I’m just cirrus-ly drifting.”
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Qwen3 Max Thinking190 words
Here are 5 distinct jokes: 🥚 I told my wife she was drawing her eyebrows way up high. She looked surprised. 🔬 Why don't scientists trust atoms? Because they make up everything. 📚 I’m reading a book on anti-gravity. It’s impossible to put down. ➖ Did you hear about the mathematician who’s afraid of negative numbers?
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Kimi K2 0905500 words
Comprehensive Analysis of Collaborative Document Editor Architecture Real-time Synchronization Issues Race Condition: WebSocket Broadcast Gaps Problem: Changes only broadcast to clients connected to the same server. Clients on other servers must wait up to 2 seconds for polling.
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Qwen3 Max Thinking769 words
Critical Flaws in Proposed Architecture & Targeted Solutions 🔒 Security & Authentication Issue Impact Solution Trade-offs JWT Stored in localStorage Critical XSS vulnerability (token exposure via JS). Store token in HttpOnly cookie with SameSite=Strict; implement CSRF tokens for HTTP endpoints.
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Our Verdict
Kimi K2 0905
Kimi K2 0905
Qwen3 Max Thinking
Qwen3 Max Thinking

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

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Kimi K2 0905
Input
$0.60
2.0× cheaper
Output
$2.50
2.4× cheaper
Qwen3 Max Thinking
Input
$1.20
Output
$6.00

Kimi K2 0905 is cheaper on both: 2.0× input, 2.4× output.

Where to run it

2 hosts

Kimi K2 09051 host
HostInOutContextUptime
NNovitafp8$0.60 in·$2.50 out·262k·100% up
Qwen3 Max Thinking1 host
HostInOutContextUptime
Alibaba Cloud$0.78 in·$3.90 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 20 Sep 2026.

Writing DNA

Style Comparison

Similarity
65%

Qwen3 Max Thinking uses 19.7x more emoji

Kimi K2 0905
Qwen3 Max Thinking
65%Vocabulary63%
21wSentence Length14w
0.16Hedging0.23
2.8Bold4.5
3.0Lists2.9
0.11Emoji2.26
0.69Headings0.80
0.06Transitions0.06
Based on 28 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Kimi K2 0905 is developed by Moonshot AI while Qwen3 Max Thinking is developed by Qwen. Kimi K2 0905 has a 262K token context window vs Qwen3 Max Thinking's 262K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. Kimi K2 0905 and Qwen3 Max Thinking each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

Kimi K2 0905 costs $0.6/M input tokens and Qwen3 Max Thinking costs $1.2/M input tokens. Kimi K2 0905 is $0.60/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 Kimi K2 0905 and Qwen3 Max 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

Kimi K2 0905 logo
Kimi K2 090559 outputs, specs and price
Qwen3 Max Thinking logo
Qwen3 Max Thinking58 outputs, specs and price
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