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  5. Kimi K2 0905vsQwen3.8 Max (0902)
Updated Sep 2026

Kimi K2 0905vsQwen3.8 Max (0902)

Kimi K2 0905 is cheaper than Qwen3.8 Max (0902) at $0.6/M vs $2/M input tokens.

Kimi K2 0905 and Qwen3.8 Max (0902) compared across 10 shared prompts
SpecKimi K2 0905Qwen3.8 Max (0902)
Input price$0.6/M tokens$2/M tokens
Output price$2.5/M tokens$6/M tokens
Context window262K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 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…

Kimi K2 0905192 words
Dish Name: “Midnight Magic Peanut-Butter Clouds” Pantry 7: Peanut butter – ½ cup Granulated sugar – ½ cup 1 large egg Vanilla extract – ½ tsp Baking soda – ¼ tsp Salt – 1 pinch Cocoa powder – 1 Tbsp (or 1 extra tsp sugar if you don’t want chocolate) Time: 5 min prep + 8 min bake = 13 minutes total Yield: 8–10 bite-size…
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Qwen3.8 Max (0902)230 words
🍯 Midnight Crispy Chickpea Bowl A sweet-savory, crispy rice bowl that comes together faster than delivery. Ingredients (7) # Ingredient Amount 1 Canned chickpeas (drained & patted dry) 1 can (15 oz) 2 Soy sauce 3 tbsp 3 Honey 2 tbsp 4 Garlic (minced) 3 cloves 5 Vegetable oil 2 tbsp 6 Instant or leftover cooked rice 2…
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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…

Kimi K2 0905884 words
Senior backend engineer Think of the model as a 200-layer, purely functional, eventually-consistent key/value store whose keys are every token prefix it has ever seen and whose values are probability vectors over the next token. At “compile time” (pre-training) it sees ~10²¹ bytes of text.
Read the full answer
Qwen3.8 Max (0902)1,046 words
For the Experienced Software Engineer Think of an LLM as a lossy compression function trained on a massive corpus. During training, you're essentially building a statistical model of "given this sequence of tokens, what's the probability distribution over the next token?"
Read the full answer

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…

Kimi K2 0905759 words
1-MONTH “BETTER-HEALTH & LONGEVITY” STARTER PLAN (Print this one-pager, stick it on the fridge, tick the boxes daily) FOCUS AREA 1 – EAT A LITTLE BETTER Goal: Add 3 longevity foods, subtract 3 ultra-processed foods, never go hungry.
Read the full answer
Qwen3.8 Max (0902)536 words
The 30-Day Foundation Plan Core principle: Don't overhaul your life. Layer small wins that compound. 🏃 Area 1: Movement The goal isn't fitness. It's making your body a place you want to live in. Week 1 — Build the trigger Walk 15 minutes daily (same time each day to build the habit) No gym. No gear.
Read the full answer

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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Qwen3.8 Max (0902)477 words
Architecture Failure Analysis: Real-Time Collaborative Editor Critical Issues (Data Loss / Correctness) Last-Write-Wins with Client Clocks — Fundamental Data Loss Problem: Client clocks are unreliable. They drift, can be manually set, and differ across timezones.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Kimi K2 0905322 words
The three weakest claims, in order of how quickly an investor’s BS-detector will go off, are: “94 % accuracy … works with any language, any device.” “TAM: $180 B.” “Partnership discussions with Apple and Samsung.”
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Qwen3.8 Max (0902)582 words
The 3 Weakest Claims in the MindMeld AI Pitch The TAM Claim: "$180B" (Slide 4) Why it's weak: This is a textbook case of TAM inflation that immediately undermines credibility with any experienced investor.
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Our Verdict
Kimi K2 0905
Kimi K2 0905
Qwen3.8 Max (0902)
Qwen3.8 Max (0902)

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

Too close to call
API pricing

Cost per 1M tokens

Kimi K2 0905
Input
$0.60
3.3× cheaper
Output
$2.50
2.4× cheaper
Qwen3.8 Max (0902)
Input
$2.00
Output
$6.00

Kimi K2 0905 is cheaper on both: 3.3× 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
Qwen3.8 Max (0902)1 host
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% up

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

Research

What we learned reading every model

FAQ

Common questions

Kimi K2 0905 is developed by Moonshot AI while Qwen3.8 Max (0902) is developed by Qwen. Kimi K2 0905 has a 262K token context window vs Qwen3.8 Max (0902)'s 1.0M. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. Kimi K2 0905 and Qwen3.8 Max (0902) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

Kimi K2 0905 costs $0.6/M input tokens and Qwen3.8 Max (0902) costs $2/M input tokens. Kimi K2 0905 is $1.40/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 Qwen3.8 Max (0902) 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
Qwen3.8 Max (0902) logo
Qwen3.8 Max (0902)10 outputs, specs and price
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