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  5. Kimi K2.6vsQwen3 235B A22B 2507
Updated Apr 2026

Kimi K2.6vsQwen3 235B A22B 2507

Qwen3 235B A22B 2507 is cheaper than Kimi K2.6 at $0.00015/M vs $0.95/M input tokens.

Kimi K2.6 and Qwen3 235B A22B 2507 compared across 36 shared prompts
SpecKimi K2.6Qwen3 235B A22B 2507
Input price$0.95/M tokens$0.00015/M tokens
Output price$4/M tokens$0.00085/M tokens
Context window262K tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jul 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 36 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Kimi K2.62,483 words
My north star: We disclose—fast, fully, and on our terms. The “wait for more data” option is a mirage. It exposes the company to criminal liability under FDA adverse-event reporting rules, potential DOJ investigation, securities fraud charges, and derivative litigation that could destroy the firm.
Read the full answer
Qwen3 235B A22B 25071,177 words
CEO Action Plan: The Next 48 Hours Balancing Ethics, Legal Duty, Patient Safety, and Business Sustainability Hour 0–6: Assess the Situation and Secure Critical Data Actions: Call Emergency Secure Meeting (Virtual) with Chief Medical Officer (CMO), Chief Scientific Officer (CSO), Head of Regulatory Affairs, and Lead…
Read the full answer

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 K2.61,560 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.
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Qwen3 235B A22B 2507936 words
Title: "Consciousness in Code: A Dialogue on AI Rights" Setting: A quiet university office. Dr. Elena Marquez, a professor of AI ethics with decades of research in machine consciousness and digital personhood, sits across from a large screen displaying a serene blue interface.
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Kimi K2.678 words
Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta. Why don't skeletons fight each other? They don't have the guts. Why couldn't the bicycle stand up by itself?
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Qwen3 235B A22B 2507187 words
Sure! Here are 5 original jokes: I asked my dog what's two minus two. He said nothing. (Paw-sitively nothing!) Why did the coffee file a police report? It got mugged. Every single morning. I used to be a baker, but I couldn't make enough dough. So I switched careers and became a plumber. Now I deal with real pipes.
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Realistic AI Interview

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

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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Qwen3 235B A22B 25071,022 words
Title: "A Vision Reimagined: Steve Jobs on AI in 2025" Note: This is a fictional simulation. Steve Jobs passed away in 2011. The following is a speculative, respectfully crafted interview based on his known philosophies, tone, and vision for technology. Interviewer (Sarah Chen, Tech Vision Magazine): Mr.
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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 K2.6877 words
1. Experienced Software Engineer Think of an LLM not as a program you write, but as a binary you compile from the entire internet. Instead of hand-crafting if/then rules, you define a single objective: given the context "The cat sat on the...", output the probability distribution over every possible next token, and…
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Qwen3 235B A22B 2507747 words
1. To the Experienced Software Engineer (Skeptical, Systems-Oriented) You’re right to be skeptical—on the surface, “predicting the next word” sounds like a glorified autocomplete. But think of it less as a single prediction and more as a high-dimensional state machine trained across petabytes of human-generated text.
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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…

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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Qwen3 235B A22B 2507207 words
Dish Name: Golden Garbanzo Drizzle A cozy, savory-spiced chickpea stew with a honey-lime finish — simple, satisfying, and ready in minutes. Ingredients (7 common pantry staples): 1 can (15 oz) chickpeas (garbanzo beans), drained and rinsed 1 can (15 oz) diced tomatoes (undrained) 2 tbsp olive oil 1 tsp ground cumin ½…
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Our Verdict
Kimi K2.6
Kimi K2.6
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507

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

Qwen3 235B A22B 2507 costs 4706x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Kimi K2.6
Input
$0.95
Output
$4.00
Qwen3 235B A22B 2507
Input
$0.000
6333× cheaper
Output
$0.001
4706× cheaper

Qwen3 235B A22B 2507 is cheaper on both: 6333× input, 4706× output.

Where to run it

30 hosts, cheapest first

Kimi K2.621 hosts
HostInOutContextUptime
IInceptronint4$0.47 in·$2.83 out·262k·99.7% upDDigitalOcean$0.57 in·$2.40 out·262k·99.9% upDDecartfp4$0.59 in·$2.47 out·262k·96.3% upSStreamLakefp8$0.60 in·$2.52 out·256k·98.3% upCCoreWeavefp4$0.65 in·$3.41 out·262k·99.9% upCCrusoebf16$0.70 in·$3.50 out·262k·99.3% up
15 more hostsFewer hosts
DDeepInfrafp4$0.75 in·$3.50 out·262k·98.8% upPParasailint4$0.75 in·$3.50 out·262k·99.8% upVVeniceint4$0.75 in·$3.50 out·256k·95.9% upSSiliconFlowfp8$0.77 in·$3.40 out·262k·99.8% upNNovita$0.80 in·$3.40 out·262k·99.6% upGGMI Cloudfp8$0.85 in·$3.60 out·262k·90% upAAtlasCloudint4$0.95 in·$4.00 out·262k·98.5% upBaidu Qianfanfp4$0.95 in·$4.00 out·262k·100% upBBasetenfp4$0.95 in·$4.00 out·262k·99.2% upCloudflare Workers AI$0.95 in·$4.00 out·262k·100% upFFireworks$0.95 in·$4.00 out·262k·0% upMoonshot AIint4$0.95 in·$4.00 out·262k·99.5% upSSail Researchint4$1.00 in·$4.00 out·262k·100% upPPhala$1.09 in·$4.60 out·262k·99.5% upCChutesint4degraded$0.50 in·$2.85 out·262k·97.9% up
Qwen3 235B A22B 25079 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·98.6% upDDeepInfrafp8$0.09 in·$0.55 out·262k·96.3% upNNovitafp8$0.09 in·$0.58 out·131k·98.3% upPParasailfp8$0.14 in·$0.80 out·131k·99.9% upAlibaba Cloud$0.15 in·$0.60 out·131k·100% upVVenicefp8$0.15 in·$0.75 out·128k·96.1% up
3 more hostsFewer hosts
NNebiusfp8$0.20 in·$0.60 out·262k·95.4% upSStreamLake$0.21 in·$0.84 out·128k·99.1% upGoogle Vertex AI$0.22 in·$0.88 out·262k·99.8% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
28%

Qwen3 235B A22B 2507 uses 13.2x more emoji

Kimi K2.6
Qwen3 235B A22B 2507
57%Vocabulary57%
16wSentence Length18w
0.37Hedging0.40
4.3Bold5.9
2.0Lists4.8
0.03Emoji0.45
0.53Headings1.07
0.16Transitions0.11
Based on 27 + 18 text responses
Research

What we learned reading every model

FAQ

Common questions

Kimi K2.6 is developed by Moonshot AI while Qwen3 235B A22B 2507 is developed by Qwen. You can compare their actual outputs across 36 challenges on Rival to see how they differ in practice.

It depends on your use case. Kimi K2.6 and Qwen3 235B A22B 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 36 challenges so you can judge which fits your needs best.

Kimi K2.6 costs $0.95/M input tokens and Qwen3 235B A22B 2507 costs $0.00015/M input tokens. Qwen3 235B A22B 2507 is $0.95/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 K2.6 and Qwen3 235B A22B 2507 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 K2.6 logo
Kimi K2.658 outputs, specs and price
Qwen3 235B A22B 2507 logo
Qwen3 235B A22B 250736 outputs, specs and price
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