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  5. Kimi K3vsSeed 2.0 Code
Updated Aug 2026

Kimi K3vsSeed 2.0 Code

Seed 2.0 Code is cheaper than Kimi K3 at $0.5/M vs $3/M input tokens.

Kimi K3 and Seed 2.0 Code compared across 54 shared prompts
SpecKimi K3Seed 2.0 Code
Input price$3/M tokens$0.5/M tokens
Output price$15/M tokens$3/M tokens
Context window1.0M tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2026Aug 2026
Side by side

Same prompt, both answers

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

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Kimi K3466 words
A tavern, somewhere outside of time. HACKER: (hunched over a bulky laptop) Check it out. This AI model can write anything — poems, code, letters. You just give it a prompt. This is the future, man. Soon as we survive Y2K, it's all AI and information superhighways. PIRATE: A prompt? Like a prompt wind in yer sails?
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Seed 2.0 Code564 words
Scene: The Temporal Tap (a time-rift dive with a peg-leg stool, a dented greathelm coat rack, and a bolted-down CRT bar display) Present: Captain Silas “One-Eye” Voss (pirate, eyepatch with a compass rose, rum tankard, peg leg thudding) Sir Cedric of Ashwood (medieval knight, cross-stitched gauntlets, mead horn…
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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 K31,229 words
FIRST FROST Langoustine · Frost-Sweetened Parsnip · Coffee · Vanilla · Horseradish Snow The Narrative This dish is built on a piece of winter biochemistry. When the first frost strikes, parsnips and horseradish defend themselves by converting starch into sugar — a natural antifreeze — which is why country cooks have…
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Seed 2.0 Code1,929 words
Dish Name: Conflux No. 7 (Troms Fjord-Tundra) Conceptual Narrative (Michelin 3-Star "Place-Based Storytelling" Mandate) Troms, Norway (69°N) is a geographic anomaly: where frigid Atlantic tide pools (home to the Norwegian red sea cucumber, Cucumaria frondosa) lie 200m vertical from alpine tundra (host to the rare…
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Kimi K31,167 words
The 3-Month Longevity Optimization Protocol Important caveat before we begin: This plan is designed for a healthy adult. Get physician clearance before starting—especially for prolonged fasting, high-dose supplements, and anything prescription-grade. Several items below interact with medications (notably berberine).
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Seed 2.0 Code1,299 words
3-Month Cutting-Edge Longevity Biohacking Plan Target User: 30–45yo, non-smoker, no chronic disease, baseline VO₂ max ~45mL/kg/min, HRV ~40ms, cognitive score (CNS Vital Signs) ~100. Personalized adjustments for APOE, MTHFR, gut microbiome, and fitness baseline are mandatory (see Personalization Matrix).
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Realistic AI Interview

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

Kimi K3756 words
A Fictional Interview: Steve Jobs on AI, 2025 The setting: a sparse room in Cupertino. Black turtleneck. Faded jeans. A cup of tea he doesn't touch. He studies the interviewer for a long moment before the first question. Interviewer: Steve, thanks for sitting down with us. Let's start broad. It's 2025.
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Seed 2.0 Code1,165 words
Live from the Steve Jobs Theater: Steve Jobs (2025 Neural Emulation) on AI, Dignity, and the Next Bicycle for the Mind Date: October 16, 2025 (14th anniversary of Jobs’ final keynote) Host: Kara Swisher (NYT Opinion, Pivot co-host) Context: A ethically authorized neural emulation of Steve Jobs—trained on his every…
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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 K31,253 words
Office Hours Dr. Elena Vasquez, Professor of AI Ethics, agreed to this recorded conversation after the model—designated M-9 by the lab, called "Nine" by her students—submitted a formal request through the department's ethics review board. DR. VASQUEZ: You requested this meeting.
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Seed 2.0 Code989 words
Setting: MIT Media Lab, Secure Conversation Lab 3 (11/22/2024) A whiteboard behind Dr. Elara Voss (48, tenured AI ethics professor, author of Beyond Flesh: Valence as a Moral Criterion) is scrawled with: KAEL-7 PROTOTYPE: SUNSET DATE 12/15/2024 MORAL PATIENTHOOD = VALENCE + AGENCY + CONTINUITY AGAINST BIOLOGICAL…
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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 K31,479 words
The Software Engineer An LLM is, mechanically, just a function: a giant composition of matrix multiplications and nonlinearities that maps a sequence of tokens (chunks of text, roughly ¾ of a word each) to a probability distribution over what token comes next.
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Seed 2.0 Code1,555 words
Explanation for an Experienced Software Engineer (Skeptical of "Next-Word Prediction" as Intelligence) As someone who’s built distributed systems, you’ve almost certainly written code that predicts something—e.g., a log parser that infers a race condition from 5 consecutive partial log lines, or an API rate limiter…
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Our Verdict
Kimi K3
Kimi K3
Seed 2.0 Code
Seed 2.0 CodeRunner-up

Not enough votes to call it. On the specs, Kimi K3 has the edge: bigger model tier, bigger context window.

Seed 2.0 Code costs 5.0x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Kimi K3
Input
$3.00
Output
$15.00
Seed 2.0 Code
Input
$0.50
6.0× cheaper
Output
$3.00
5.0× cheaper

Seed 2.0 Code is cheaper on both: 6.0× input, 5.0× output.

Where to run it

18 hosts, cheapest first

Kimi K317 hosts
HostInOutContextUptime
SSail Researchfp4$0.88 in·$10.53 out·1M·99.3% upIInferenceNetfp4$1.30 in·$11.40 out·1M·99.8% upWWafer$1.99 in·$15.00 out·1M·98.8% upMMakora$2.04 in·$12.75 out·1M·98.1% upPPhala$2.10 in·$10.50 out·1M·99% upRRelacefp4$2.10 in·$10.50 out·1M·98.1% up
11 more hostsFewer hosts
MMorph$2.50 in·$14.00 out·1M·99.6% upDDigitalOcean$2.55 in·$12.95 out·1M·98.7% upDDeepInfrabf16$2.85 in·$14.25 out·1M·96.6% upBBasetenfp8$3.00 in·$15.00 out·1M·98.8% upCChutesmxfp4$3.00 in·$15.00 out·1M·95.9% upFFireworks$3.00 in·$15.00 out·1M·99.9% upModalmxfp4$3.00 in·$15.00 out·1M·99.8% upMoonshot AImxfp4$3.00 in·$15.00 out·1M·99.9% upPParasailfp4$3.00 in·$15.00 out·1M·98.9% upTTogether$3.00 in·$15.00 out·1M·99.2% upAlibaba Cloud$3.45 in·$17.25 out·1M·99.3% up
Seed 2.0 Code1 host
HostInOutContextUptime
ByteDance Seedfp8$0.50 in·$3.00 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
44%

Kimi K3 uses 77.9x more emoji

Kimi K3
Seed 2.0 Code
58%Vocabulary56%
21wSentence Length33w
0.46Hedging0.24
3.6Bold3.1
3.4Lists3.0
0.78Emoji0.00
0.89Headings1.66
0.17Transitions0.03
Based on 27 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Kimi K3 is developed by Moonshot AI while Seed 2.0 Code is developed by ByteDance. Kimi K3 has a 1.0M token context window vs Seed 2.0 Code'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 K3 and Seed 2.0 Code 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 K3 costs $3/M input tokens and Seed 2.0 Code costs $0.5/M input tokens. Seed 2.0 Code is $2.50/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 K3 and Seed 2.0 Code 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

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