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  5. Kimi K3vsLing 3.0 Flash
Updated Jul 2026

Kimi K3vsLing 3.0 Flash

Ling 3.0 Flash is cheaper than Kimi K3 at $0.021/M vs $3/M input tokens.

Kimi K3 and Ling 3.0 Flash compared across 16 shared prompts
SpecKimi K3Ling 3.0 Flash
Input price$3/M tokens$0.021/M tokens
Output price$15/M tokens$0.063/M tokens
Context window1.0M tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 prompts both answered. Formatting stripped, words untouched.

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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Ling 3.0 Flash2,510 words
🍽️ TERRA NUDA — A Study in Forest Petrichor A Six-Component Dish Exploring the Ephemeral Moment After Rain Falls on a Living Forest 📖 CONCEPTUAL NARRATIVE Terra Nuda — Latin for "naked earth" — is inspired by the liminal moment immediately after a summer storm passes through a forest: the air thick with petrichor…
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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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Ling 3.0 Flash2,901 words
🧬 THE 90-DAY LONGEVITY OPTIMIZATION BLUEPRINT A Comprehensive Biohacking Protocol for Cellular Renewal, Cognitive Enhancement & Vitality Disclaimer: This protocol is for educational and informational purposes only. Many compounds listed (rapamycin, metformin, etc.) require physician supervision and prescription.
Read the full answer

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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Ling 3.0 Flash1,129 words
For the Experienced Software Engineer Think of an LLM as a system that learns a massive, multidimensional routing table. When you built distributed systems, you learned patterns from traffic logs — which endpoints get hammered at 3am, which failure modes correlate, which request chains tend to cascade.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Kimi K31,904 words
Contract Risk Analysis: Contractor Perspective Overall assessment: Every substantive clause in this agreement is one-sided in the Client's favor. Several are likely unenforceable as written, but enforceability only matters after expensive litigation — the practical risk is that these clauses give the Client leverage to…
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Ling 3.0 Flash2,036 words
Contract Analysis: Exploitative Clauses & Recommended Modifications Clause-by-Clause Analysis SCOPE — Unilateral Modification Without Compensation The Problem: Client can modify the scope at any time and for any reason without paying Contractor for the additional work.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Kimi K32,513 words
First, a caveat that shapes everything A 1920 transistor is a bigger counterfactual than it appears. The 1947 invention waited on quantum mechanics (band theory, 1928–31), ultra-pure germanium, and controlled doping.
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Ling 3.0 Flash3,452 words
The 1920 Transistor: A Counterfactual Cascade Through 1980 This is a rich counterfactual. A 27-year acceleration of the transistor doesn't just move technology forward — it restructures the causal chains of the 20th century.
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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 K31,542 words
Architecture Review: Collaborative Document Editor Overall assessment: The load-bearing problem is the sync layer — client-clock LWW + 2-second cross-server polling guarantees data loss and divergence under normal use.
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Ling 3.0 Flash2,291 words
Architecture Analysis: Real-Time Collaborative Document Editor WebSocket & Cross-Server Communication Issue: Siloed WebSocket Servers (Critical) Each API server only broadcasts changes to clients connected to that specific server.
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Our Verdict
Kimi K3
Kimi K3
Ling 3.0 Flash
Ling 3.0 Flash

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

Ling 3.0 Flash costs 238x 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
Ling 3.0 Flash
Input
$0.02
143× cheaper
Output
$0.06
238× cheaper

Ling 3.0 Flash is cheaper on both: 143× input, 238× output.

Where to run it

19 hosts, cheapest first

Kimi K317 hosts
HostInOutContextUptime
SSail Researchfp4$1.05 in·$13.00 out·1M·99.9% upIInferenceNetfp4$1.95 in·$9.75 out·1M·98.4% upPPhala$1.95 in·$9.75 out·1M·98.5% upRRelacefp4$1.95 in·$9.75 out·1M·99.3% upWWafer$2.49 in·$10.95 out·1M·99.9% upMMorph$2.50 in·$14.00 out·1M·98.8% up
11 more hostsFewer hosts
MMakora$2.55 in·$12.75 out·1M·97.2% upDDigitalOcean$2.55 in·$12.95 out·1M·99.5% upDDeepInfrabf16$2.85 in·$14.25 out·1M·92.1% upBBasetenfp8$3.00 in·$15.00 out·1M·98.7% upCChutesmxfp4$3.00 in·$15.00 out·1M·98.1% upFFireworks$3.00 in·$15.00 out·1M·100% upModalmxfp4$3.00 in·$15.00 out·1M·99.5% upMoonshot AImxfp4$3.00 in·$15.00 out·1M·99.9% upPParasailfp4$3.00 in·$15.00 out·1M·98.5% upTTogether$3.00 in·$15.00 out·1M·99.5% upAlibaba Cloud$3.45 in·$17.25 out·1M·97.5% up
Ling 3.0 Flash2 hosts
HostInOutContextUptime
NNovita$0.02 in·$0.06 out·262k·100% upDDeepInfrabf16$0.06 in·$0.18 out·131k·99.7% up

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

Research

What we learned reading every model

FAQ

Common questions

Kimi K3 is developed by Moonshot AI while Ling 3.0 Flash is developed by inclusionAI. Kimi K3 has a 1.0M token context window vs Ling 3.0 Flash's 262K. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. Kimi K3 and Ling 3.0 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 16 challenges so you can judge which fits your needs best.

Kimi K3 costs $3/M input tokens and Ling 3.0 Flash costs $0.021/M input tokens. Ling 3.0 Flash is $2.98/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 Ling 3.0 Flash 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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Ling 3.0 Flash16 outputs, specs and price
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