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  5. Kimi K3vsQwen3.7 Flash
Updated Jul 2026

Kimi K3vsQwen3.7 Flash

Qwen3.7 Flash is cheaper than Kimi K3 at $0.03/M vs $3/M input tokens.

Kimi K3 and Qwen3.7 Flash compared across 13 shared prompts
SpecKimi K3Qwen3.7 Flash
Input price$3/M tokens$0.03/M tokens
Output price$15/M tokens$0.13/M tokens
Context window1.0M tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedJul 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 prompts both answered. Formatting stripped, words untouched.

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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Qwen3.7 Flash1,322 words
This agreement contains several highly one-sided provisions that create significant legal, financial, and operational risks for the contractor. Below is a clause-by-clause analysis identifying exploitation risks, recommended modifications, and the underlying legal reasoning. Note: Contract law varies by jurisdiction.
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.
Read the full answer
Qwen3.7 Flash1,038 words
For the Experienced Software Engineer Think of an LLM’s training process less as “teaching” and more as optimizing a high-dimensional function across a petabyte-scale dataset, much like you’d architect a distributed system to handle massive throughput.
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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 K31,296 words
The Decision First I'm disclosing. Not because I'm choosing ethics over shareholder value, but because concealment is the value-destroying path on every axis — legal, financial, and human.
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Qwen3.7 Flash1,240 words
This is a high-stakes crisis requiring decisive, legally compliant, ethically grounded, and strategically coordinated action. Below is a structured, hour-by-hour executive playbook for the next 48 hours, followed by cross-cutting rationale addressing your specified dimensions.
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 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.
Read the full answer
Qwen3.7 Flash1,067 words
Here’s a structured breakdown of the critical failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with targeted solutions and their trade-offs. 🔴 1.
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 K3356 words
Your First Month: A Simple Health Foundation Golden rule: Don't change everything at once. Each week, layer in small habits across three areas. Consistency beats intensity every time.
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Qwen3.7 Flash763 words
🌱 30-Day Health & Longevity Starter Plan This plan focuses on the three most evidence-backed pillars of longevity: Nutrition, Movement, and Sleep/Recovery. It’s designed for beginners: low barrier to entry, zero equipment required, and built on consistency over intensity. You’ll progress gradually so habits stick.
Read the full answer

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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Qwen3.7 Flash1,381 words
This counterfactual traces a plausible diffusion curve for an early transistor invention, acknowledging that while the underlying physics could be known in 1920, practical adoption would be constrained by materials science, precision manufacturing, and institutional readiness.
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Our Verdict
Kimi K3
Kimi K3
Qwen3.7 Flash
Qwen3.7 FlashRunner-up

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

Qwen3.7 Flash costs 115x less per token.

Too close to call
API pricing

Cost per 1M tokens

Kimi K3
Input
$3.00
Output
$15.00
Qwen3.7 Flash
Input
$0.03
100× cheaper
Output
$0.13
115× cheaper

Qwen3.7 Flash is cheaper on both: 100× input, 115× output.

Where to run it

18 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
Qwen3.7 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.03 in·$0.13 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 K3 is developed by Moonshot AI while Qwen3.7 Flash is developed by Qwen. Kimi K3 has a 1.0M token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. Kimi K3 and Qwen3.7 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

Kimi K3 costs $3/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $2.97/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 Qwen3.7 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

Kimi K3 logo
Kimi K358 outputs, specs and price
Qwen3.7 Flash logo
Qwen3.7 Flash13 outputs, specs and price
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