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  5. Hy3vsKimi K2 Thinking
Updated Jul 2026

Hy3vsKimi K2 Thinking

Hy3 is cheaper than Kimi K2 Thinking at $0.132/M vs $0.6/M input tokens.

Hy3 and Kimi K2 Thinking compared across 14 shared prompts
SpecHy3Kimi K2 Thinking
Input price$0.132/M tokens$0.6/M tokens
Output price$0.528/M tokens$2.5/M tokens
Context window262K tokens262K tokens
Parameters295B1T (32B active)
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Nov 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 14 prompts both answered. Formatting stripped, words untouched.

Advanced Longevity Plan (Biohacker)

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

Hy3498 words
The 90-Day Biohacker Longevity & Performance Protocol Goal: Maximize healthspan, cognitive resilience, and physical capacity via quantified self, metabolic flexibility, and targeted compounds. Assumptions: Healthy adult, experienced with fasting/exercise, access to wearables & supplements. I.
Read the full answer
Kimi K2 Thinking1,281 words
The Biohacker's 3-Month Longevity Optimization Protocol CRITICAL DISCLAIMER: This is an advanced experimental protocol for experienced biohackers. All interventions require medical supervision, baseline blood work, and continuous biomarker monitoring. Many compounds mentioned exist in legal/regulatory gray areas.
Read the full answer

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…

Hy3997 words
Assumptions / Starting Point Current time: Monday 9:00 AM. Board meeting: Wednesday 9:00 AM (Hour 48). Earnings call: Thursday 9:00 AM (Hour 72). Drug: $2B revenue, 4M patients, liver failure 1/8,000 over 5 yrs (~500 total, ~100/yr).
Read the full answer
Kimi K2 Thinking1,488 words
48-Hour Crisis Action Plan: Drug Safety Disclosure Immediate Core Principle: Patient safety and regulatory compliance supersede short-term financial considerations. Deliberate concealment creates greater legal liability, catastrophic reputational risk, and preventable patient deaths.
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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…

Hy3178 words
Dish Name: Ruby Hurricane Pasta Ingredients (exactly 7 common pantry staples): Spaghetti (or any dry pasta) Canned diced tomatoes Garlic (pre-minced or whole cloves) Extra-virgin olive oil Red pepper flakes Salt Grated Parmesan (shelf-stable style) (Water for boiling pasta is assumed free and not counted.)
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Kimi K2 Thinking137 words
Creative Name: Midnight Peanut Noodles Ingredients: 8 oz dried spaghetti or any pasta 1/3 cup creamy peanut butter 3 tablespoons soy sauce 2 cloves garlic, minced 2 tablespoons vegetable oil 1 tablespoon sugar 1 teaspoon hot sauce (or pinch of red pepper flakes) Instructions: Bring a large pot of salted water to boil.
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…

Hy3921 words
Premise: A functional solid-state transistor (germanium point-contact or junction) is demonstrated in 1920, with steady refinement through the interwar years. Vacuum tubes are not immediately displaced, but by the early 1930s transistors are reliable enough for niche military and telecom use, and by the late 1930s they…
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Kimi K2 Thinking1,755 words
The 1920 Transistor: A Counterfactual History The First Decade (1920-1930): Seeds of Revolution Immediate Technological Effects: Bell Labs' 1920 demonstration of point-contact transistors would initially seem like a curiosity.
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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…

Hy3975 words
Below is a breakdown of the major failure modes, race conditions, and scaling bottlenecks in the described architecture, followed by targeted fixes and their trade-offs.
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Kimi K2 Thinking1,188 words
Here are the critical issues in this architecture, categorized by type: Race Conditions & Data Consistency Issues 1. Client Clock Synchronization in Last-Write-Wins Problem: Client-generated timestamps are unreliable (clock skew, manual adjustment).
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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…

Hy3816 words
For the Experienced Software Engineer (distributed systems/APIs, no ML, skeptical) You’re used to building systems where explicit logic, endpoints, and state machines handle requests.
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Kimi K2 Thinking1,024 words
1. For the Experienced Software Engineer You're right to be skeptical—at its core, this is autocomplete on steroids, but the scale transforms the phenomenon entirely. Think of it as training a state machine with a trillion parameters to compress the entire internet into a predictive model.
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Our Verdict
Hy3
Hy3
Kimi K2 Thinking
Kimi K2 Thinking

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

Hy3 costs 4.7x less per token.

Too close to call
API pricing

Cost per 1M tokens

Hy3
Input
$0.13
4.5× cheaper
Output
$0.53
4.7× cheaper
Kimi K2 Thinking
Input
$0.60
Output
$2.50

Hy3 is cheaper on both: 4.5× input, 4.7× output.

Where to run it

8 hosts, cheapest first

Hy36 hosts
HostInOutContextUptime
DDeepInfrafp4$0.13 in·$0.53 out·262k·99.7% upTencentfp8$0.13 in·$0.53 out·262k·99.9% upGGMI Cloudbf16$0.14 in·$0.58 out·262k·98.6% upNNovita$0.14 in·$0.58 out·262k·100% upPPhala$0.15 in·$0.64 out·262k·100% upAAtlasCloudfp8$0.20 in·$0.80 out·262k·99.9% up
Kimi K2 Thinking2 hosts
HostInOutContextUptime
Google Vertex AI$0.60 in·$2.50 out·262k·100% upNNovitabf16$0.60 in·$2.50 out·262k·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

Hy3 is developed by Tencent while Kimi K2 Thinking is developed by Moonshot AI. Hy3 has a 262K token context window vs Kimi K2 Thinking's 262K. You can compare their actual outputs across 14 challenges on Rival to see how they differ in practice.

It depends on your use case. Hy3 and Kimi K2 Thinking each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 14 challenges so you can judge which fits your needs best.

Hy3 costs $0.132/M input tokens and Kimi K2 Thinking costs $0.6/M input tokens. Hy3 is $0.47/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 Hy3 and Kimi K2 Thinking 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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