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  5. GLM 4.7 FlashvsHy3
Updated Jul 2026

GLM 4.7 FlashvsHy3

GLM 4.7 Flash is cheaper than Hy3 at $0.07/M vs $0.132/M input tokens.

GLM 4.7 Flash and Hy3 compared across 3 shared prompts
SpecGLM 4.7 FlashHy3
Input price$0.07/M tokens$0.132/M tokens
Output price$0.4/M tokens$0.528/M tokens
Context window200K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJan 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 2 of the 3 prompts both answered. Formatting stripped, words untouched.

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…

GLM 4.7 Flash233 words
Recipe Name: The Velvet Garlic & Pea Pasta This dish is a creamy, comforting meal that relies on the natural starch of the pasta and the fats in the butter to create a rich sauce without needing cream.
Read the full answer
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.)
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…

GLM 4.7 Flash944 words
Experienced Software Engineer You are skeptical of the "magic" framing, and rightfully so. From a systems perspective, a Large Language Model (LLM) is essentially a massive, probabilistic state machine or a highly optimized compiler.
Read the full answer
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.
Read the full answer
Our Verdict
Hy3
Hy3
GLM 4.7 Flash
GLM 4.7 FlashRunner-up

Not enough votes to call it. On the specs, Hy3 has the edge: bigger model tier, newer.

Too close to call
API pricing

Cost per 1M tokens

GLM 4.7 Flash
Input
$0.07
1.9× cheaper
Output
$0.40
1.3× cheaper
Hy3
Input
$0.13
Output
$0.53

GLM 4.7 Flash is cheaper on both: 1.9× input, 1.3× output.

Where to run it

9 hosts, cheapest first

GLM 4.7 Flash3 hosts
HostInOutContextUptime
Cloudflare Workers AI$0.06 in·$0.40 out·131k·99.2% upVVenicefp8degraded$0.06 in·$0.40 out·128k·97.2% upNNovitabf16degraded$0.07 in·$0.40 out·200k·62.4% up
Hy36 hosts
HostInOutContextUptime
DDeepInfrafp4$0.13 in·$0.53 out·262k·99.5% upTencentfp8$0.13 in·$0.53 out·262k·99.8% upGGMI Cloudbf16$0.14 in·$0.58 out·262k·99.3% upNNovita$0.14 in·$0.58 out·262k·99.7% upPPhala$0.15 in·$0.64 out·262k·99.9% upAAtlasCloudfp8$0.20 in·$0.80 out·262k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 4.7 Flash is developed by Zhipu AI while Hy3 is developed by Tencent. GLM 4.7 Flash has a 200K token context window vs Hy3's 262K. You can compare their actual outputs across 3 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 4.7 Flash and Hy3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 3 challenges so you can judge which fits your needs best.

GLM 4.7 Flash costs $0.07/M input tokens and Hy3 costs $0.132/M input tokens. GLM 4.7 Flash is $0.06/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 GLM 4.7 Flash and Hy3 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

GLM 4.7 Flash logo
GLM 4.7 Flash58 outputs, specs and price
Hy3 logo
Hy33 outputs, specs and price
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