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  5. GLM 4.5vsLing 3.0 Flash
Updated Jul 2026

GLM 4.5vsLing 3.0 Flash

Ling 3.0 Flash is cheaper than GLM 4.5 at $0.021/M vs $0.6/M input tokens.

GLM 4.5 and Ling 3.0 Flash compared across 3 shared prompts
SpecGLM 4.5Ling 3.0 Flash
Input price$0.6/M tokens$0.021/M tokens
Output price$2.2/M tokens$0.063/M tokens
Context window128K tokens262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2025Jul 2026
Side by side

Same prompt, both answers

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

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 4.5668 words
For the Experienced Software Engineer (Distributed Systems/APIs Background) Think of an LLM as a massively parallel "routing engine" for language, where attention mechanisms act like dynamic load balancers. Instead of routing network packets, it routes contextual relationships across tokens in a sequence.
Read the full answer
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.
Read the full answer

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 4.5209 words
Pantry Pride Pasta A quick, savory pasta dish that transforms basic pantry staples into a flavorful meal! Ingredients (7): Pasta (e.g., spaghetti or penne) Olive oil Garlic (2-3 cloves, minced) Canned diced tomatoes (1 can, ~14 oz) Dried oregano (1 tsp) Salt (to taste) Black pepper (to taste) Instructions: Cook pasta…
Read the full answer
Ling 3.0 Flash248 words
🍝 Honey Fire Twirls A sticky-sweet, spicy, savory pasta that comes together in minutes. 🧺 Ingredients (7 pantry staples) Spaghetti (or penne) — 8 oz Olive oil — 2 tablespoons Garlic, minced — 4 cloves Honey — 3 tablespoons Soy sauce — 2 tablespoons Red pepper flakes — ½ teaspoon (adjust to taste) Parmesan cheese…
Read the full answer
Our Verdict
Ling 3.0 Flash
Ling 3.0 Flash
GLM 4.5
GLM 4.5Runner-up

Not enough votes to call it. On the specs, Ling 3.0 Flash has the edge: bigger model tier, newer, bigger context window.

Ling 3.0 Flash costs 35x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 4.5
Input
$0.60
Output
$2.20
Ling 3.0 Flash
Input
$0.02
29× cheaper
Output
$0.06
35× cheaper

Ling 3.0 Flash is cheaper on both: 29× input, 35× output.

Where to run it

3 hosts, cheapest first

GLM 4.51 host
HostInOutContextUptime
Z.aifp8$0.60 in·$2.20 out·131k·100% up
Ling 3.0 Flash2 hosts
HostInOutContextUptime
NNovita$0.02 in·$0.06 out·262k·100% upDDeepInfrabf16$0.06 in·$0.18 out·131k·99.5% up

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

Research

What we learned reading every model

FAQ

Common questions

GLM 4.5 is developed by Zhipu AI while Ling 3.0 Flash is developed by inclusionAI. GLM 4.5 has a 128K token context window vs Ling 3.0 Flash'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 4.5 and Ling 3.0 Flash 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 4.5 costs $0.6/M input tokens and Ling 3.0 Flash costs $0.021/M input tokens. Ling 3.0 Flash is $0.58/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 4.5 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

GLM 4.5 logo
GLM 4.559 outputs, specs and price
Ling 3.0 Flash logo
Ling 3.0 Flash3 outputs, specs and price
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