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  5. GLM 5.1vsQwen3.8 Omni Flash
Updated Sep 2026

GLM 5.1vsQwen3.8 Omni Flash

Qwen3.8 Omni Flash is cheaper than GLM 5.1 at $0.15/M vs $1.4/M input tokens.

GLM 5.1 and Qwen3.8 Omni Flash compared across 9 shared prompts
SpecGLM 5.1Qwen3.8 Omni Flash
Input price$1.4/M tokens$0.15/M tokens
Output price$4.4/M tokens$0.47/M tokens
Context window203K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 4 of the 9 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 5.1265 words
Creative Name: Midnight Maple Peanut Butter Bars Prep time: 10 minutes Cook time: 0 minutes (Chill time: 30 minutes) Ingredients (Exactly 7): Rolled oats (1 cup) Creamy peanut butter (1/2 cup) Maple syrup (1/3 cup) Semi-sweet chocolate chips (1/4 cup) Vanilla extract (1 tsp) Ground cinnamon (1/2 tsp) Kosher salt (1/4…
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Qwen3.8 Omni Flash175 words
Buttery Cloud Pancakes A soft, golden pancake stack made with just 7 pantry staples—no special mix-ins, no fancy tools, just simple comfort. Ingredients All-purpose flour Granulated sugar Baking powder Fine salt Milk Egg Butter Prep Time 10 minutes Cook Time 12 minutes Serves 2–3 Instructions In a bowl, whisk together…
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…

GLM 5.1717 words
This 1-month plan is designed to build a foundation for longevity without overwhelming you. The secret to long-term success is consistency over intensity. Instead of overhauling your life overnight, you will add one small, manageable habit each week across three core pillars: Movement, Nourishment, and Sleep.
Read the full answer
Qwen3.8 Omni Flash712 words
A Simple 1-Month Health & Longevity Starter Plan Goal: Build sustainable habits—not perfection—around diet, exercise, and recovery/sleep. Time commitment: Small daily actions plus 2–3 short workouts per week. The 3 Key Areas Diet: Add more good foods before restricting Beginner rule: Focus on adding, not removing.
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 5.1805 words
1. The Experienced Software Engineer Think of an LLM not as a chatbot, but as a massive, distributed probabilistic state machine. During training, it ingests terabytes of text and runs a continuous optimization loop to adjust billions of floating-point weights.
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Qwen3.8 Omni Flash913 words
For the experienced software engineer A large language model is best thought of as a gigantic, parameterized probabilistic function that maps a sequence of tokens to a probability distribution over the next token.
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GLM 5.1877 words
Here are the three weakest claims in the MindMeld AI pitch, along with the logical reasoning for their vulnerabilities and concrete ways to strengthen them. The Technology Claim: "Predicts what you want to type before you think it" & "94% accuracy with any language" Why it’s weak: This claim defies basic neuroscience…
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Qwen3.8 Omni Flash2,971 words
The three weakest claims—ranked by how likely they are to fail investor diligence—are: “94% accuracy… works with any language, any device.” “TAM: $180B” based on 3.5B smartphone users. “FDA clearance” consuming 40% of the Series A raise.
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Our Verdict
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash
GLM 5.1
GLM 5.1Runner-up

Not enough votes to call it. On the specs, Qwen3.8 Omni Flash has the edge: newer, bigger context window.

Qwen3.8 Omni Flash costs 9.4x less per token.

Too close to call
API pricing

Cost per 1M tokens

GLM 5.1
Input
$1.40
Output
$4.40
Qwen3.8 Omni Flash
Input
$0.15
9.3× cheaper
Output
$0.47
9.4× cheaper

Qwen3.8 Omni Flash is cheaper on both: 9.3× input, 9.4× output.

Where to run it

15 hosts, cheapest first

GLM 5.114 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.96 in·$3.03 out·203k·99.9% upSStreamLakefp8$0.97 in·$3.04 out·200k·99.8% upCChutesfp8$0.98 in·$3.08 out·203k·91.3% upDDeepInfrafp4$1.05 in·$3.50 out·203k·99.9% upSSiliconFlowfp8$1.19 in·$3.74 out·205k·100% upPPhala$1.21 in·$4.20 out·203k·89.8% up
8 more hostsFewer hosts
AAtlasCloudfp8$1.26 in·$3.96 out·203k·99.3% upAlibaba Cloudfp8$1.33 in·$4.18 out·203k·99.7% upNNovitafp8$1.38 in·$4.40 out·205k·99.5% upFFriendli$1.40 in·$4.40 out·203k·100% upGGMI Cloudfp8$1.40 in·$4.40 out·203k·98.9% upNNebiusfp8$1.40 in·$4.40 out·203k·97.1% upZ.aifp8$1.40 in·$4.40 out·203k·99.9% upVVenicefp8$1.40 in·$4.40 out·200k·95.5% up
Qwen3.8 Omni Flash1 host
HostInOutContextUptime
Alibaba Clouddegraded$0.15 in·$0.47 out·1M·99% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GLM 5.1 is developed by Z.ai while Qwen3.8 Omni Flash is developed by Qwen. GLM 5.1 has a 203K token context window vs Qwen3.8 Omni Flash's 1.0M. You can compare their actual outputs across 9 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 5.1 and Qwen3.8 Omni Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 9 challenges so you can judge which fits your needs best.

GLM 5.1 costs $1.4/M input tokens and Qwen3.8 Omni Flash costs $0.15/M input tokens. Qwen3.8 Omni Flash is $1.25/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 5.1 and Qwen3.8 Omni 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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