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  5. GLM 5.3vsQwen3.8 2.4T A95B
Updated Aug 2026

GLM 5.3vsQwen3.8 2.4T A95B

GLM 5.3 is cheaper than Qwen3.8 2.4T A95B at $0.6538/M vs $2/M input tokens.

GLM 5.3 and Qwen3.8 2.4T A95B compared across 3 shared prompts
SpecGLM 5.3Qwen3.8 2.4T A95B
Input price$0.6538/M tokens$2/M tokens
Output price$2.0548/M tokens$6/M tokens
Context window1.3M tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Aug 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 5.3210 words
Golden Pantry Fried Rice Total Time: 20 minutes (5 min prep, 15 min cook) Ingredients (7 pantry staples) Cooked white rice (day-old is best) Eggs Soy sauce Garlic (minced or garlic powder) Frozen peas and carrots Canned corn Vegetable oil Instructions Prep (5 min): Break up cold rice with a fork. Drain the corn.
Read the full answer
Qwen3.8 2.4T A95B166 words
Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
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 5.31,164 words
The Software Engineer You've probably written autocomplete logic before, so you're right to be skeptical of the naive version: a Markov chain that looks up "what usually comes after 'the'" is trivially dumb.
Read the full answer
Qwen3.8 2.4T A95B741 words
An experienced software engineer Think of an LLM as a stateless inference service whose API contract is: “give me a sequence of tokens, and I’ll return a probability distribution over the next token.” Training is a huge offline optimization job, not a database import.
Read the full answer
Our Verdict
GLM 5.3
GLM 5.3
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B

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

Too close to call
API pricing

Cost per 1M tokens

GLM 5.3
Input
$0.65
3.1× cheaper
Output
$2.05
2.9× cheaper
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00

GLM 5.3 is cheaper on both: 3.1× input, 2.9× output.

Where to run it

37 hosts, cheapest first

GLM 5.330 hosts
HostInOutContextUptime
MMorph$0.65 in·$2.06 out·1M·99.2% upRRekafp8$0.76 in·$2.57 out·262k·96.8% upNNovitafp8$0.78 in·$2.46 out·1M·88% upIio.netfp8$0.79 in·$2.68 out·262k·99.2% upPPhala$0.84 in·$2.64 out·1M·99.5% upDDeepInfrafp4$0.90 in·$3.00 out·1M·96.8% up
24 more hostsFewer hosts
IInferenceNetfp4$0.90 in·$3.00 out·1M·93.4% upDDigitalOcean$0.91 in·$2.86 out·1M·63.2% upIInceptronfp4$1.01 in·$3.29 out·1M·97.9% upSSail Researchfp8$1.02 in·$3.29 out·1M·92.5% upGGMI Cloudfp8$1.05 in·$3.30 out·1M·99% upMMakorafp4$1.05 in·$4.20 out·980k·82.1% upSSiliconFlowfp8$1.12 in·$3.52 out·1M·98.5% upAlibaba Cloud$1.19 in·$3.74 out·1M·100% upDDecartfp4$1.19 in·$3.74 out·1M·98.2% upFFriendli$1.26 in·$3.96 out·1M·100% upAAkashMLfp8$1.30 in·$4.40 out·1M·99.9% upAAtlasCloudfp8$1.40 in·$4.40 out·1M·98.6% upBaidu Qianfanfp8$1.40 in·$4.40 out·1M·99.8% upBBasetenfp4$1.40 in·$4.40 out·1M·99.6% upCloudflare Workers AI$1.40 in·$4.40 out·1.3M·99.9% upCCrusoefp4$1.40 in·$4.40 out·1M·96.7% upFFireworks$1.40 in·$4.40 out·1M·99.5% upMistralnvfp4$1.40 in·$4.40 out·1M·99.9% upModal$1.40 in·$4.40 out·1M·96.7% upPParasailfp8$1.40 in·$4.40 out·1M·98.6% upTTogether$1.40 in·$4.40 out·1M·96.1% upVVenice$1.40 in·$4.40 out·1M·62.5% upWWafer$1.40 in·$4.40 out·1M·97.9% upZ.aifp8$1.40 in·$4.40 out·1M·99.9% up
Qwen3.8 2.4T A95B7 hosts
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% upDDeepInfrafp4$2.00 in·$6.00 out·262k·99.9% upModal$2.00 in·$6.00 out·1M·99.9% upNNovita$2.00 in·$6.00 out·1M·100% upSSiliconFlowfp8$2.00 in·$6.00 out·1M·100% upTTogether$2.00 in·$6.00 out·1M·100% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·98.6% up

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

Research

What we learned reading every model

FAQ

Common questions

GLM 5.3 is developed by Zhipu AI while Qwen3.8 2.4T A95B is developed by Qwen. GLM 5.3 has a 1.3M token context window vs Qwen3.8 2.4T A95B's 1.0M. 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 5.3 and Qwen3.8 2.4T A95B 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 5.3 costs $0.6538/M input tokens and Qwen3.8 2.4T A95B costs $2/M input tokens. GLM 5.3 is $1.35/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 5.3 and Qwen3.8 2.4T A95B 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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Qwen3.8 2.4T A95B logo
Qwen3.8 2.4T A95B58 outputs, specs and price
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