Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. GPT-5.3-CodexvsQwen3.8 Flash
Updated Aug 2026

GPT-5.3-CodexvsQwen3.8 Flash

Qwen3.8 Flash is cheaper than GPT-5.3-Codex at $0.15/M vs $1.75/M input tokens.

GPT-5.3-Codex and Qwen3.8 Flash compared across 8 shared prompts
SpecGPT-5.3-CodexQwen3.8 Flash
Input price$1.75/M tokens$0.15/M tokens
Output price$14/M tokens$0.47/M tokens
Context window400K tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedFeb 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 3 of the 8 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…

GPT-5.3-Codex203 words
Recipe: “Weeknight Volcano Pasta” 🌋🍝 A cozy, spicy-savory pasta made from pantry staples in about 25 minutes. Ingredients (7 pantry items) 8 oz dried pasta (any shape) 1 can (15 oz) cannellini or great northern beans, drained 1 can (14–15 oz) crushed tomatoes 2 tbsp olive oil 1 tsp garlic powder 1 tsp dried oregano…
Read the full answer
Qwen3.8 Flash147 words
Moon Halo Cookies A soft, golden sugar cookie with crisp edges and a tender center—made with just 7 pantry staples. Prep time: 10 minutes Cook time: 10 minutes Total time: 20 minutes Makes: About 16 cookies Ingredients 1/2 cup butter, softened 3/4 cup sugar 1 egg 1 teaspoon vanilla extract 1 1/2 cups all-purpose flour…
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…

GPT-5.3-Codex600 words
For the experienced software engineer Think of an LLM as a very large, probabilistic autocomplete service trained on a massive corpus of text and code. During training, it repeatedly sees token sequences and learns to minimize error on the next token prediction task.
Read the full answer
Qwen3.8 Flash983 words
For an experienced software engineer Training a large language model is not “just” making it guess the next word in isolation. It is fitting an enormous parameterized function to predict the next token conditioned on all previous tokens in a sequence.
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…

GPT-5.3-Codex470 words
Great goal. Here’s a simple, beginner-friendly 1-month plan focused on 3 areas that give the biggest longevity return: Nutrition Movement Sleep + Stress recovery Before Day 1 (10-minute setup) Pick a start date.
Read the full answer
Qwen3.8 Flash368 words
1-Month Beginner Health & Longevity Plan Focus areas: Nutrition, Movement, Sleep Week 1: Build the basics Nutrition Add 1 serving of vegetables to 2 meals per day. Drink water with each meal. Choose protein at most meals: eggs, beans, tofu, chicken, fish, yogurt. Movement Walk 10–15 minutes daily.
Read the full answer
Our Verdict
GPT-5.3-Codex
GPT-5.3-Codex
Qwen3.8 Flash
Qwen3.8 Flash

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

Qwen3.8 Flash costs 30x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT-5.3-Codex
Input
$1.75
Output
$14.00
Qwen3.8 Flash
Input
$0.15
12× cheaper
Output
$0.47
30× cheaper

Qwen3.8 Flash is cheaper on both: 12× input, 30× output.

Where to run it

3 hosts

GPT-5.3-Codex2 hosts
HostInOutContextUptime
Azure AI Foundry$1.75 in·$14.00 out·400k·100% upOpenAI$1.75 in·$14.00 out·400k·100% up
Qwen3.8 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.15 in·$0.47 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-5.3-Codex is developed by OpenAI while Qwen3.8 Flash is developed by Qwen. GPT-5.3-Codex has a 400K token context window vs Qwen3.8 Flash's 1.0M. You can compare their actual outputs across 8 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-5.3-Codex and Qwen3.8 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 8 challenges so you can judge which fits your needs best.

GPT-5.3-Codex costs $1.75/M input tokens and Qwen3.8 Flash costs $0.15/M input tokens. Qwen3.8 Flash is $1.60/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 GPT-5.3-Codex and Qwen3.8 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.

Keep exploring

More comparisons

Against the newest arrivals

GPT-5.3-Codex logoDeepSeek V4 Flash Vision Exp logo
GPT-5.3-Codex vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Qwen3.8 Flash logoSolar Pro 4 logo
Qwen3.8 Flash vs Solar Pro 4Landed Sep 2026
GPT-5.3-Codex logoHy3 logo
GPT-5.3-Codex vs Hy3Landed Sep 2026
Qwen3.8 Flash logoQwen3.7 Flash logo
Qwen3.8 Flash vs Qwen3.7 FlashLanded Sep 2026
GPT-5.3-Codex logoLing 3.0 Flash logo
GPT-5.3-Codex vs Ling 3.0 FlashLanded Sep 2026
Qwen3.8 Flash logoMuse Glimmer 30B logo
Qwen3.8 Flash vs Muse Glimmer 30BLanded Sep 2026
GPT-5.3-Codex logoGLM 5.3 logo
GPT-5.3-Codex vs GLM 5.3Landed Sep 2026
Qwen3.8 Flash logoTernary Bonsai 2 27B logo
Qwen3.8 Flash vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

GPT-5.3-Codex logoGPT-6 Astra Pro logo
GPT-5.3-Codex vs GPT-6 Astra ProSame lab
GPT-5.3-Codex logoGPT-6 Astra logo
GPT-5.3-Codex vs GPT-6 AstraSame lab
Qwen3.8 Flash logoQwen3.8 Max (0902) logo
Qwen3.8 Flash vs Qwen3.8 Max (0902)Same lab
Qwen3.8 Flash logoQwen3.8 2.4T A95B logo
Qwen3.8 Flash vs Qwen3.8 2.4T A95BSame lab
Qwen3.8 Flash logoGPT-5.2 logo
Qwen3.8 Flash vs GPT-5.2Cross-provider
Qwen3.8 Flash logoGPT-5.2 Chat logo
Qwen3.8 Flash vs GPT-5.2 ChatSame size
Qwen3.8 Flash logoGPT-5.2 Pro logo
Qwen3.8 Flash vs GPT-5.2 ProCross-provider
Qwen3.8 Flash logoGPT-5.3 Chat logo
Qwen3.8 Flash vs GPT-5.3 ChatSame size

Model pages

GPT-5.3-Codex logo
GPT-5.3-Codex53 outputs, specs and price
Qwen3.8 Flash logo
Qwen3.8 Flash8 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed