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  5. Gemini 2.5 Pro Preview 06-05vsQwen3.8 Max (0902)
Updated Sep 2026

Gemini 2.5 Pro Preview 06-05vsQwen3.8 Max (0902)

Gemini 2.5 Pro Preview 06-05 is cheaper than Qwen3.8 Max (0902) at $1.25/M vs $2/M input tokens.

Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902) compared across 10 shared prompts
SpecGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)
Input price$1.25/M tokens$2/M tokens
Output price$10/M tokens$6/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedJun 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 5 of the 10 prompts both answered. Formatting stripped, words untouched.

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…

Gemini 2.5 Pro Preview 06-05807 words
Of course. Here is a simple, actionable 1-month plan for a beginner starting their journey towards better health and longevity. Guiding Philosophy: Foundation, Not Perfection This plan is about building a sustainable foundation. The goal is consistency, not intensity. Don't worry about being perfect.
Read the full answer
Qwen3.8 Max (0902)536 words
The 30-Day Foundation Plan Core principle: Don't overhaul your life. Layer small wins that compound. 🏃 Area 1: Movement The goal isn't fitness. It's making your body a place you want to live in. Week 1 — Build the trigger Walk 15 minutes daily (same time each day to build the habit) No gym. No gear.
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…

Gemini 2.5 Pro Preview 06-05351 words
Of course! Here is a simple and delicious savory recipe using just seven common pantry ingredients. Golden Pantry Fritters These savory, crispy-on-the-outside, and tender-on-the-inside fritters are a perfect quick lunch, dinner, or satisfying snack.
Read the full answer
Qwen3.8 Max (0902)230 words
🍯 Midnight Crispy Chickpea Bowl A sweet-savory, crispy rice bowl that comes together faster than delivery. Ingredients (7) # Ingredient Amount 1 Canned chickpeas (drained & patted dry) 1 can (15 oz) 2 Soy sauce 3 tbsp 3 Honey 2 tbsp 4 Garlic (minced) 3 cloves 5 Vegetable oil 2 tbsp 6 Instant or leftover cooked rice 2…
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…

Gemini 2.5 Pro Preview 06-05989 words
Of course. Here is an explanation of how a large language model learns and generates text, tailored to each of the three audiences. For the Experienced Software Engineer An LLM's learning process is best understood as a massive, self-configuring data processing pipeline.
Read the full answer
Qwen3.8 Max (0902)1,046 words
For the Experienced Software Engineer Think of an LLM as a lossy compression function trained on a massive corpus. During training, you're essentially building a statistical model of "given this sequence of tokens, what's the probability distribution over the next token?"
Read the full answer

Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Gemini 2.5 Pro Preview 06-051,344 words
Of course. This is a great exercise. The proposed architecture has several critical flaws that would prevent it from functioning as a reliable, real-time collaborative editor at scale. Here is a breakdown of the issues, categorized for clarity.
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Qwen3.8 Max (0902)477 words
Architecture Failure Analysis: Real-Time Collaborative Editor Critical Issues (Data Loss / Correctness) Last-Write-Wins with Client Clocks — Fundamental Data Loss Problem: Client clocks are unreliable. They drift, can be manually set, and differ across timezones.
Read the full answer

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.…

Gemini 2.5 Pro Preview 06-05714 words
Of course. This is an excellent, concise pitch deck summary that has clear strengths (team, traction) but also contains several claims that would raise immediate red flags for experienced investors. Here are the 3 weakest claims, why they are weak, and how to strengthen them.
Read the full answer
Qwen3.8 Max (0902)582 words
The 3 Weakest Claims in the MindMeld AI Pitch The TAM Claim: "$180B" (Slide 4) Why it's weak: This is a textbook case of TAM inflation that immediately undermines credibility with any experienced investor.
Read the full answer
Our Verdict
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
Qwen3.8 Max (0902)
Qwen3.8 Max (0902)Runner-up

Not enough votes to call it. On the specs, Gemini 2.5 Pro Preview 06-05 has the edge: bigger model tier, major provider backing.

Too close to call
API pricing

Cost per 1M tokens

Gemini 2.5 Pro Preview 06-05
Input
$1.25
1.6× cheaper
Output
$10.00
Qwen3.8 Max (0902)
Input
$2.00
Output
$6.00
1.7× cheaper

Gemini 2.5 Pro Preview 06-05 wins input (1.6× cheaper)·Qwen3.8 Max (0902) wins output (1.7× cheaper)

Where to run it

3 hosts

Gemini 2.5 Pro Preview 06-052 hosts
HostInOutContextUptime
Google Vertex AI$1.25 in·$10.00 out·1M·96.2% upGoogle AI Studio$1.25 in·$10.00 out·1M·98.9% up
Qwen3.8 Max (0902)1 host
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% up

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

Research

What we learned reading every model

FAQ

Common questions

Gemini 2.5 Pro Preview 06-05 is developed by Google AI while Qwen3.8 Max (0902) is developed by Qwen. Gemini 2.5 Pro Preview 06-05 has a 1.0M token context window vs Qwen3.8 Max (0902)'s 1.0M. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

Gemini 2.5 Pro Preview 06-05 costs $1.25/M input tokens and Qwen3.8 Max (0902) costs $2/M input tokens. Gemini 2.5 Pro Preview 06-05 is $0.75/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 Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902) 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

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Same lab, same size, long tail

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Qwen3.8 Max (0902) logoQwen3.8 2.4T A95B logo
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Gemini 2.5 Pro Preview 06-05 logoLing 3.0 Flash VL (free) logo
Gemini 2.5 Pro Preview 06-05 vs Ling 3.0 Flash VL (free)New provider
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Qwen3.8 Max (0902) vs Llama 3 70BSame size
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Qwen3.8 Max (0902) vs Llama 3.1 70B (Instruct)Same size

Model pages

Gemini 2.5 Pro Preview 06-05 logo
Gemini 2.5 Pro Preview 06-0545 outputs, specs and price
Qwen3.8 Max (0902) logo
Qwen3.8 Max (0902)10 outputs, specs and price
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