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  5. GPT-6 Luna ProvsMiMo-V2-Flash
Updated Sep 2026

GPT-6 Luna ProvsMiMo-V2-Flash

MiMo-V2-Flash is cheaper than GPT-6 Luna Pro at $0/M vs $0.1/M input tokens.

GPT-6 Luna Pro and MiMo-V2-Flash compared across 20 shared prompts
SpecGPT-6 Luna ProMiMo-V2-Flash
Input price$0.1/M tokensFree
Output price$0.5/M tokensFree
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 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-6 Luna Pro127 words
Golden Pantry Pancakes Fluffy, lightly sweet pancakes made with everyday staples. Makes: About 6 small pancakes Prep time: 5 minutes Cook time: 10 minutes Ingredients 1 cup all-purpose flour 1 cup milk 1 egg 2 tablespoons sugar 1 teaspoon baking powder ¼ teaspoon salt 2 tablespoons butter, melted (plus a little for the…
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MiMo-V2-Flash370 words
Here is a recipe for a rich, savory dish that tastes like it took hours to make, but comes together with just a few staples. Dish Name: The Midnight Pantry Pasta Flavor Profile: Savory, Garlicky, and Umami-rich Total Time: 15–20 minutes The 7 Ingredients Pasta: (Spaghetti or Linguine work best) Butter: (Salted or…
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-6 Luna Pro1,215 words
Turbot, Sea Buckthorn, Mussel Beurre Blanc, and Celery-Root Silk Serves 4 A composed main course built around an unusual but harmonious pairing: briny mussel and turbot with intensely tart, apricot-like sea buckthorn.
Read the full answer
MiMo-V2-Flash1,713 words
Of course. Here is an innovative recipe for a multi-component dish designed to meet the exacting standards of a Michelin 3-star restaurant. Dish Title: "Boreal Echo" Conceptual Narrative: "Boreal Echo" is a culinary meditation on the forest floor after a cleansing rain.
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Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

GPT-6 Luna Pro1,661 words
The biggest change would not be that 1920 suddenly gets modern computers. It would be that governments and firms have six or seven extra decades to develop semiconductor materials, manufacturing, and applications.
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MiMo-V2-Flash1,595 words
Of course. This is a fascinating counterfactual. Here is a detailed tracing of the likely implications if the transistor had been invented in 1920. The Premise: The "1920 Transistor" For this scenario to be plausible, we must assume a "Garage Inventor" or a small, well-funded university lab in the US, Germany, or the…
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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-6 Luna Pro892 words
For an experienced software engineer Think of a language model as a system trained to continue sequences: given a prefix of text, it assigns probabilities to possible next tokens (tokens are pieces of words, not necessarily whole words) and learns to make the observed continuation likely.
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MiMo-V2-Flash893 words
Of course. Here is how to explain LLMs to each of those three audiences. For the Experienced Software Engineer (Skeptical, focused on implementation and practical limits) Think of a large language model not as a "brain" but as an incredibly sophisticated API that you can call with a context string.
Read the full answer

Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

GPT-6 Luna Pro888 words
LedgerLift (LLLT) — Investment Committee Memo Recommendation: Pass 12-month price target range: $28–44 per share LedgerLift has attractive customer economics, recurring revenue, and a credible path to margin expansion, but those strengths are already reflected in a $46 share price.
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MiMo-V2-Flash1,377 words
TO: Investment Committee FROM: [Your Name/Analyst] DATE: [Current Date] RE: Long Idea – LedgerLift (LLLT) – B2B Spend Management SaaS 1. Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $55 - $75 Current Price: $46 Implied Upside: 19% - 63% Thesis: LedgerLift is a high-quality, cash-rich…
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

GPT-6 Luna Pro434 words
Operating and debt schedule Conventions: Interest is calculated on beginning-of-year debt; the 1% Term Loan amortization is 1% of its original $480m principal ($4.8m annually). Mezzanine PIK accrues at 2% annually.
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MiMo-V2-Flash586 words
Simplified Year-by-Year Model (FY2026–FY2030) Entry (FY2025 Close) Enterprise Value (EV): $120m * 12.0x = $1,440m Transaction Fees: 2.0% * $1,440m = $28.8m (equity funded) Total Equity Required: $1,440m (purchase) + $28.8m (fees) = $1,468.8m Debt Issued: $120m * 5.5x = $660m (Term Loan $480m, Mezz $180m) Initial Debt…
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Our Verdict
GPT-6 Luna Pro
GPT-6 Luna Pro
MiMo-V2-Flash
MiMo-V2-Flash

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

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna Pro
Input
$0.10
Output
$0.50
MiMo-V2-Flash
Input
$0.000
Output
$0.000
Where to run it

2 hosts

GPT-6 Luna Pro2 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·98.6% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% up
MiMo-V2-Flash

No hosts listed on OpenRouter.

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

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Luna Pro is developed by OpenAI while MiMo-V2-Flash is developed by Xiaomi. GPT-6 Luna Pro has a 1.1M token context window vs MiMo-V2-Flash's 262K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Luna Pro and MiMo-V2-Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

GPT-6 Luna Pro costs $0.1/M input tokens and MiMo-V2-Flash costs $0/M input tokens. MiMo-V2-Flash is $0.10/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-6 Luna Pro and MiMo-V2-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

GPT-6 Luna Pro logo
GPT-6 Luna Pro20 outputs, specs and price
MiMo-V2-Flash logo
MiMo-V2-Flash59 outputs, specs and price
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