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  5. Ling 3.0 FlashvsMiMo-V2-Omni
Updated Jul 2026

Ling 3.0 FlashvsMiMo-V2-Omni

Ling 3.0 Flash is cheaper than MiMo-V2-Omni at $0.021/M vs $0.4/M input tokens.

Ling 3.0 Flash and MiMo-V2-Omni compared across 16 shared prompts
SpecLing 3.0 FlashMiMo-V2-Omni
Input price$0.021/M tokens$0.4/M tokens
Output price$0.063/M tokens$2/M tokens
Context window262K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedJul 2026Mar 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 16 prompts both answered. Formatting stripped, words untouched.

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…

Ling 3.0 Flash1,129 words
For the Experienced Software Engineer Think of an LLM as a system that learns a massive, multidimensional routing table. When you built distributed systems, you learned patterns from traffic logs — which endpoints get hammered at 3am, which failure modes correlate, which request chains tend to cascade.
Read the full answer
MiMo-V2-Omni951 words
Of course. Here are three tailored explanations of how large language models learn and generate text. For the Experienced Software Engineer Think of training a large language model not as teaching it rules, but as building an incredibly sophisticated, lossy compression algorithm for the entire public internet and a…
Read the full answer

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…

Ling 3.0 Flash2,510 words
🍽️ TERRA NUDA — A Study in Forest Petrichor A Six-Component Dish Exploring the Ephemeral Moment After Rain Falls on a Living Forest 📖 CONCEPTUAL NARRATIVE Terra Nuda — Latin for "naked earth" — is inspired by the liminal moment immediately after a summer storm passes through a forest: the air thick with petrichor…
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MiMo-V2-Omni815 words
"Moonlit Tidal Pool" A Meditation on the Sea at Night Conceptual Narrative This dish explores the liminal space where the ocean meets the shore under moonlight—capturing the briny depth of the sea, the mineral whisper of tidal rocks, and the ephemeral glow of bioluminescence.
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…

Ling 3.0 Flash568 words
🌱 Your 1-Month Health & Longevity Starter Plan 🥦 1. Diet — Nourish, Don't Deprive Week 1: Awareness Keep a food journal — just track what you eat (no judgment). This alone builds mindful eating habits. Add, don't subtract — introduce one extra serving of vegetables per meal.
Read the full answer
MiMo-V2-Omni558 words
🌱 Your 1-Month Health & Longevity Jumpstart Plan This plan focuses on sustainable, small changes in three core areas. The goal isn’t perfection—it’s building foundational habits that last. Week 1-2: Foundation & Awareness Focus on observation and gentle implementation. 1.
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…

Ling 3.0 Flash248 words
🍝 Honey Fire Twirls A sticky-sweet, spicy, savory pasta that comes together in minutes. 🧺 Ingredients (7 pantry staples) Spaghetti (or penne) — 8 oz Olive oil — 2 tablespoons Garlic, minced — 4 cloves Honey — 3 tablespoons Soy sauce — 2 tablespoons Red pepper flakes — ½ teaspoon (adjust to taste) Parmesan cheese…
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MiMo-V2-Omni227 words
🍝 Sunset Pasta A quick, vibrant dish that tastes like a cozy evening on a summer porch. Time: Prep 10 min Cook 15 min Serves: 2 Ingredients (7 pantry staples) Spaghetti or any pasta (8 oz / 225g) Canned crushed tomatoes (1 can, 14 oz / 400g) Garlic (3 cloves, minced) Olive oil (2 tbsp) Salt (to taste) Black pepper (to…
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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.…

Ling 3.0 Flash945 words
Three Weakest Claims in the MindMeld AI Pitch Deck "94% Accuracy" — Slide 3 (Solution) Why It's Weak This is presented as a single, impressive number with zero context, which makes it essentially meaningless — and likely misleading. Several critical questions go unanswered: What is the vocabulary size?
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MiMo-V2-Omni703 words
Based on the pitch deck summary, here are the three weakest claims, an analysis of their weaknesses, and concrete suggestions for improvement. Weakest Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy."
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Ling 3.0 Flash2,036 words
Contract Analysis: Exploitative Clauses & Recommended Modifications Clause-by-Clause Analysis SCOPE — Unilateral Modification Without Compensation The Problem: Client can modify the scope at any time and for any reason without paying Contractor for the additional work.
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MiMo-V2-Omni1,258 words
This contract is heavily one-sided in favor of the Client and contains several clauses that could be severely exploited against the Contractor. Here is a breakdown of the problematic clauses, suggested modifications, and the underlying legal reasoning.
Read the full answer
Our Verdict
Ling 3.0 Flash
Ling 3.0 Flash
MiMo-V2-Omni
MiMo-V2-OmniRunner-up

Not enough votes to call it. On the specs, Ling 3.0 Flash has the edge: bigger model tier, newer.

Ling 3.0 Flash costs 32x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Ling 3.0 Flash
Input
$0.02
19× cheaper
Output
$0.06
32× cheaper
MiMo-V2-Omni
Input
$0.40
Output
$2.00

Ling 3.0 Flash is cheaper on both: 19× input, 32× output.

Where to run it

2 hosts, cheapest first

Ling 3.0 Flash2 hosts
HostInOutContextUptime
NNovita$0.02 in·$0.06 out·262k·100% upDDeepInfrabf16$0.06 in·$0.18 out·131k·99.6% up
MiMo-V2-Omni

No hosts listed on OpenRouter.

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

Research

What we learned reading every model

FAQ

Common questions

Ling 3.0 Flash is developed by inclusionAI while MiMo-V2-Omni is developed by Xiaomi. Ling 3.0 Flash has a 262K token context window vs MiMo-V2-Omni's 262K. You can compare their actual outputs across 16 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 3.0 Flash and MiMo-V2-Omni each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 16 challenges so you can judge which fits your needs best.

Ling 3.0 Flash costs $0.021/M input tokens and MiMo-V2-Omni costs $0.4/M input tokens. Ling 3.0 Flash is $0.38/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 Ling 3.0 Flash and MiMo-V2-Omni 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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Ling 3.0 Flash vs Ling 3.0 Flash Fin (free)Same lab
Ling 3.0 Flash logoLing 3.0 Flash Sante (free) logo
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MiMo-V2-Omni logoMiMo-V2.6-Pro logo
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MiMo-V2-Omni logoMiMo-V2.6-Flash logo
MiMo-V2-Omni vs MiMo-V2.6-FlashSame lab
MiMo-V2-Omni logoOpenAI Codex Mini logo
MiMo-V2-Omni vs OpenAI Codex MiniNew provider
Ling 3.0 Flash logoCypher Alpha (free) logo
Ling 3.0 Flash vs Cypher Alpha (free)New provider
Ling 3.0 Flash logoDeepSeek V3.1 logo
Ling 3.0 Flash vs DeepSeek V3.1Same size
MiMo-V2-Omni logoDeepSeek Prover V2 logo
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Model pages

Ling 3.0 Flash logo
Ling 3.0 Flash16 outputs, specs and price
MiMo-V2-Omni logo
MiMo-V2-Omni53 outputs, specs and price
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