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  5. Ling 3.0 FlashvsMiniMax M2
Updated Jul 2026

Ling 3.0 FlashvsMiniMax M2

MiniMax M2 is cheaper than Ling 3.0 Flash at $0/M vs $0.021/M input tokens.

Ling 3.0 Flash and MiniMax M2 compared across 2 shared prompts
SpecLing 3.0 FlashMiniMax M2
Input price$0.021/M tokensFree
Output price$0.063/M tokensFree
Context window262K tokens205K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Oct 2025
Our Verdict
Ling 3.0 Flash
Ling 3.0 Flash
MiniMax M2
MiniMax M2Runner-up

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

Too close to call
API pricing

Cost per 1M tokens

Ling 3.0 Flash
Input
$0.02
Output
$0.06
MiniMax M2
Input
$0.000
Output
$0.000
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
MiniMax M2

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 MiniMax M2 is developed by MiniMax. Ling 3.0 Flash has a 262K token context window vs MiniMax M2's 205K. You can compare their actual outputs across 2 challenges on Rival to see how they differ in practice.

It depends on your use case. Ling 3.0 Flash and MiniMax M2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 2 challenges so you can judge which fits your needs best.

Ling 3.0 Flash costs $0.021/M input tokens and MiniMax M2 costs $0/M input tokens. MiniMax M2 is $0.02/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 MiniMax M2 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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