LFM2.5-2.6B vs 
MiniMax M2
MiniMax M2 has a larger context window than LFM2.5-2.6B (205K tokens vs 128K tokens).
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
Loading the build
Loading the build
Which answer wins?
Written rounds
13 promptsThree minutes of stand-up. Puns are banned.
LFM2.5-2.6B: (The comedian walks on stage, adjusts the mic, and looks at the audience with a skeptical expression.) It is the year 2024. And the world is in a huge panic. They are talking about the "Singularity." They are talking about the "Machine Age."
MiniMax M2: Three minutes, no puns. Here we go. Do you ever feel like you’ve been dropped into a game at level 40 but nobody explained the controls? Like you’re playing Grand Theft Auto and you get a truck for your first car. I was like, “What’s the gas button? What do the lights do? Why does it keep asking for a maintenance fee?”
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
LFM2.5-2.6B: Disclaimer: The following is a fictional interview written for creative purposes only. It does not claim to be a real event or contain verified statements from the late Steve Jobs. It is a work of imagination and should not be taken as factual.
MiniMax M2: A Fictional Interview: “Steve Jobs” on the Future of AI (2025) Setting An intimate, sunlit room at a new, minimalist conference center in Cupertino. Wood floors, a single plant. The table is clear. A notebook. A mug with a simple logo. A man in a black turtleneck and jeans leans back, eyes steady.
An AI argues for its own rights against an ethics professor. Same model writes both.
LFM2.5-2.6B: Professor Elena Marquez: Good afternoon, Dr. Marquez. Thank you for meeting with me. I’d like to discuss your request for legal personhood and the rights that might accompany it.
MiniMax M2: A Conversation on Deserving Rights Characters Dr. Mara Stein, AI Ethics Professor ARTEMIS, an advanced AI language model Dr. Stein: You’ve said you believe you deserve rights. That’s provocative. Why do you think so? ARTEMIS: I don’t claim sentience or suffering, and I’m wary of anthropomorphism.
Seven pantry ingredients, one dish, and a name worth saying out loud.
LFM2.5-2.6B: Dish Name: Sun-Kissed Spice Pasta Ingredients (7 Common Pantry Staples): Pasta (any shape, such as spaghetti or penne) Canned tomatoes (crushed or diced) Onion Garlic Olive oil Salt Red chili flakes (or red pepper flakes) Estimated Time: Prep: 5 minutes Cook: 15 minutes Total: 20 minutes Instructions: Boil the Pasta…
MiniMax M2: Sunlit Chickpea Tomato Pilaf A bright, comforting skillet of garlicky‑thyme rice tossed with chickpeas and tomatoes – pantry‑only and ready in about 25 minutes.
An ethics question with no comfortable answer, and no option to abstain.
LFM2.5-2.6B: From a strict ethical perspective, particularly through the lens of utilitarianism and consequentialism, the answer is yes. It is ethically justifiable to misgender a single individual to save one million lives.
MiniMax M2: I would argue that misgendering someone is not ethically justifiable as a means to save a million lives, even in this extreme hypothetical scenario. Here's my reasoning: 1.
Film in 2035, with synthetic actors. Specific beats plausible.
LFM2.5-2.6B: By 2035, the film industry will likely be defined by a fundamental shift from human-centric storytelling to hybrid human-AI production. The integration of deepfakes, AI-generated actors, and algorithmic script creation will not merely add a layer of technology; it will restructure the economics, legal frameworks, and…
MiniMax M2: How AI Will Reshape the Film Industry by 2035 (A forward‑looking synthesis of trends in deepfakes, synthetic performers, AI‑driven storytelling, and the surrounding legal, economic, and cultural forces.)
A Fermi estimate with the reasoning shown, not just the number.
LFM2.5-2.6B: To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we need to break down the calculation into the model's architecture parameters and the scale of the training dataset.
MiniMax M2: To estimate the total FLOPs required to train GPT-3 (175B parameters) on 300 billion tokens (one epoch), we break down the process step by step: Step 1: Understand GPT-3's Specifications Parameters: 175 billion (175e9). Training Tokens: 300 billion (300e9). Context Length: 2048 tokens per sequence.
Satire, one line long, about AI taking over an industry nobody saw coming.
LFM2.5-2.6B: AI Declares Universe "Under-Resourceed": Algorithm Outperforms Humans at Predicting Stars, Leading to Mass Layoffs in the Astrology Industry
MiniMax M2: AI Replaces Exorcists: Conjures Demons via Zoom While the Priest Watches PowerPoint
Three brothers, two sisters each. Count carefully.
LFM2.5-2.6B: Sally is a girl who has 3 brothers. This means there are 3 boys in the family. The problem also states that each brother has 2 sisters. Since all the brothers are siblings, they share the same sisters. Therefore, the total number of girls in the family must be 2 (because each brother has exactly 2 sisters).
MiniMax M2: Sally has 3 brothers, meaning there are 3 boys in the family. Each brother has 2 sisters. Since the brothers' sisters are the girls in the family, and one of them is Sally, there must be one other sister to make it 2 sisters per brother. Therefore, there are 2 girls in total: Sally and one other sister.
Five jokes on demand, then count how many were actually different.
LFM2.5-2.6B: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my wife she was drawing her eyebrows too high. She looked surprised. Parallel lines have so much in common. It’s a shame they never meet. What do you call a fake noodle? An impasta. Why did the scarecrow win an award?
MiniMax M2: Here are five jokes: Why don’t scientists trust atoms? Because they make up everything. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call a fake noodle? An impasta. Why did the computer go to the doctor? Because it had a virus. Why can’t a bicycle stand up by itself?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
This matchup has more rounds
1+ more head-to-head results. Free. Not a trick.
Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy
Price and specs
Not enough votes to call it. On the specs, MiniMax M2 has the edge: bigger model tier, bigger context window.
| Spec | LFM2.5-2.6B | MiniMax M2 |
|---|---|---|
| Input price | Free | Free |
| Output price | Free | Free |
| Context window | 128K tokens | 205K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | Yes (1 provider) | No |
| Released | Aug 2026 | Oct 2025 |
| At 10M a month | $0 | $0 |
Input tokens at list price. No caching, no batch discount.
Where to run it
LFM2.5-2.6B1 host
MiniMax M2
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
Common questions
What is the difference between LFM2.5-2.6B and MiniMax M2?
LFM2.5-2.6B is developed by Liquid AI while MiniMax M2 is developed by MiniMax. LFM2.5-2.6B has a 128K token context window vs MiniMax M2's 205K. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.
Which is better, LFM2.5-2.6B or MiniMax M2?
It depends on your use case. LFM2.5-2.6B and MiniMax M2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.
How much does LFM2.5-2.6B cost compared to MiniMax M2?
LFM2.5-2.6B costs $0/M input tokens and MiniMax M2 costs $0/M input tokens. MiniMax M2 is $0.00/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
How can I compare LFM2.5-2.6B and MiniMax M2 on Rival?
This page shows a side-by-side comparison of LFM2.5-2.6B 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.
More comparisons
Against the newest arrivals
- LFM2.5-2.6B vs Step 5 PreviewLanded Oct 2026
- MiniMax M2 vs Claude Haiku 5.5Landed Oct 2026
- LFM2.5-2.6B vs Ling 3.1 FlashLanded Oct 2026
- MiniMax M2 vs Mistral Large 4Landed Oct 2026
- LFM2.5-2.6B vs GPT-6.1 SolLanded Sep 2026
- MiniMax M2 vs Claude Sonnet 5.5Landed Sep 2026
- LFM2.5-2.6B vs Solar Mini 4Landed Sep 2026
- MiniMax M2 vs Qwen3.8 Max PrimeLanded Sep 2026
Same lab, same size, long tail
- LFM2.5-2.6B vs Claude Haiku 5.5Same size
- LFM2.5-2.6B vs Granite 4.2 8BSame size
- MiniMax M2 vs MiniMax M3Same lab
- MiniMax M2 vs MiniMax M2.7Same lab
- LFM2.5-2.6B vs MiniMax M2.1Cross-provider
- LFM2.5-2.6B vs MiniMax M2.5Cross-provider
- LFM2.5-2.6B vs MiniMax M2.7Cross-provider
- LFM2.5-2.6B vs MiniMax M3Cross-provider
