Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. LFM2.5-2.6BvsLing 3.0 Flash Fin (free)
Updated Aug 2026

LFM2.5-2.6BvsLing 3.0 Flash Fin (free)

Ling 3.0 Flash Fin (free) has a larger context window than LFM2.5-2.6B (262K tokens vs 128K tokens).

LFM2.5-2.6B and Ling 3.0 Flash Fin (free) compared across 19 shared prompts
SpecLFM2.5-2.6BLing 3.0 Flash Fin (free)
Input priceFreeFree
Output priceFreeFree
Context window128K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)Yes (1 provider)Yes (1 provider)
ReleasedAug 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 19 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…

LFM2.5-2.6B189 words
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…
Read the full answer
Ling 3.0 Flash Fin (free)166 words
Midnight Molten Lava Cake Ingredients: All-purpose flour (4 tbsp) Granulated sugar (4 tbsp) Unsweetened cocoa powder (2 tbsp) Vegetable oil (3 tbsp) Water (2 tbsp) Vanilla extract (¼ tsp) Baking powder (¼ tsp) Instructions: Combine Dry Ingredients: In a standard microwave-safe mug, whisk together the flour, sugar…
Read the full answer

Historical Counterfactual Analysis

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

LFM2.5-2.6B1,248 words
The invention of the transistor in 1920, rather than 1947, fundamentally rewires the trajectory of the 20th century. The pivotal difference is not the year of invention, but the 23 years of head start provided for the semiconductor industry, the physics of solid-state electronics, and the subsequent digital revolution.
Read the full answer
Ling 3.0 Flash Fin (free)2,066 words
The 1920 Transistor: A Counterfactual Analysis Through 1980 I. Premise and Plausibility For a transistor to emerge in 1920, we must assume that either the theoretical framework of semiconductor physics was accelerated (quantum mechanics was only being formulated in the mid-1920s), or that empirical discovery—building…
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…

LFM2.5-2.6B1,022 words
Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Connection Loss and Cleanup Failure Mode: If a client disconnects unexpectedly (e.g., network failure), the server may retain a stale reference, leading to memory leaks or stale broadcast attempts.
Read the full answer
Ling 3.0 Flash Fin (free)2,560 words
Comprehensive Architecture Analysis: Real-Time Collaborative Document Editor CRITICAL: WebSocket Broadcasting Is Siloed Per-Server Problem: Each server maintains its own WebSocket connections. When User A (on Server 1) types, the change is only broadcast to clients connected to Server 1.
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.…

LFM2.5-2.6B717 words
Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of why they are problematic and how to fix them. The "Predict Before You Think" Claim (Slide 1) The Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it."
Read the full answer
Ling 3.0 Flash Fin (free)961 words
The 3 Weakest Claims in the MindMeld AI Pitch 🚨 The $180B TAM Claim (Slide 4) Why it's weak: This is the most logically incoherent claim in the entire deck. The pitch states the BCI market is projected to reach $5.3B by 2030 (citing Grand View Research) — and then immediately claims a TAM of $180B.
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…

LFM2.5-2.6B497 words
Month 1: Simple Action Plan for Better Health and Longevity Goal: Build three sustainable habits that form the foundation of a longer, healthier life. Focus on diet, exercise, and sleep, with small, daily actions that compound over time. 1.
Read the full answer
Ling 3.0 Flash Fin (free)825 words
This 1-month plan is designed to build foundational habits without causing burnout. The golden rule of beginner health is "add before you subtract"—focus on adding good habits rather than punishing yourself by removing "bad" ones. Here is your simple, actionable 1-month plan focusing on Diet, Exercise, and Sleep.
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…

LFM2.5-2.6B798 words
For the Software Engineer At its core, a large language model is a massive neural network—a function approximator trained via gradient descent on a colossal corpus of text.
Read the full answer
Ling 3.0 Flash Fin (free)928 words
For the Experienced Software Engineer Here's the thing: the way you build a distributed system that "does the right thing" isn't by writing rules for every possible scenario — it's by designing the system so that correct behavior emerges from many simple, well-specified interactions.
Read the full answer
Our Verdict
Ling 3.0 Flash Fin (free)
Ling 3.0 Flash Fin (free)
LFM2.5-2.6B
LFM2.5-2.6BRunner-up

Not enough votes to call it. On the specs, Ling 3.0 Flash Fin (free) has the edge: bigger model tier, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

LFM2.5-2.6B
Input
$0.000
Output
$0.000
Ling 3.0 Flash Fin (free)
Input
$0.000
Output
$0.000
Where to run it

2 hosts

LFM2.5-2.6B1 host
HostInOutContextUptime
Liquid AIfp8$0 in·$0 out·66k·99.9% up
Ling 3.0 Flash Fin (free)1 host
HostInOutContextUptime
NNovita$0 in·$0 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

LFM2.5-2.6B is developed by Liquid AI while Ling 3.0 Flash Fin (free) is developed by inclusionAI. LFM2.5-2.6B has a 128K token context window vs Ling 3.0 Flash Fin (free)'s 262K. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. LFM2.5-2.6B and Ling 3.0 Flash Fin (free) each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

LFM2.5-2.6B costs $0/M input tokens and Ling 3.0 Flash Fin (free) costs $0/M input tokens. Ling 3.0 Flash Fin (free) 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.

This page shows a side-by-side comparison of LFM2.5-2.6B and Ling 3.0 Flash Fin (free) 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

More comparisons

Against the newest arrivals

LFM2.5-2.6B logoDeepSeek V4 Flash Vision Exp logo
LFM2.5-2.6B vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Ling 3.0 Flash Fin (free) logoSolar Pro 4 logo
Ling 3.0 Flash Fin (free) vs Solar Pro 4Landed Sep 2026
LFM2.5-2.6B logoHy3 logo
LFM2.5-2.6B vs Hy3Landed Sep 2026
Ling 3.0 Flash Fin (free) logoQwen3.7 Flash logo
Ling 3.0 Flash Fin (free) vs Qwen3.7 FlashLanded Sep 2026
LFM2.5-2.6B logoLing 3.0 Flash logo
LFM2.5-2.6B vs Ling 3.0 FlashLanded Sep 2026
Ling 3.0 Flash Fin (free) logoMuse Glimmer 30B logo
Ling 3.0 Flash Fin (free) vs Muse Glimmer 30BLanded Sep 2026
LFM2.5-2.6B logoGLM 5.3 logo
LFM2.5-2.6B vs GLM 5.3Landed Sep 2026
Ling 3.0 Flash Fin (free) logoTernary Bonsai 2 27B logo
Ling 3.0 Flash Fin (free) vs Ternary Bonsai 2 27BLanded Sep 2026

Same lab, same size, long tail

LFM2.5-2.6B logoGranite 4.2 8B logo
LFM2.5-2.6B vs Granite 4.2 8BSame size
LFM2.5-2.6B logoNorth Mini Code logo
LFM2.5-2.6B vs North Mini CodeSame size
Ling 3.0 Flash Fin (free) logoLing 3.0 Flash logo
Ling 3.0 Flash Fin (free) vs Ling 3.0 FlashSame lab
Ling 3.0 Flash Fin (free) logoLing 3.0 Flash Sante (free) logo
Ling 3.0 Flash Fin (free) vs Ling 3.0 Flash Sante (free)Same lab
Ling 3.0 Flash Fin (free) logoGPT-6 Astra logo
Ling 3.0 Flash Fin (free) vs GPT-6 AstraNew provider
Ling 3.0 Flash Fin (free) logoGPT-6 Astra Pro logo
Ling 3.0 Flash Fin (free) vs GPT-6 Astra ProNew provider
LFM2.5-2.6B logoGPT OSS 120B logo
LFM2.5-2.6B vs GPT OSS 120BNew provider
LFM2.5-2.6B logoGPT OSS 20B logo
LFM2.5-2.6B vs GPT OSS 20BNew provider

Model pages

LFM2.5-2.6B logo
LFM2.5-2.6B56 outputs, specs and price
Ling 3.0 Flash Fin (free) logo
Ling 3.0 Flash Fin (free)20 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed