The Best Chess Engines in 2024: Stockfish vs. Leela Chess Zero
In the vast landscape of chess software and artificial intelligence, two titans stand atop the mountain: Stockfish and Leela Chess Zero (Lc0). By 2024, these engines have evolved into not just tools for analysis but essential companions to elite players, tournament organizers, content creators, and curious amateurs alike.
But what makes these engines so dominant—and how do they compare?
This article explores the origins, design philosophy, strengths, weaknesses, and head-to-head performance of Stockfish and Leela Chess Zero in 2024. Whether you’re a chess enthusiast, a data-driven player, or a curious observer of artificial intelligence, you’ll find the answer to which engine truly reigns supreme.
1. Origins and Philosophy: Traditional vs. Neural Networks
Stockfish: The Classical Titan
Founded: 2008 (based on the open-source Glaurung)
Architecture: Handcrafted evaluation functions + Alpha-Beta pruning
Primary Strengths:
Fast brute-force search (up to 100 million nodes per second)
Deterministic and predictable evaluations
Open source and community-driven
Stockfish embodies traditional chess engine design. Its developers continually improve evaluation heuristics and search optimizations like null move pruning, Late Move Reductions, and multi-PV analysis. Every position is combed with relentless precision using raw CPU power.
Leela Chess Zero (Lc0): The Neural Network Innovator
Founded: 2018 (inspired by AlphaZero by DeepMind)
Architecture: Deep neural network + Monte Carlo Tree Search (MCTS)
Primary Strengths:
Pattern-based understanding of positional nuances
Natural-looking moves and intuitive strategies
Superior in closed or strategic positions
Leela was trained using reinforcement learning, starting from zero knowledge—hence the “zero” in its name. It improves by playing millions of games against itself, with updates from thousands of volunteer contributors.
2. Performance in 2024: Head-to-Head Results
As of 2024, both engines are nearly invincible to human players and are mostly tested against each other or in matches against prior versions.
TCEC (Top Chess Engine Championship)
The most reputable engine-vs-engine competition, TCEC consistently hosts long-format matches between engines under equal conditions.
Recent Results (TCEC 2023/2024):
Stockfish 16 vs. Leela Chess Zero 0.32:
Stockfish wins: 15
Leela wins: 7
Draws: 78
Bullet & Blitz Events: Stockfish performs significantly better in fast time controls.
Superfinals: Stockfish has won the last 5 TCEC seasons.
Summary: In pure win/loss terms, Stockfish is still the stronger engine overall, but the gap is slowly narrowing as Leela continues to evolve.
3. Playing Style: Calculation vs. Intuition
Stockfish
Known for precise tactical calculations
Excels in open positions, where brute-force search finds concrete tactics
Avoids risk unless it’s clearly winning
Example: In a queen vs. rook endgame, it often finds tablebase-perfect play instantly
Leela Chess Zero
Plays in a more “human” style
Prefers positional sacrifices, long-term pressure, and outposts
Sometimes sacrifices pawns or pieces for nebulous compensation—only to justify it 20 moves later
Great in closed, maneuvering positions
Analogy:
Stockfish is like a world-class calculator solving a complex equation
Leela is like a grandmaster artist who “feels” the position
4. Evaluation Depth and Accuracy
Node Searching
Stockfish: Can search 80–100 million nodes per second
Leela: Searches around 1,000–5,000 nodes per second, but each node is more meaningful
Positional Evaluation
Stockfish is accurate in concrete evaluations (e.g., +2.30 means you’re probably winning material)
Leela tends to evaluate based on strategic considerations (e.g., +0.50 might mean better pawn structure, even if down material)
This means Stockfish thrives in clear tactical positions, while Leela can occasionally “bluff” or delay its advantage for strategic gain.
5. Endgame Mastery and Tablebases
Both engines access Syzygy endgame tablebases, which means they play endgames flawlessly up to 7 pieces.
Stockfish reaches these positions more often, as it plays more materially sound games.
Leela, on the other hand, often creates complex endgames by sacrificing material for initiative.
However, in pure endgame knowledge (e.g., QvR, BvN), both are equal when tablebases are enabled.
6. Hardware Compatibility and Usage
Feature | Stockfish | Leela Chess Zero |
---|---|---|
Runs on CPU | ✅ Yes | ⚠️ Limited (very slow) |
Runs on GPU | ❌ No | ✅ Yes |
Best on Multithread CPUs | ✅ Optimized | ⚠️ Limited benefit |
Mobile App Friendly | ✅ Yes | ⚠️ GPU required |
Cloud-based Play | ✅ Chess.com, Lichess | ✅ Lichess via NNUE |
Conclusion:
Stockfish is better for desktop analysis, mobile apps, and fast use.
Leela is ideal for those with strong GPUs (NVIDIA 30-series or higher) and want to study positional depth.
7. Training and Game Analysis
Both engines are integrated into platforms like Lichess, ChessBase, and Chess.com, but their use cases differ:
Stockfish
Great for analyzing blunders, best moves, tactics
Gives quick, reliable assessments
Used in title-level preparation
Leela
Better for long-term strategic planning
Preferred for post-mortem game review
Often shows ideas that challenge conventional thinking
Chess streamers and educators like Daniel Naroditsky and Hikaru Nakamura often use Stockfish for concrete analysis, and Leela for artistic ideas.
8. Use in Human Chess Improvement
Aspect | Stockfish | Leela Chess Zero |
---|---|---|
Opening prep | ✅ Best choice | ⚠️ Less efficient |
Endgame drilling | ✅ Highly precise | ✅ Solid |
Positional understanding | ⚠️ Sometimes superficial | ✅ Superior |
Finding human-like plans | ⚠️ Limited | ✅ Excellent |
For improving players, a combined approach is ideal:
Use Stockfish for tactics, refutations, engine matches, and forced lines.
Use Leela to understand pawn structures, compensation, and outposts.
9. Community and Development
Stockfish
Completely open-source (GPL license)
Developed by an active team and community
Frequently updated and tested on Lichess via Fishtest
Leela
Open-source as well
Trained by a network of volunteers donating GPU time
Slower updates, but with big leaps in understanding
Both are available for free and have passionate communities.
10. Verdict: Which One Should You Use in 2024?
Use Stockfish if:
You need fast, accurate analysis
You’re working on tactics, calculation, or engine matches
You don’t have a high-end GPU
Use Leela Chess Zero if:
You want to explore strategic concepts
You’re reviewing positional play or planning to learn deeply
You own a capable GPU and want to try something more intuitive
Best Solution:
Use both. Start with Stockfish for precise feedback, then switch to Leela to ask, “Why did that position feel better for White?”
Final Thoughts
In 2024, Stockfish remains the strongest overall chess engine, leading most tournaments and dominating in head-to-head matches. However, Leela Chess Zero continues to close the gap, offering unique insights and redefining how humans understand chess.
These engines don’t compete with each other—they complement one another. Together, they provide the most complete toolkit a chess player could ask for.
Whether you’re an amateur chasing rapid improvement or a GM preparing for elite tournaments, understanding the unique strengths of both engines is your secret weapon in mastering the game.