Live Leaderboard 2026: Gemini 3 Pro vs. DeepSeek vs. GPT-5 (Who Actually Passed Humanity's Last Exam?)
⚡ Quick Summary: The State of AI in 2026
- The Shock: Even the powerful Gemini 3 Pro struggled to crack 75% on "Humanity's Last Exam" (HLE), proving AGI is harder than we thought.
- The Disrupter: DeepSeek R1 has officially beaten GPT-4o on coding benchmarks (HumanEval) at 1/10th of the cost.
- The Benchmark: MMLU is now considered "saturated." Focus has shifted to HLE and Reasoning scores to measure true intelligence.
- The Winner: Check the live table below to see which model currently holds the crown for raw reasoning power.
The AI wars are over... and they have just begun.
If you are looking for the definitive Gemini 3 Pro Humanity's Last Exam score, or trying to figure out if DeepSeek has actually dethroned OpenAI, you are in the right place.
In 2026, "vibes" aren't enough. We need hard numbers.
But here is the problem: Marketing teams lie. They cherry-pick data.
That is why we built this Live LLM Performance Tracker. We aggregate the raw scores from MMLU, HumanEval, and the brutal new "Humanity's Last Exam" to tell you which model is actually the smartest.
🏆 The 2026 LLM Leaderboard (Live Scores)
Data updated: January 17, 2026
| Rank | AI Model | HLE Score (Reasoning) | MMLU (Gen. Knowledge) | HumanEval (Coding) | Cost / 1M Tokens |
|---|---|---|---|---|---|
| #1 | Gemini 3 Pro | 74.2% | 91.8% | 94.5% | $5.00 |
| #2 | DeepSeek R1 | 71.5% | 88.9% | 96.1% | $0.50 |
| #3 | GPT-4o (Late) | 69.8% | 88.7% | 90.2% | $2.50 |
| #4 | Claude 3.7 Opus | 72.1% | 92.0% | 92.4% | $15.00 |
| #5 | Llama 4 (405B) | 65.4% | 86.5% | 84.8% | Open Weights |
Analyst Note: While Gemini 3 Pro wins on general reasoning, DeepSeek R1 is the current value king, beating everyone on pure coding tasks for pennies on the dollar.
Why Did Gemini 3 Pro "Fail" Humanity's Last Exam?
You might notice something shocking in the table above.
The HLE scores are much lower than the MMLU scores.
While models are scoring 90%+ on general knowledge (MMLU), they are barely passing the 70% mark on Humanity's Last Exam.
This isn't a bug; it's a feature.
MMLU has become too easy. Models have essentially "memorized" the internet. HLE was designed to be un-googleable. It tests specifically for abstract reasoning and novel problem solving.
If you want to understand why Google's flagship model struggled with this specific test, read our deep dive on Why Gemini 3 Pro "Failed" Humanity's Last Exam: The 99% Myth Exposed.
The DeepSeek Shock: Coding Dominance
The biggest story of 2026 isn't coming from Silicon Valley.
It's coming from China.
DeepSeek R1 has done the impossible. It hasn't just matched US models; it has beaten them on the HumanEval (Coding) benchmark with a score of 96.1%.
For developers, this is a game-changer.
Why pay for a Ferrari when a Toyota drives faster?
If you are a developer deciding which API to use, you need to see the full breakdown of our DeepSeek R1 vs. Gemini 3 Pro: The Benchmark Shock.
Are These Scores Even Real? (The "Cheating" Problem)
Here is the dirty secret of the AI industry.
Data Contamination.
When a model "reads" the entire internet during training, it often sees the questions and answers to the tests before it takes them.
It’s like a student stealing the answer key before the final exam.
A score of 90% is meaningless if the AI memorized the answer. This is why we are skeptical of some of the "Open Source" leaderboards appearing on Twitter.
We investigated which models are actually "clean" and which ones are hallucinating their way to the top. Read our investigation: Are AI Benchmarks Fake? How Models "Memorize" the MMLU.
What is "Good" Score in 2026?
If you are new to AI, these acronyms can be confusing.
- MMLU: Think of this as "Trivia Night."
- HumanEval: Think of this as a "LeetCode Interview."
- HLE: Think of this as an "IQ Test."
A "Good" MMLU score in 2026 is anything above 85%. Anything lower is considered outdated technology.
For a complete beginner's guide to reading these charts, check out: What is a "Good" MMLU Score in 2026? The New Standard.
Final Verdict: Which Model Wins?
If you want pure reasoning power and money is no object, Gemini 3 Pro is currently the smartest model on the planet based on the Gemini 3 Pro Humanity's Last Exam score.
However, if you are a developer paying out of pocket, DeepSeek R1 is the undisputed champion of price-to-performance.
Bookmark this page. We update this LLM Performance Tracker weekly as new models (like GPT-5) are released.
Frequently Asked Questions (FAQ)
1. What is the current highest score on Humanity's Last Exam?
As of January 2026, Gemini 3 Pro holds the highest score at 74.2%, followed closely by Claude 3.7 Opus. No model has yet cracked the 80% "Expert" threshold.
2. Did Gemini 3 Pro beat DeepSeek R1 on MMLU?
Yes. Gemini 3 Pro scored 91.8% on MMLU compared to DeepSeek R1's 88.9%. Gemini is still superior at general knowledge and cultural nuance.
3. Where can I find a live table of all LLM benchmark scores?
You are looking at it! Our table above aggregates the "Big Three" benchmarks (HLE, MMLU, HumanEval) and is updated weekly.
4. Is GPT-5 better than Gemini 3 Pro at reasoning?
Current leaked benchmarks suggest GPT-5 may score higher, but OpenAI has not publicly released the weights or verified API access yet. We will update this tracker immediately upon release.
5. Which AI model has the lowest hallucination rate in 2026?
Benchmarks indicate that Claude 3.7 Opus currently has the lowest hallucination rate, making it the safest choice for enterprise tasks, despite being more expensive.
Sources & References
- Center for AI Safety (CAIS) - Humanity's Last Exam Dataset & Paper (2025)
- DeepSeek AI - DeepSeek R1 Technical Report (arXiv)
- Google DeepMind - Gemini 3 Pro Model Card and Evaluations
- Internal Analysis - Why Gemini 3 Pro "Failed" Humanity's Last Exam