How close are we to superintelligence?
As of October 2026, AI beats every person at this year's programming olympiad (100% vs the best student's 83%). Taken across all tests together, it is still below skilled adults.
Where AI stands on the staircase
- Reached
- On a few problems
- Not reached
Overall, AI beats people on some tests and trails on others. How close are we to AGI?
Emerging
Competent
Designing AI experiments · Reached
Beats the best of at least 2 experts per task
Claude Opus 5.5, Oct 2026
Office work tasks · Reached
Wins or ties 85% against professionals with 14 years' experience
GPT-5.5, Apr 2026
Expert
Exceptional
Coding contest rating · Reached
Only 2 of 49,384 active coders rated higher
Gemini 3 Deep Think, Feb 2026
Superhuman
Unsolved maths · On a few problems
10 of 49 solved 5 by AI alone, 5 with people's help
Several AIs, Oct 2026
| Step | Test | Model | AI score | People | Month |
|---|---|---|---|---|---|
| Emerging | Furniture assembly | Claude Opus 5.5 | 83% vs 63% | untrained volunteers | Sep 2026 |
| Emerging | Trick questions | Claude Opus 5.5 | 88% vs 84% | ordinary people | Sep 2026 |
| Emerging | Using a computer | Claude Fable 5 | 86% vs 72% | students new to the software | Aug 2026 |
| Emerging | Picture puzzles | GPT-6 Astra | 95% vs 60% | average person | Sep 2026 |
| Emerging | Reading a clock | Gemini 4 Argon | 83 vs 91 | average person | Oct 2026 |
| Emerging | New games, fast | GPT-6 Astra | 63 vs 100 | human level; 99.9 on OpenAI's own setup | Sep 2026 |
| Emerging | Scene at a glance | Gemini 4 Argon | 55 vs 93 | people | Oct 2026 |
| Competent | PhD science questions | Gemini 4 Argon | 96% vs 70% | PhD experts | Oct 2026 |
| Competent | Doctors' questions | GPT-6 Astra | 65 vs 44 | doctors | Sep 2026 |
| Competent | Month-end accounting | Claude Opus 5 | 100% vs 37% | junior accountants | Oct 2026 |
| Competent | World event forecasts | Google DeepMind | 68.8 vs 68.5 | superforecasters (median) | Oct 2026 |
| Competent | Designing AI experiments | Claude Opus 5.5 | Beats the best of at least 2 experts | per task | Oct 2026 |
| Competent | Kaggle contests | Gemini 3.1 agent | 81.5th percentile | real entrants | Mar 2026 |
| Competent | Office work tasks | GPT-5.5 | Wins or ties 85% | against professionals with 14 years' experience | Apr 2026 |
| Competent | Whole paid jobs | Claude Opus 5.5 | 21% vs 100% | professional's standard | Oct 2026 |
| Competent | Translating novels | Readers chose AI 11 of 30 | vs a human translation | Sep 2026 | |
| Expert | Virus lab problems | GPT-5.6 Sol | 49% vs 21% | expert virologists' average | Sep 2026 |
| Exceptional | Maths Olympiad | dots-note-3.0 | 42 of 42 | tied with the top 7 of 666 students | Jul 2026 |
| Exceptional | Coding contest rating | Gemini 3 Deep Think | Only 2 of 49,384 | active coders rated higher | Feb 2026 |
| Exceptional | University maths contest | DeepSeek-v3.2-Speciale | Top 3 of 4,329 | students | Feb 2026 |
| Exceptional | AI research | Claude Opus 5.5 | 37 vs 50 | Vals' reference results | Oct 2026 |
| Superhuman | Programming olympiad | GPT-6 Astra and Gemini 4 Argon | 100% vs 83% | best student | Oct 2026 |
| Superhuman | World coding finals | OpenAI | 1st | ahead of all human finalists | Jul 2026 |
| Superhuman | Unsolved maths | Several AIs | 10 of 49 solved | 5 by AI alone, 5 with people's help | Oct 2026 |
| Superhuman | Erdős problems | GPT-6.1 Sol | 3 of 68 | unsolved by people | Oct 2026 |
| Superhuman | Navier-Stokes | OpenAI's AI | Solved | $1M Millennium Prize problem | Sep 2026 |
The two ingredients of an intelligence explosion
Does AI research
37 /100Claude Opus 5.5, Oct 2026
Improves AI models
45 /100Claude Fable 5.1 · PostTrainBench, Sep 2026
| Ingredient | Test | Model | Score | Line | Month |
|---|---|---|---|---|---|
| Does AI research | Vals RSI Index | Claude Opus 5.5 | 37 | 50 (Vals' reference results) | Oct 2026 |
| Improves AI models | PostTrainBench | Claude Fable 5.1 | 45 | 48 (official models, trained with more time and chips) | Sep 2026 |
Sources (28)
- arXiv, arxiv.org/abs/2311.02462
- Epoch AI, epoch.ai/benchmarks/furniture-assembly
- SimpleBench, simple-bench.com
- OSWorld, os-world.github.io
- ARC Prize, arcprize.org/leaderboard
- ClockBench, clockbench.ai
- ARC Prize, OpenAI's GPT-6 Astra on ARC-AGI-3 (ARC Prize blog), with the ARC-AGI-3 launch paper as baseline
- Scale AI, labs.scale.com/leaderboard/hss
- Epoch AI, epoch.ai/benchmarks/gpqa-diamond
- OpenAI, Faked data in a test task, Sep 2026
- Mercor, mercor.com/blog/human-baselines-for-benchmarks-ai-now-outperforms-junior-accountants
- Forecasting Research Institute, forecastbench.org/leaderboards
- arXiv, arxiv.org/abs/2610.06824
- arXiv, arxiv.org/abs/2603.26499
- OpenAI, openai.com/index/introducing-gpt-5-5
- Scale AI, labs.scale.com/leaderboard/rli
- arXiv, arxiv.org/abs/2606.26040
- SecureBio, securebio.org/blog/introducing-vct-v2
- studio-dots-ai.github.io, studio-dots-ai.github.io/dots_imo_2026/en.html
- Google, blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think
- MathArena, matharena.ai/putnam
- Vals AI, Vals RSI Index (Vals AI, updated 15 Oct 2026), Oct 2026
- Vals AI, vals.ai/benchmarks/ioi
- The Decoder, the-decoder.com/openais-ai-beats-every-human-at-atcoder-a-top-competitive-programming-con…
- Epoch AI, epoch.ai/frontiermath/open-problems
- Epoch AI, FrontierMath Erdős (Benchmarking Hub data), Apr 2026
- OpenAI, openai.com/index/navier-stokes-solution
- PostTrainBench, posttrainbench.com