What is the strongest AI in the world? October 2026
Claude Opus 5.5 leads the Intelligence Index examined here. Our comparison explains the lead and how to weigh capability, cost and speed for your task.

The leading position refers to an external language-model benchmark, not every AI task.
Capability, cost and speed answer different questions. The highest score is not automatically the best choice for your daily work.
Data as of 3 October 2026. Compare the exact variant and check access in your application.
The short answer
Which AI is currently the strongest? On 3 October 2026, Claude Opus 5.5 in its “max with fallback” configuration leads the Artificial Analysis Intelligence Index with 58 points. That answers a specific benchmark question; it is not a world championship for every kind of AI.
This article compares selected language models using external data and helps you make your own decision. Findbest has not performed hands-on tests for this comparison. The source, variants and data date appear alongside the chart.
How capable are the AI models?
Seven selected models compared. The benchmark measures how well they solve the evaluated tasks.
A selection, not the full leaderboard. Scores refer to the listed model variants. Index points are not percentages or ratings of the entire app. A snapshot from the stated date; not live data.
View scores, costs and speed
Cost: weighted average in US dollars per benchmark task, not a subscription price. Speed: median output tokens per second; this does not tell you the total wait for a complete response. A high benchmark score alone does not determine which tool suits your task.
| Model / variant | Index points | USD / benchmark task | Tokens / second |
|---|---|---|---|
| Claude Opus 5.5max with fallback | 58 | $5.98 | 92 |
| Claude Sonnet 5.5max with fallback | 56 | $7.67 | 132 |
| GPT-6 Astramax | 53 | $3.26 | 56 |
| Gemini 4 Argonhigh | 53 | $1.99 | Unavailable |
| GPT-6.1 Solmax | 52 | $0.72 | 51 |
| Grok 4.7xhigh | 46 | $3.74 | 74 |
| DeepSeek V4.1 Flashmax | 39 | $0.27 | 206 |
What does “strongest AI in the world” mean?
For this comparison, “strong” means a high score on the Artificial Analysis Intelligence Index, version 4.3.2. It combines ten evaluations. A different measure can produce a different result.
Generating images, transcribing speech and solving a difficult text task are different jobs. A language-model leaderboard therefore does not automatically identify the best image, video or audio model.
How to read the chart
The bars start at zero and show published, rounded index scores. They are not percentages: a score of 58 does not mean a model solves 58 percent of all tasks.
The chart covers selected recognizable model families, not the complete top seven. The original leaderboard contains other models and configurations between these entries. Settings such as “max”, “high” and “xhigh” belong to each result.
Capability, price or speed: what matters to you?
The chart answers the capability question. Its expandable table adds cost per benchmark task and output speed. Benchmark task costs are not monthly app prices, and tokens per second do not measure the time for a complete response.
Our analysis: a difficult task is a reason to try a more capable configuration. For repeated tasks, the useful choice may instead be the candidate that meets your quality target with little rework. Judge the finished result, your working time and the costs you actually incur.
Why comparing models differs from comparing apps
An AI application combines a model with an interface, tools and access rules. File handling, search, model selection and usage limits can vary across applications and plans. Scores alone therefore cannot tell you which app best supports your entire workflow.
Check the exact model name in your account. If the app selects automatically or does not disclose its setting, record that limitation instead of assigning a precise benchmark score to your own result.
Which AI is best for your task?
Compare two or three accessible candidates on the same real task. Decide in advance what makes an outcome acceptable. A file analysis should support its claims; for a writing task, your requirements and the editing effort matter.
Assess quality first. Record waiting time, correction rounds and cost separately. This reveals whether extra capability actually improves your workflow or a simpler candidate already does the job.
Open practical example
Example prompt: “Group these anonymized comments into five themes. Support every assignment with a passage and mark missing information.” Check that the passages exist and the grouping makes sense.
How current are these figures?
The chart and table are a snapshot from 3 October 2026. Prices, speed, rankings and access may change. Follow the source link to the original leaderboard for its latest data.
An update requires checking figures, configurations and index version together. Changing a date alone does not make an old comparison current. Material changes in methodology also need to be considered before comparing scores from different dates.
Your practical comparison
What you need
A real task with a verifiable outcome, anonymized material and access to the selected applications.
- Define the task and three verifiable quality criteria.
- Give every candidate the same prompt and files.
- Record model name, setting and date.
- Check facts, requirements and the result; record rework, waiting time and costs.
- Repeat the comparison for important tasks before choosing.
Example to get you started
Evaluation log: model and setting / task / requirements met / errors / correction rounds / waiting time / cost.
Things to consider
External benchmarks do not replace your own task evaluation. This selection is not the full leaderboard; app access and features have not been tested for this article.
Explore the tools
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