# Best AI assistant — September 2026

> Best AI assistant (September 2026): on BenchLM's evidence, Claude Fable 5.1 has the highest overall score estimate (84.7) among models that meet the page's constraints, followed by GPT-6 Astra and Claude Opus 5. Evidence, constraints, and caveats included.

## Constraints on this page

A builder choosing by accuracy, hosted processing allowed, any price, ordinary input size. Every refine link below changes one answer.

## The shortlist for AI assistant

| # | Model | Creator | Overall score estimate | Why |
|---|---|---|---|---|
| 1 | [Claude Fable 5.1](/models/claude-fable-5-1) | Anthropic | 84.7 | Highest overall estimate among models that meet every stated constraint; $20.00 for the stated workload; 1M context |
| 2 | [GPT-6 Astra](/models/gpt-6-astra) | OpenAI | 82.8 | Estimate 82.8 on the same overall evidence; $20.00 for the stated workload; 1.05M context |
| 3 | [Claude Opus 5](/models/claude-opus-5) | Anthropic | 81.9 | Estimate 81.9 on the same overall evidence; $10.00 for the stated workload |
| 4 | [Claude Fable 5](/models/claude-fable) | Anthropic | 81.4 | Estimate 81.4 on the same overall evidence; $20.00 for the stated workload; 1M context |
| 5 | [GPT-5.6 Sol](/models/gpt-5-6-sol) | OpenAI | 80.5 | Estimate 80.5 on the same overall evidence; $8.00 for the stated workload; 1.05M context |

Ordered by task score under the stated constraints.

## What to verify before choosing

- The underlying model is only part of an assistant. Plan limits, browsing, memory, and integrations need app-level evidence.
- Composite scores are estimates. A small score gap does not establish a reliably better model.

## Refine

- [Change any answer in the selector](/tools/llm-selector?audience=builders&family=general&useCase=general&priority=accuracy&privacy=hosted&budget=any&context=normal)
- [Must run on my own hardware](/tools/llm-selector?audience=builders&family=general&useCase=general&priority=accuracy&privacy=local&context=normal)
- [Cost matters most](/tools/llm-selector?audience=builders&family=general&useCase=general&priority=cost&privacy=hosted&budget=any&context=normal)
- [Speed matters most](/tools/llm-selector?audience=builders&family=general&useCase=general&priority=speed&privacy=hosted&budget=any&context=normal)
- [Long documents or a large codebase](/tools/llm-selector?audience=builders&family=general&useCase=general&priority=accuracy&privacy=hosted&budget=any&context=large)
- [Choosing an everyday assistant, not an API](/tools/llm-selector?audience=everyday&family=general&useCase=general&priority=accuracy&privacy=hosted&budget=any&context=normal)
- [Describe your own job instead](/tools/llm-selector)

## Questions

**Which is the best AI assistant?**

On BenchLM's public evidence, Claude Fable 5.1 by Anthropic has the highest overall score estimate among models that meet the page's default constraints (84.7). Ordered by task score under the stated constraints. The underlying model is only part of an assistant. Plan limits, browsing, memory, and integrations need app-level evidence.

**What are the alternatives to Claude Fable 5.1 for AI assistant?**

GPT-6 Astra (82.8), Claude Opus 5 (81.9), Claude Fable 5 (81.4), GPT-5.6 Sol (80.5) follow on the same evidence. A small gap does not establish a reliably better model; compare them on three representative examples of your own work.

**How does BenchLM pick the best ai assistant?**

The page runs the LLM Selector with fixed answers: a builder choosing by accuracy, hosted processing allowed, any price, ordinary input size. The selector uses the overall evidence surface, filters by the stated constraints, and orders by that evidence. It never adds a hidden fit score or a bonus for open weights or reasoning style.

**Can I change the constraints?**

Yes. Every link under "Refine" opens the selector with one answer changed, and the address carries the answers so a result can be shared or reopened against the current dataset.

Data updated 2026-09-18. Method: bench-align-v5.5-2026-09-04.

Canonical page: https://benchlm.ai/best/for/general