Ratings

Ratings

Every tool and model, highest score first. Open a name for the reason behind each number.

Products

38 products.

Product ratings

Editor's rating of each product, by dimension
ProductCapabilityReliabilityWorkflow fitPricing and valuePrivacy and securitySupportOverall
GitHub Copilot77865.569.4
AssemblyAI75.57.57.565.59.3
Deepgram75.57.57.555.59.2
Claude Code85766.55.59
NotebookLM65885.569
ElevenLabs86763.558.9
Adobe Firefly7586658.8
OpenAI Codex6678658.8
ChatGPT75865.558.7
Cursor7685658.7
Stable Diffusion757.56.55.558.7
Gemini757.56.5558.6
Elicit757665.58.4
Google Agent Development Kit7658568.4
Grammarly6.557.56.5658.4
Microsoft Agent Framework6.55.568568.4
Otter.ai6.557.56.55.54.58.4
Microsoft Copilot6.5585.5658.3
Windsurf6.557.56558.2
LangGraph76486.568.1
Midjourney856634.58.1
Replit757.55558.1
Claude6486657.9
Murf AI7575657.9
Notion AI65767.557.9
Tableau6.5575.55.567.9
Descript6576457.6
Grok6.54.575.54.547.5
Amazon Bedrock AgentCore7646757.3
Perplexity548664.57.3
Zapier Agents5.5485557.2
Consensus43875.54.56.8
Runway6565346.6
Databricks Genie65554.556.3
Snowflake Cortex Analyst55555.54.55.8
Copilot in Power BI5554465.5
Salesforce Agentforce5.5453755.3
Gemini Code Assist5462734.9

Models

15 models.

Model ratings

Editor's rating of each model, by dimension
ModelOutput qualityReliabilitySpeedEase of useValueOverall
Claude Sonnet 5.5767789.5
GPT-6 Luna568799.5
Claude Opus 5.5866779.1
GPT-6.1 Sol766789.1
Grok 4.7766789.1
Muse Spark 1.3667789.1
DeepSeek V4.1 Flash657698.8
Gemini 3.8 Flash667778.8
GLM-5.3756678
GPT-6 Astra865758
Mistral Medium 3.5666678
Qwen3.8 Max666678
Kimi K3.1 Pro755587.7
Claude Fable 5.1864747.3
Kimi K3755556.6

Frequently asked questions

Where is the reason for a score?

Open the product or model. The rating section gives one reason for each dimension, next to the score.

What if there is little evidence for a dimension?

It is still rated, and the reason says so: for example, rated from documented features and stated limits because no independent test exists. A rating on thin evidence is never presented as a measurement.

How are model ratings worked out?

On output quality, reliability, speed, ease of use and value, from vendor pages and vendor-reported benchmarks that were not reproduced. Each model page gives the reason, the list price and the context window.