AI models built for project managers and planning. 251 models with function calling for task automation, 251 with reasoning for complex planning, and 251 budget options for teams watching costs.
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7Anthropic | 95 |
| 2 | GPT-5.5OpenAI | 93 |
| 3 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 4 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 5 | GPT-5.4 ProOpenAI | 92 |
| 6 | GPT-5.4OpenAI | 92 |
| 7 | GPT-5.5 ProOpenAI | 91 |
| 8 | GPT-5.2 ProOpenAI | 91 |
| 9 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 10 | Claude Opus 4.6Anthropic | 90 |
| 11 | GPT-5.2-CodexOpenAI | 90 |
| 12 | GPT-5.2OpenAI | 90 |
| 13 | Grok 4.20xAI | 89 |
| 14 | GPT-5.3-CodexOpenAI | 89 |
| 15 | GPT-5 ProOpenAI | 89 |
| 16 | Gemini 3 Flash PreviewGoogle | 88 |
| 17 | Grok 4xAI | 88 |
| 18 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 19 | GPT-5 CodexOpenAI | 88 |
| 20 | GPT-5OpenAI | 88 |
| 21 | GPT-5.1OpenAI | 87 |
| 22 | GPT-5.1-CodexOpenAI | 87 |
| 23 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 24 | DeepSeek V4 ProDeepSeek | 87 |
| 25 | o3 Deep ResearchOpenAI | 87 |
| 26 | o3 ProOpenAI | 87 |
| 27 | o3OpenAI | 87 |
| 28 | Claude Sonnet 4.6Anthropic | 85 |
| 29 | Claude Opus 4.5Anthropic | 85 |
| 30 | GPT-5.3 ChatOpenAI | 87 |
Use AI to decompose epics into user stories, estimate story points, and identify task dependencies. Function calling enables automated task creation in Jira or Linear.
Automatically generate daily standups, weekly status reports, and executive summaries from sprint data. JSON mode ensures structured output that feeds directly into dashboards.
Reasoning models analyze project constraints, team capacity, and timeline risks. They propose mitigation strategies and flag blockers before they become critical.
AI models help match team skills to tasks, balance workload across sprints, and forecast resource needs. Reduce bottlenecks and improve team utilization rates.
Reasoning models break down requirements into tasks, estimate effort, identify dependencies, and suggest timelines. They learn from historical project data to improve estimates. Function calling integrates with Jira, Asana, and Linear for automated project setup.
Models generate sprint plans, write daily standup summaries, create retrospective action items, and produce sprint review reports. They analyze velocity data and suggest capacity adjustments. JSON mode outputs structured data for PM tool integration.
Large output generates comprehensive status reports. Reasoning tailors detail level for different audiences (executives vs engineers). Streaming enables real-time report drafting. Web search provides industry benchmarks and competitor timeline comparisons.
Models identify project risks from requirements analysis, suggest mitigation strategies, and create contingency plans. They analyze issue patterns to predict future blockers. Function calling queries issue trackers to generate automated risk assessments.