251 models ranked for supply chain and logistics. Scored with bonuses for reasoning (optimization), function calling (ERP integration), JSON mode (structured data), large context (documents), and web search (market data).
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 92 |
| 2 | GPT-5.4OpenAI | 92 |
| 3 | GPT-5.2 ProOpenAI | 91 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 5 | Claude Opus 4.6Anthropic | 90 |
| 6 | Grok 4.20xAI | 89 |
| 7 | GPT-5.3-CodexOpenAI | 89 |
| 8 | GPT-5 ProOpenAI | 89 |
| 9 | Gemini 3 Flash PreviewGoogle | 88 |
| 10 | Grok 4xAI | 88 |
| 11 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 12 | GPT-5.2-CodexOpenAI | 90 |
| 13 | GPT-5.2OpenAI | 90 |
| 14 | o3 Deep ResearchOpenAI | 87 |
| 15 | o3 ProOpenAI | 87 |
| 16 | o3OpenAI | 87 |
| 17 | GPT-5 CodexOpenAI | 88 |
| 18 | GPT-5OpenAI | 88 |
| 19 | Claude Sonnet 4.6Anthropic | 85 |
| 20 | Claude Opus 4.5Anthropic | 85 |
| 21 | GPT-5.1OpenAI | 87 |
| 22 | GPT-5.1-CodexOpenAI | 87 |
| 23 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 24 | Gemini 2.5 ProGoogle | 84 |
| 25 | Gemini 2.5 Pro Preview 06-05Google | 84 |
| 26 | Gemini 2.5 Pro Preview 05-06Google | 84 |
| 27 | Claude Sonnet 4.5Anthropic | 82 |
| 28 | o4 Mini Deep ResearchOpenAI | 81 |
| 29 | o4 MiniOpenAI | 81 |
| 30 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 81 |
Reasoning models analyze historical patterns, seasonal trends, and external factors to predict demand. Web search integration adds real-time market signals to forecasting models.
Function calling integrates with ERP and warehouse management systems. JSON mode ensures structured output for automated reorder points and stock-level adjustments.
Reasoning models optimize delivery routes, warehouse allocation, and transportation schedules considering constraints like capacity, deadlines, and cost targets.
Large context models process supplier contracts, performance reports, and compliance documents. Web search tracks supplier news, disruptions, and market conditions.
Models integrate with ERP, WMS, and TMS systems via function calling to provide real-time visibility across the supply chain. They analyze multi-tier supplier data, track shipments, and identify potential bottlenecks before they cause disruptions.
Reasoning models analyze historical demand, seasonality, promotions, and external factors to generate forecasts. Web search provides market intelligence and competitor activity. They identify demand signals earlier than traditional methods and suggest inventory adjustments.
Web search monitors supplier financial health and news. Reasoning evaluates supplier performance and risk. Function calling integrates with procurement systems. JSON mode outputs structured scorecards and RFP responses. Large context processes complex supplier agreements.
Models design warehouse layouts, optimize pick paths, generate replenishment plans, and schedule deliveries. Reasoning handles complex constraints (capacity, labor, delivery windows). Function calling integrates with WMS and robotics systems for automated execution.