300 models ranked for ML engineering. Scored with bonuses for reasoning (architecture decisions), large context (reading full codebases), large output (complete implementations), JSON mode, and function calling.
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 ProOpenAI | 94 |
| 2 | GPT-5.4OpenAI | 94 |
| 3 | GPT-5.4 MiniOpenAI | 93 |
| 4 | GPT-5.2 ProOpenAI | 93 |
| 5 | GPT-5.2OpenAI | 93 |
| 6 | Claude Opus 4.6Anthropic | 92 |
| 7 | GPT-5 ProOpenAI | 92 |
| 8 | o3 Deep ResearchOpenAI | 92 |
| 9 | Claude Opus 4.5Anthropic | 90 |
| 10 | GPT-5OpenAI | 90 |
| 11 | Gemini 3 Flash PreviewGoogle | 89 |
| 12 | Claude Sonnet 4.6Anthropic | 89 |
| 13 | Claude Sonnet 4.5Anthropic | 89 |
| 14 | o3 ProOpenAI | 88 |
| 15 | Grok 4.1 FastxAI | 87 |
| 16 | Gemini 3.1 Pro PreviewGoogle | 86 |
| 17 | o3OpenAI | 86 |
| 18 | GPT-5.1OpenAI | 85 |
| 19 | MiMo-V2-OmniXiaomi | 85 |
| 20 | MiMo-V2-ProXiaomi | 85 |
| 21 | GPT-5.4 NanoOpenAI | 85 |
| 22 | Seed-2.0-LiteByteDance | 85 |
| 23 | Qwen3.5-9BAlibaba | 85 |
| 24 | Seed-2.0-MiniByteDance | 85 |
| 25 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 85 |
| 26 | GPT-5.3-CodexOpenAI | 85 |
| 27 | Qwen3.5 Plus 2026-02-15Alibaba | 85 |
| 28 | Kimi K2.5Moonshot AI | 85 |
| 29 | GPT-5.2-CodexOpenAI | 85 |
| 30 | Seed 1.6 FlashByteDance | 85 |
Design neural network architectures, select hyperparameters, and choose training strategies. Reasoning models analyze trade-offs between model complexity and performance.
Generate PyTorch, TensorFlow, and scikit-learn code for training pipelines, data loaders, custom layers, and evaluation scripts. Large output produces complete implementations.
Analyze experiment results, suggest next steps, and document findings. JSON mode structures experiment metadata for tools like MLflow, W&B, and Neptune.
Create model serving configs, write Docker/Kubernetes manifests for inference, and build monitoring dashboards. Function calling integrates with deployment APIs.
Based on our composite scoring updated hourly, the top-ranked models are shown at the top of this page. Rankings consider benchmarks, pricing, capabilities, and community adoption.
Yes, several models listed on this page offer free tiers or are fully open-source. Look for models marked as Free in the pricing column above.
We use a composite scoring system combining benchmark performance, capability matching, pricing, context window size, and community adoption. Scores are updated hourly.
Rankings refresh every hour using real-time data from benchmarks, API testing, and community metrics. The data shown always reflects the most current performance.