300 models ranked for embedded and IoT development. Scored with bonuses for reasoning (hardware debugging), large context (datasheets), JSON mode, function calling, streaming, and open-source availability (edge deployment).
| # | 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 | Qwen3.5-9BAlibaba | 85 |
| 15 | Kimi K2.5Moonshot AI | 85 |
| 16 | Qwen3 VL 8B ThinkingAlibaba | 85 |
| 17 | Qwen3 VL 30B A3B ThinkingAlibaba | 85 |
| 18 | o3 ProOpenAI | 88 |
| 19 | Nemotron 3 Super (free)NVIDIA | 84 |
| 20 | Grok 4.1 FastxAI | 87 |
| 21 | MiniMax M2.5 (free)MiniMax | 83 |
| 22 | MiniMax M2.7MiniMax | 83 |
| 23 | Grok 4.20 BetaxAI | 86 |
| 24 | Grok 4xAI | 86 |
| 25 | MiMo-V2-FlashXiaomi | 83 |
| 26 | Gemini 3.1 Pro PreviewGoogle | 86 |
| 27 | o3OpenAI | 86 |
| 28 | Trinity Miniarcee-ai | 82 |
| 29 | GPT-5.1OpenAI | 85 |
| 30 | MiMo-V2-OmniXiaomi | 85 |
Write and optimize embedded C/C++ code, generate microcontroller initialization, and create hardware abstraction layers. Models understand memory-constrained environments.
Reasoning models analyze serial logs, interpret hardware errors, and debug GPIO/I2C/SPI communication. Large context handles full datasheets and debug traces.
Generate task schedulers, semaphore management, and interrupt handlers. Models help with race condition detection and real-time constraint analysis.
Build MQTT/HTTP clients, format sensor data payloads, and generate cloud integration code. Open-source models can run on edge devices for local inference.
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.