Your unbiased guide to the world's smartest AIs
One-click access to today's frontier leaders. Ranked by capability, updated weekly.
Best planning, debugging, and self-correction in the game. The AI coworker developers actually trust.
Dominates reasoning and multimodal tasks. Scored 77% on ARC-AGI-2 — double its predecessor — and leads on graduate-level science benchmarks.
Multi-agent architecture with 2M context and zero corporate filter. Best for high-stakes research and brainstorming without the sugarcoating.
First fully retrained base since GPT-4.5. Leads agentic coding benchmarks with 82.7% on Terminal-Bench 2.0 and 73.1% on Expert-SWE. The enterprise default for autonomous multi-step work.
Elo ratings from Chatbot Arena blind votes. These shift weekly — here's the current snapshot.
No API key, no usage limits, no data leaving your machine. The best open-weight models ranked by Elo.
Google's Gemma 4 31B ranks #3 among all open-weight models on LMArena with an Elo of 1452 — beating models 20x its size. Fits a single RTX 4090 at Q4_K_M and ships Apache 2.0.
Alibaba's Qwen3 flagship dense model. Matches Qwen2.5-72B performance in a 32B package that fits a single RTX 4090, with hybrid thinking/non-thinking modes and Apache 2.0.
The strongest model that comfortably fits a single 24 GB GPU. Adds vision and tool-use over 3.1, tightly instruction-tuned, and Apache 2.0 with no usage restrictions — the best entry point for local AI.
No hype. Where each model actually leads, based on benchmarks and real-world usage as of today.
Currently #1 in blind user votes on LMArena with 1503 Elo. Gemini 3.1 Pro close behind at 1493.
Crushes it on planning, debugging, and self-correction. Many devs have switched and aren't looking back.
Leads on PhD-level benchmarks like GPQA and ARC-AGI subsets. Claude and Grok are strong contenders.
Shines for maximally truthful, witty conversation. Great for brainstorming without corporate polish.
Weekly analysis, honest takes, and hidden gems. No engagement bait.
OpenAI shipped GPT-5.5 yesterday at $5/$30 per million tokens — exactly double GPT-5.4. Anthropic spent April cutting prices; OpenAI just opted out of the cost war and bet on agents instead.
Opus 4.7 ships at the same $5 input price as 4.6, with the same 1M context window, and a 1503 Elo that tops the Arena. That nothing about pricing moved is precisely the story.
Anthropic cut Opus 4.6 input pricing from $15 to $5 per million tokens. At that price it now undercuts Gemini and GPT-5.4 on input — and breaks the conventional cost-justification for tiered routing.
Pairing a cheap executor with an expensive Opus advisor that only speaks at decision forks. The numbers are hard to dismiss — and the mental model behind them matters more than the benchmarks.
Anthropic built a model that dominates 17 of 18 benchmarks and achieves 100% on cybersecurity tasks — then decided the world isn't ready for it. Here's what that tells us about where AI is headed.
Don't sleep on Mistral 7B. This openly available model punches above its weight, offering impressive performance and a permissive license – making it a crucial choice for developers.
Emu, a lightweight agent from DeepMind, consistently outperforms many larger models on complex reasoning tasks — and it’s incredibly accessible. Here’s why this tiny titan is a serious contender.
Grok is rapidly emerging as a surprisingly capable model from xAI, and deserves your attention beyond the media circus. Here’s an honest look at what it does well and where it still falls short.