COMPARE AI MODELS
GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, DeepSeek V4, Grok 4.3, Qwen3.6-Max, Mistral Large 3 — feature, price, and use-case comparison across every major lab. Or run them all in parallel through an LLM council.
There is no single 'best AI model' — there's the best model for your job. Claude Opus 4.7 wins on nuance and long-form reasoning. GPT-5.5 wins on tool-calling and code. Gemini 3.1 Pro wins on 1M+ context and multimodal. DeepSeek V4 wins on cost-per-token. Grok 4.3 wins on real-time / X-corpus questions. Qwen3.6-Max wins on multilingual. Mistral Large 3 wins on data sovereignty and EU compliance. Most teams settle on 2-3 of these and switch by task — or they run all of them through an LLM council and let the moderator synthesize. This page summarizes the cross-lab landscape so you can decide either way.
It depends on the job. Claude Opus 4.7 wins on writing nuance and long-form reasoning. GPT-5.5 wins on tool-calling. Gemini 3 Pro wins on 1M+ context and multimodal. DeepSeek V4 wins on cost-per-token. Grok 4.3 wins on real-time questions. There is no universal winner — that's exactly why Council AI runs them in parallel.
We surface third-party benchmark scores (Intelligence Index, GPQA, MATH, LiveCodeBench) on the /benchmarks page. The verdicts on this page also incorporate hands-on use across the team. We don't sell any one provider's API directly, so we have no incentive to push you toward a specific lab.
Yes — that's the core Council AI workflow. Type a prompt, select up to 10 models, watch them respond in parallel, and let the moderator synthesize. Free includes 3 models per chat; Pro and Ultra go up to 10.