ALL MODELS

Every AI model in the Council

23 approved models from 9 frontier labs: OpenAI, Anthropic, Google, Mistral, DeepSeek, Qwen, xAI, Moonshot, Z.ai. Run any subset in parallel, then get one synthesized verdict with the disagreements surfaced.

Get started See pricing

Council AI ships 23 frontier models from nine labs under one roof: GPT-5.6 Sol, Terra, and Luna from OpenAI; Claude Fable 5, Opus 5, Sonnet 5, and Haiku 4.5 from Anthropic; Gemini 3.1 Pro and 3.7 Flash from Google; Mistral Large 3 and Codestral; DeepSeek V4 Pro and V4 Flash; Qwen3.8-Max, Qwen3.7 Flash, and Qwen3-Coder; Grok 4.6, 4.3, and 4.20 (2M context); Moonshot Kimi K3 and Kimi K2.7 Code; plus Z.ai GLM-5.3 and GLM-5.2. You pick any 3–10 to run in parallel on a single prompt; a moderator synthesizes a consensus answer and surfaces disagreement.

Why a council of models?

Single-model answers carry single-model blind spots. Every frontier lab trains on a different data mix with different RLHF preferences. Ask one model and you get one perspective; ask seven and the wrong answers diverge while the right one repeats — disagreement becomes a signal, not noise.

Active model lineup

All 23 approved models. Pricing, context windows, and capabilities are listed on each model's deep-dive page. GPT-5.6 Sol, Claude Opus 5, Gemini 3.1 Pro, Grok 4.3, DeepSeek V4 Pro, Qwen3-Coder, Mistral Large 3, Kimi K3 are the headline picks; see the full list on the page.

Pick the right council size by tier

More models is not always better. Three top-tier models with high disagreement give you more signal than ten correlated ones. Free: 3 models. Starter: 5. Pro: 10. Ultra: 10 + RAG library.

Rule of thumb: pick 3 frontier models from 3 different labs for general work, then add specialists (Qwen3-Coder, Codestral, Grok 4.20 for long-context, Gemini 3.1 Flash-Lite for cheap fan-out) as the task demands.

Frequently asked questions

Which AI model is best for coding?

Claude Sonnet 5 leads price-performance for refactor-heavy tasks; Claude Fable 5 and Opus 5 are the ceiling. Qwen3-Coder, GLM-5.2, and Codestral are strong cost-efficient picks for bulk codegen.

Which AI model is best for writing?

Claude Fable 5 has the strongest voice and editorial taste; GPT-5.6 is more versatile across registers.

Which AI model is best for research and citations?

Grok 4.3 has the freshest real-time data via native X + web search; Gemini 3.1 Pro grounds in Google Search; GPT-5.6 Sol uses native web search.

Which AI model is best for long context?

Gemini 3.1 Pro and 3 Flash offer 1M-token native context. Grok 4.20 ships a 2M-token window.

Which AI model is best for math and reasoning?

GPT-5.6 Sol and Claude Fable 5 top GPQA / MATH; Grok 4.6 matches GPT-5.6 on the Artificial Analysis index.

Which AI model is best for cost-sensitive bulk work?

DeepSeek V4 Flash and Gemini 3.1 Flash-Lite are the cheapest frontier-quality options.

Which AI model is best for image and vision tasks?

Gemini 3.1 Pro and Gemini 3.7 Flash are natively multimodal. GPT-5.6 and Claude Opus 5 also handle image input strongly.

Which AI model is best for agents and tool use?

GPT-5.6 Sol has the most stable function-calling and structured-output behavior in long agent loops.