COMPARE AI MODELS

Compare every frontier AI model side-by-side (2026)

GPT-6.1 Sol, Claude Opus 5.5, Gemini 3.1 Pro, DeepSeek V4 Pro, Grok 4.7, Qwen3.8-Max, Mistral Large 4 — feature, price, and use-case comparison across every major lab. Or run them all in parallel through an LLM council.

Run all of them in one chat Live benchmarks

There is no single 'best AI model' — there's the best model for your job. Claude Fable 5.1 wins on nuance and long-form reasoning. GPT-6.1 Sol wins on tool-calling and code. Gemini 3.1 Pro wins on 1M+ context and multimodal. DeepSeek V4 Pro wins on reasoning per dollar. Grok 4.7 wins on real-time / X-corpus questions. Qwen3.8-Max wins on multilingual. Mistral Large 4 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.

Quick verdict by use case

If you want...	Pick	Why
Best writing nuance	Claude Fable 5.1	Strongest at tone, voice, and editorial taste.
Best general code	GPT-6.1 Sol + Claude Sonnet 5.5	GPT for tool calling and agentic loops; Sonnet for code review.
Massive context (1M+)	Gemini 3.1 Pro or Grok 4.20	Gemini pairs 1M context with strong multimodal; Grok 4.20 stretches to 2M.
Lowest cost per token	GPT-6 Luna or Claude Haiku 5.5	$0.10 / $0.50 per 1M tokens. For cheap reasoning, DeepSeek V4 Pro ($1.31 / $3.96).
Real-time / current events	Grok 4.7	Native X/web/news search integration.
Multilingual	Qwen3.8-Max	Strongest Chinese + multilingual frontier model.
EU data residency	Mistral Large 4	French lab; EU-resident endpoints; strong on European languages.
Maximum verification	All of them, in council mode	Cross-lab consensus catches single-model hallucinations.

Detailed comparisons

ChatGPT vs Claude — direct head-to-head across coding, writing, reasoning, context, and price.
Best AI for Coding 2026 — Sonnet 5.5, GPT-6.1 Sol, Gemini 3.1 Pro, Codestral, DeepSeek V4 Pro compared.
DeepSeek vs ChatGPT — cost vs. capability for the cheaper challenger.
Council AI vs ChatGPT — when to use which.
Council AI vs Claude — when to use which.
Council AI vs Perplexity — cited search vs. multi-model consensus.
Live benchmarks — Intelligence Index, GPQA, MATH, LiveCodeBench scores updated as labs publish.

Frequently asked questions

Which AI model is best in 2026?

It depends on the job. Claude Fable 5.1 wins on writing nuance and long-form reasoning. GPT-6.1 Sol wins on tool-calling. Gemini 3.1 Pro wins on 1M+ context and multimodal. DeepSeek V4 Pro wins on reasoning per dollar. Grok 4.7 wins on real-time questions. There is no universal winner — that's exactly why Council AI runs them in parallel.

Are these benchmarks objective?

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.

Can I test multiple models against the same prompt?

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.