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Compare the Most Common LLM’s and Chatbots

What Matters To You? (quick refresher)

GPR Score = how your brand shows up in generated answers across models (green/yellow/red guidance in your scorecard). Use it to find gaps, fix inaccuracies, and re‑test across releases.

Search-grounded models (those that browse and cite) are the fastest lever for visibility today; pretrained knowledge (no search) updates slowly and requires entity/knowledge‑graph work.

Cutoff-to-release lag is real: new facts often take months before they show in base models, so ship structured, crawlable content now and ground via search where possible.

Model-by-model briefs

Claude Opus 4 & Sonnet 4 (May 22, 2025)

– Hybrid reasoning; extended thinking + web search; improved memory (dev/file‑assisted) and deployment via Bedrock & Vertex AI. Great for long, thoughtful answers with tools. (Anthropic)

– Thinks well and for longer. Can search the web. Better memory with files. Runs on Bedrock and Vertex AI. Good for long, careful answers with tools.

DeepSeek R1

– Open‑weight reasoning model; devs self‑host and add their own retrieval; good for transparent thinking pipelines; requires your search layer for citations. (DeepResearch.wiki)

– Open model you can host yourself. You add your own search and citations. Good when you want visible “how it thought” steps.

GPT‑OSS 120B (Aug 5, 2025)

– Apache‑2.0 open‑weight 120B from OpenAI; for RAG/grounding experiments and cost‑controlled deployments where you control sources/citations. (OpenAI)

– You control hosting, sources, and cost. Good for grounding/RAG experiments.

GPT‑4.1 (Apr 14, 2025)

– 1M‑token context; API‑first; better instruction following/coding; add retrieval to expose brand sources; later surfaced in ChatGPT tiers. (OpenAI)

– Handles very long inputs (about 1M tokens). Strong at following instructions and coding. Add retrieval to show your brand sources. Later appeared in ChatGPT tiers.

GPT‑ 4o / 4o in ChatGPT

– Default in ChatGPT from Apr 30, 2025 to Aug 7, 2025; Search mode yields linked sources; target this for GPR because of huge user reach. (TechCrunch)

– “Search” mode shows linked sources.

GPT‑ 4o with Web Search

– Run the ChatGPT “Search/Browse” flow for audit screenshots; answers carry citations (ideal for GPR evidence). (OpenAI)

GPT‑5 Chat & GPT‑5 mini (Aug 2025)

– New flagship & small variants; gpt‑5‑chat as general tier; gpt‑5‑mini for speed; both can be search‑grounded in ChatGPT/tools. (OpenAI)

– New flagship and a faster small model. Both can use search grounding.

Gemini 2.5 (Pro/Flash)

– Search‑grounded in app and Vertex AI; strong long‑context; enterprise grounding controls; note Google account data can shape personalization if enabled. (Google Cloud)

– Note: if Google account personalization is ON, it may shape results

Gemini 2.5 with Web Search

– Use explicit “with web” mode for citation‑rich answers and faster inclusion of your brand updates. (Google Cloud)

– Turn on “with web” for fast, cited answers and quick pickup of your brand updates

Grok 4

– New xAI flagship integrated with X; premium plan; can perform web lookups; public reporting scrutinizes source selection/bias—capture citations carefully in audits. (TechCrunch)

– Can look up the web. Watch for source mix and bias.

Meta: Llama 3.3 (70B Instruct)

– Open weights, 128k context; text‑only; great backbone for your RAG tests; not search‑grounded by default. (Hugging Face)

– Text-only. Great base for your own data (RAG).

Meta: Llama 4 Scout & Maverick (Apr 5, 2025)

– New MoE open‑weight models published on Hugging Face; use with your own retrieval for deterministic, citation‑rich demos. (Hugging Face)

– New open models.

Perplexity Sonar (with Web Search)

– Purpose‑built AI search with citations and API pricing; Sonar Pro/Reasoning tiers; “No training on customer data.” Strong baseline for GPR because it mirrors AI Overviews behavior (multi‑source). (Perplexity)

– Built for AI search. Always cites.

Qwen3 32B

– Open weights, 32.8B, 32–128k context depending on build; supports “thinking” and “non‑thinking” modes; add your own search/citations. (Hugging Face)

– Handles long inputs. Has “thinking” and “non-thinking” modes.

o3 (OpenAI)

– First OpenAI reasoning model with full ChatGPT tool access (browsing, Python, image/file analysis); use “Search” for cited answers. (OpenAI)

Got Questions? We’ve Got Answers

Which models should I optimize for first?

Start with the default consumer models that support web citations: ChatGPT (GPT‑4o/5 with Search), Perplexity Sonar, and Gemini 2.5 with Search. These reflect updates fastest and show your sources directly, which helps your GPR Score. (OpenAI)

Why does my result differ between testers?

Personalization & memory. ChatGPT can use history unless disabled; Gemini may use Google account data if allowed; Claude’s new memory is opt‑in/project‑scoped. Document tester settings in your audits. (OpenAI Help Center)

How long until a base model learns my update?

Expect months between crawl, training, and release; in the meantime, publish structured, crawlable content and rely on search‑grounded runs for time‑sensitive facts.

Sources (key references)

Anthropic Claude 4 announcement (Opus 4 & Sonnet 4; tool use with web search, pricing, availability). (Anthropic)
OpenAI GPT‑4.1 (1M context, API), GPT‑4o (omni, default in ChatGPT Apr 30, 2025), ChatGPT Search, o3 system card, GPT‑5 and gpt‑5‑mini (Chat & API). (OpenAI)
Perplexity Sonar API & pricing (citations, no training on customer data). (Perplexity)
Gemini 2.5 & Search grounding (Vertex AI docs); privacy/account data references. (Google Cloud)
Grok 4 launch & context. (TechCrunch)
Meta Llama 3.3 and Llama 4 (Scout/Maverick) open‑weights. (Hugging Face)
Qwen3 32B model cards. (Hugging Face)
OpenAI GPT‑OSS 120B (open weights). (OpenAI)