Bulk LLM Runner — GPT, Claude, Gemini, Perplexity (No API Key)

Run hundreds of prompts in parallel across GPT-5, Claude Sonnet 4.5, Gemini 2.5 Pro, Perplexity Sonar — and 400+ other large language models — without an OpenAI, Anthropic, Google or Perplexity API key. Built-in web search, PDF reading, vision input, strict JSON output and side-by-side model comparison. No code. No SDK. One form, every model.

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Why people use this actor

• Bulk by design. Paste 10, 100 or 1,000 prompts — they run concurrently (1–16 in parallel). What takes hours in ChatGPT finishes in minutes here.
• The Big 4 in one place: GPT, Claude, Gemini, Perplexity. Plus DeepSeek, Llama 4, Grok, Qwen, Kimi, Mistral, Command. Switch models from a dropdown — no rewriting code.
• No API keys. You don't need an OpenAI key, an Anthropic key, a Google AI Studio key, or a Perplexity key. Your Apify account is the only login.
• All tools on by default.
  • Live web search on any model (even ones without native browsing).
  • PDF & URL parsing — drop a link in the prompt and the model reads the page.
  • Vision / image input for multimodal models.
• Side-by-side model comparison. Add extra models in compare_models and the actor runs every prompt against each — one dataset row per (prompt × model). Pick the winner with data.
• Strict JSON output. Force the model to return JSON that matches your schema — perfect for data extraction, classification and scraping cleanup.
• Cost transparency. Every dataset row carries the exact USD cost of that call, and the run summary totals tokens + spend.
• One-click export. Results land in a structured dataset — download as JSON, CSV or Excel, or pipe into Zapier, Make, n8n or Google Sheets via Apify's native integrations.

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Three example prompts that ship with the actor

These are the defaults you'll see when you open the form — try them as-is to feel what the actor can do.

1. SEO content factory (bulk marketing copy)

Act as a senior SEO copywriter. For the product Patagonia Nano Puff jacket, write: (1) a 60-word benefit-driven product description, (2) an SEO meta title under 60 characters, (3) a meta description under 155 characters, and (4) 8 long-tail keywords people actually search for. Return everything as clean Markdown.

Swap the product name and run with 1,000 prompts in one go to generate a full catalogue's worth of SEO copy in minutes. Pair with Claude Sonnet 4.5 for quality or Gemini 2.5 Flash for cheap bulk.

2. Real-time market intelligence (web search)

Search the web for the three most recent funding rounds (last 30 days) in the European AI-agent startup space. For each, return: company name, amount raised, lead investor, one-sentence description, and the source URL. Format as a Markdown table.

With Enable web search on, even non-browsing models get live results. Run the same prompt daily on a schedule for an automated competitive-intel brief. Perplexity Sonar Pro is the natural choice; GPT-5 with :online works just as well.

3. Structured extraction from any URL (JSON output)

Read the page at https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) and extract: (1) year introduced, (2) paper title and authors, (3) the three core components in plain English, (4) two products that use it today, (5) one well-known limitation. Return as a JSON object with exactly those five keys.

Set Response format = JSON Schema, paste a schema, and the model is forced to return clean structured data — ready to drop into a database. Combine with Enable PDF / file parsing to run the same extraction on hundreds of PDFs, papers or product pages.

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Who it's for

• Marketing & SEO teams — generate 500 product descriptions, meta titles, FAQs or ad variants in one run.
• Researchers & analysts — A/B test the same question across GPT-5, Claude 4.5, Gemini 2.5 Pro and Perplexity Sonar Pro side by side.
• Data teams — turn unstructured pages, PDFs and emails into clean JSON at scale.
• Founders & no-code builders — wire AI into Zapier, Make, n8n or Google Sheets without touching code.
• Developers — prototype prompts at scale before locking in one model in production.

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Supported models (the most-used LLMs in 2026)

Provider	Models
OpenAI (GPT)	GPT-5, GPT-5 mini, GPT-5 nano, GPT-4.1, GPT-4.1 mini, GPT-4o, GPT-4o mini, o3, o4-mini
Anthropic (Claude)	Claude Sonnet 4.5, Claude Opus 4.1, Claude Haiku 4.5, Claude 3.5 Sonnet, Claude 3.5 Haiku
Google (Gemini)	Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.5 Flash Lite, Gemini 2.0 Flash
Perplexity	Sonar Pro, Sonar, Sonar Reasoning Pro, Sonar Reasoning, Sonar Deep Research
DeepSeek	DeepSeek V3.1, DeepSeek R1, DeepSeek V3
xAI	Grok 4, Grok 4 Fast, Grok Code Fast 1
Meta	Llama 4 Maverick, Llama 4 Scout, Llama 3.3 70B
Alibaba	Qwen3 Coder, Qwen3 235B A22B, Qwen 2.5 72B
Others	Moonshot Kimi K2, Mistral Large 2411, Mistral Small 3.2, NVIDIA Nemotron, Z.ai GLM 4.6, Cohere Command A

Need a model that's not in the dropdown? Paste any model id into Custom model — the full catalogue is at https://openrouter.ai/models.

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Pricing

This Actor uses a pay-per-event pricing model on the Apify platform. You pay for the tokens used by the OpenRouter API. Free tier users pay 10x more than paying users and are limited to 2,048 tokens per response.

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Frequently asked questions

Do I need an OpenAI / Anthropic / Google / Perplexity API key?

No. You don't sign up anywhere else. Your Apify account is the only key you need — billing for all 400+ models is bundled into the run.

Can I really run many prompts at once?

Yes — that's the whole point. The prompts field accepts an array; the concurrency slider (1–16) controls parallelism. 100 prompts in ~30 seconds is normal.

Can I compare GPT-5, Claude 4.5, Gemini 2.5 and Perplexity Sonar on the same task?

Yes. Pick one model in Model, then add the others to Compare with extra models. You get one row per (prompt × model) — perfect for picking the best model for your use case.

Does it support web search?

Yes. Toggle Enable web search and any model — even ones without native browsing — gets real-time results. Perplexity Sonar models also have it baked in.

Can the model read PDFs and URLs?

Yes. Toggle Enable PDF / file parsing, mention the URL in your prompt, and the file-parser plugin extracts the content for the model.

Does it support vision / image input?

Yes. Paste public image URLs into the image_urls field and they're attached to every prompt. Works with GPT-4o/5, Claude 4.x, Gemini 2.5, Llama 4 and Qwen-VL.

Can it return strict JSON for data extraction?

Yes. Set Response format to JSON Schema, paste a JSON Schema, and the model is forced to obey it. Great for scraping cleanup, classification and ETL pipelines.

How is cost reported?

Every dataset row carries cost_usd for that call. The run summary (in the key-value store under SUMMARY) totals tokens and USD spend.

Can I use it with Zapier, Make, n8n or Google Sheets?

Yes. Apify ships native integrations for all of them. Trigger this actor on a new sheet row, get the answers back automatically.

Which model should I pick?

• Best overall (coding, agents, writing): Claude Sonnet 4.5
• Hardest reasoning: GPT-5, Claude Opus 4.1, o3
• Cheapest reliable bulk: Gemini 2.5 Flash Lite, GPT-5 nano, DeepSeek V3.1
• Up-to-date answers without toggles: Perplexity Sonar Pro
• Open-source / self-hostable path: Llama 4, DeepSeek R1, Qwen3, Kimi K2

Is my data used for training?

No. Requests pass through to the upstream provider you picked. Most providers (Anthropic, OpenAI API, Google Vertex routes, Perplexity API) do not train on API inputs.

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Output format

One dataset item per (prompt × model):

{
  "prompt": "Search the web for the three most recent funding rounds ...",
  "model": "perplexity/sonar-pro:online",
  "response": "| Company | Raised | Lead | Description | Source |\n| --- | --- | --- | --- | --- |\n| ... |",
  "tools_used": ["web_search"],
  "annotations": [{"type": "url_citation", "url": "https://..."}],
  "tool_calls": [],
  "usage": {"prompt_tokens": 312, "completion_tokens": 487, "total_tokens": 799, "cost": 0.0042},
  "cost_usd": 0.0042,
  "error": null
}

A SUMMARY record in the run's key-value store reports total prompts, models used, tokens in/out, failures and total USD cost.

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Tags

bulk-llm · batch-ai · no-api-key · gpt-5 · gpt-4o · claude-sonnet-4.5 · claude-opus-4.1 · gemini-2.5-pro · gemini-2.5-flash · perplexity-sonar · deepseek-r1 · llama-4 · grok-4 · qwen3 · kimi-k2 · multi-model-comparison · prompt-runner · ai-batch · llm-batch · chatgpt-bulk · web-search-ai · pdf-ai · vision-ai · json-extraction · no-code-ai