For pure search-with-citations workloads, Bing Copilot accessed via an Apify actor is cheaper than the ChatGPT API by roughly 3–10x per query, mainly because you avoid paying for both the model tokens and a separate web-search tool call. ChatGPT API only wins when you need long custom reasoning chains on top of the search result — for raw "answer + sources" extraction, Copilot is the budget pick.
Quick Answer
Bing Copilot vs ChatGPT API: Bing Copilot is cheaper for search-style queries because Microsoft bundles the web retrieval and the generated answer into one free-tier product, and scraping it via an Apify actor costs roughly $0.003–$0.01 per query with no API key required. The ChatGPT API charges separately for input tokens, output tokens, and (if you use gpt-4o-search-preview or a web-search tool) a per-call fee of about $0.025–$0.035 per search. For 10,000 search queries per month, expect ~$30–$100 via the Copilot actor vs ~$250–$400 via the OpenAI API with web search enabled. If you just need "what does the web say about X" with citations, Copilot wins on cost.
How much does the ChatGPT API actually cost per search query?
The ChatGPT API has three cost layers when used for search:
- Input tokens — your prompt plus any retrieved web content fed back to the model
- Output tokens — the generated answer
- Web search tool call — $25–$35 per 1,000 calls for
gpt-4o-search-previewor built-in web search tools
A realistic search query looks like this:
- Prompt: ~200 tokens
- Retrieved web context: ~3,000 tokens (5 pages × 600 tokens)
- Answer with citations: ~500 tokens
- One web search call
On gpt-4o ($2.50 input / $10 output per 1M tokens) plus one $0.030 search call:
- Input: 3,200 × $0.0000025 = $0.008
- Output: 500 × $0.00001 = $0.005
- Search call: $0.030
- Total: ~$0.043 per query
At 10,000 queries/month that's $430. On gpt-4o-mini you can shave it to ~$0.033 per query, still $330/month. And you're still maintaining prompts, handling rate limits, and parsing citations yourself.
How much does Bing Copilot cost via the Apify actor?
The Bing AI Search (Copilot) Answers actor uses Apify's pay-per-use model. There's no OpenAI key, no Bing API key, no token accounting.
Typical costs based on actor runtime and the Apify platform:
- Compute units: ~0.005–0.01 per query
- Result storage: negligible
- Total: ~$0.003–$0.01 per query
At 10,000 queries/month: $30–$100. The actor returns:
- The full AI-generated summary Copilot shows on the results page
- Inline citations with source URLs
- The query echoed back for joining
Compared to the ChatGPT API math above, that's roughly 4–14x cheaper for the same output shape: an answer with sources.
Bing Copilot vs ChatGPT API: side-by-side cost table
| Workload | Bing Copilot (Apify actor) | ChatGPT API (gpt-4o + search) |
|---|---|---|
| 100 queries | ~$0.50 | ~$4.30 |
| 1,000 queries | ~$5 | ~$43 |
| 10,000 queries | ~$50 | ~$430 |
| 100,000 queries | ~$500 | ~$4,300 |
| Setup time | 5 minutes | 1–3 hours |
| API keys needed | None | OpenAI |
| Citations included | Yes, native | Manual parsing |
| Rate limits | Actor-level concurrency | Tier-based, strict |
Which is better for SEO research and SERP monitoring?
Bing Copilot. SEO teams care about what the search engine itself says — the AI overview Bing actually surfaces to users is the ground truth, not a synthesized answer from a separate model.
Use cases where Copilot wins:
- Tracking AI overviews for target keywords — you need Bing's actual response, not ChatGPT's interpretation
- Citation mining — which domains does Bing Copilot cite for "best CRM for small business"? That data only exists on Bing's side
- Brand monitoring — does Copilot mention your brand when users ask comparison questions?
- Competitor visibility audits — run 500 queries, see which competitors appear in cited sources
The ChatGPT API can't tell you any of this, because its answers come from OpenAI's training data plus whatever web pages OpenAI's search tool happens to fetch — a totally different surface than Bing.
When is the ChatGPT API the right choice instead?
ChatGPT API beats Copilot scraping when:
- You need custom system prompts — "Answer only in JSON with these fields" can't be sent to Copilot
- You need multi-step reasoning — chains of thought, tool use, function calling
- You're building a chatbot, not a search tool — conversational memory matters
- You need deterministic structured output — JSON mode, strict schemas
- The query isn't really a search query — code generation, summarization of user-provided text, translation
For those workloads, paying $0.04 per call is justified because you're getting reasoning, not retrieval. But the moment your prompt is essentially "search the web for X and tell me what it says," you're paying OpenAI to do something Bing already did for free.
Can I combine both — use Bing Copilot for retrieval and ChatGPT for processing?
Yes, and this is usually the cost-optimal architecture for production pipelines:
- Run the query through the Bing Copilot actor → get answer + citations
- Pass the structured result into
gpt-4o-minifor reformatting, classification, or extraction - Skip OpenAI's web search tool entirely
Cost math for 10,000 queries:
- Copilot actor: ~$50
- gpt-4o-mini reformatting (300 in / 200 out tokens): ~$5
- Total: ~$55 vs $330+ for pure ChatGPT API with search
You get the best of both: Bing's actual SERP data plus the ChatGPT API's structured output. The actor handles the "expensive" part (web retrieval at scale), and OpenAI handles only what it's uniquely good at.
What about rate limits and reliability?
ChatGPT API rate limits scale with your usage tier. New accounts on tier 1 get 500 RPM on gpt-4o and lower on search-preview models. Hitting tier 4 takes weeks of spending. The web-search tool adds latency of 3–8 seconds per call.
The Bing Copilot actor on Apify scales with concurrent actor runs — you can fan out 10–50 parallel runs depending on your Apify plan. There's no waiting for "tier upgrades." Each query typically returns in 4–12 seconds, comparable to OpenAI's search-augmented calls.
For burst workloads (say, 5,000 queries in an hour for a one-off competitor audit), the Copilot actor is dramatically easier to scale because Apify bills per-use rather than gating on account history.
FAQ
Q: Is Bing Copilot really free to use directly? Yes, Copilot is free to use on bing.com — but there's no official API for programmatic access at consumer pricing. The Apify actor exists specifically to bridge that gap, giving you scriptable access with pay-per-use billing instead of a flat enterprise contract.
Q: Does the Bing Copilot actor return citation URLs? Yes. Each response includes the AI-generated summary plus the cited source URLs that Copilot references inline. This is the same citation data a human sees on bing.com, which makes it usable for SEO tracking, fact-checking, and source attribution.
Q: What's the catch with scraping Copilot vs using the ChatGPT API?
You're locked into Bing's answer format and can't inject system prompts. If you need control over output structure, run the Copilot answer through a cheap model like gpt-4o-mini afterward — combined cost is still far below using ChatGPT's web search directly.
Q: How does Google AI Overview compare on price? Google doesn't offer a paid API for AI Overviews at all, so the only options are scraping actors similar to the Bing one. Per-query economics are roughly equivalent (~$0.005–$0.01), but Bing Copilot's responses tend to be longer and include more citations, making them better value for research workloads.
Q: Will OpenAI lower web search pricing to compete? Possibly, but at $25–$35 per 1,000 search calls plus token costs, OpenAI would need a 5–10x cut to match Copilot scraping. For now, if cost-per-search is the deciding factor, the Apify actor is the pragmatic choice — and you can always swap providers later since both return text + citations.