6 DeepResearch API Compared: OpenAI, Perplexity, Parallel, Tavily, Gemini, Valyu Features and Pricing · KBlip - Noise-Free AI News Aggregator.
DeepSeek’s Search and Fetch APIs priced at $0.75 per 1,000 successful requests (and $0.75 per 1,000 Fetch requests), with free usage through DeepSeek Harness, Claude Code or Codex until 00:00 Beijing time on 2026-11-01; OpenAI/Anthropic search tools priced at $10 per 1,000 plus tokens; Google Gemini API paid tier…
Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks - Exa 3.0 released with Exa Lite and Dynamic Highlights; pricing ~$4 per 1,000 requests; benchmarks claim auto ranks first on Exa-run benchmarks (8 benchmarks) as of October 2026.
DeepSeek Search API pricing: $0.75 per 1,000 calls (Search) and related Fetch API pricing and caps; compare to Tavily, Brave, Exa, SerpAPI, Google/Bing grounding tools; article documents DeepSeek launch and its price, caps, and related details.
Introducing Exa 3.0 | Exa Blog.
DeepSeek's Search and Fetch APIs price per-call at $0.75 per 1,000 successful requests per endpoint, with a 5 requests/second cap per endpoint; billing begins Nov 1 ( Beijing time) and calls through DeepSeek Harness, Claude Code, and Codex are free until then. This marks a material shift from per-token to per-call…
DeepSeek opens in-house search API with two endpoints (search and fetch) priced at $0.75 per 1,000 successful requests each; per-request billing starts Nov 1 2024 Beijing time; documentation and changelog indicate launch of in-house search API with public endpoints POST /v1/tools/search and POST /v1/tools/fetch.
DeepSeek opens its in-house search engine to developers with a new Search API that includes an authority tier and relevance score for results, and allows site: queries; pricing for Search and Fetch API is $0.75 per 1,000 successful requests, with additional per-site pricing under certain accounts.
DeepSeek launched a Search & Fetch API priced at $0.75 per 1,000 successful requests with a rate limit of 5 requests per second, plus related generation cost and free testing window until Nov 1, 2026; this represents a material pricing and API endpoint change for web search and page fetching.
Perplexity ended support for Sonar Chat Completions on 27 September 2026; Agent API pricing introduced with per-model token costs and tool fees, and Standalone Search API pricing; Async Sonar requests deprecated; changes documented on Perplexity pricing/migration details page (URL: ).
DeepSeek: DeepSeek Search and Fetch API pricing: $0.75 per 1,000 successful searches and $0.75 per 1,000 successful fetches (launched 17 October 2026); Exa $7 per 1,000 auto searches with contents up to 10 results; Firecrawl, Tavily, Parallel, Brave Search API priced $1 to $8 per 1,000; Fetch rate limits updated on…
The AI Pin reports DeepSeek pricing at $0.75 per 1,000 successful requests for both its Search API and Fetch API, with rivals Brave and Perplexity at $5 per 1,000 requests and Exa starting at $4; DeepSeek also caps at 5 requests per second for Search and 5 for Fetch.
DeepSeek monetizes the agent retrieval layer at $0.75 per 1,000 calls (Search and Fetch endpoints), with per-request billing starting November 1 and 5 requests/sec per account cap; competitors’ pricing cited (Brave $5/1,000; Exa $7/$12; Tavily $5–$8; Perplexity Sonar $5+).
documents a material change: Parallel Search pricing and throughput details introduced (Turbo/Fast at $1 per 1,000 requests; Basic/Advanced at $5; 10 results included; 1 credit per basic search) along with references to DeepSeek’s pricing and throughput (5 req/sec per account) and that Parallel offers…
Perplexity Photon Search Engine and Fast Search mode launched; Fast Search costs $1.00 per 1,000 requests versus $5.00 for standard search, with comparable benchmarks and latency improvements; Photon introduces Rust-based search engine and pre-assembly ranking before LM response.
Web search in Vani now runs on Parallel · Vani AI.
Vertex AI release notes | Google Cloud Documentation.
DeepSeek Opens V4.1-Flash-1017 Weights and $0.75 Search API | AI Weekly.
DeepSeek launches web search and scraping API, API briefly appears as V4.1 Flash-1017 snapshot, Harness v0.2.1-rc1 released — 哲见 · WISE AI.
DeepSeek's Search & Fetch API price for both /v1/tools/search and /v1/tools/fetch is $0.75 per 1,000 successful requests; pricing indicated for the new DeepSeek-V4.1-Flash-1017 release and free trial window starts billing at 00:00 Beijing time on November 1, 2026.
Older models removed from the model docs; GPT-6 Astra and DeepSeek V4 Pro added — forck.
DeepSeek: Search & Fetch APIs priced at $0.75 per 1,000 successful requests (per endpoint); limits 5 queries per second per account; billing only on HTTP 200 with results; free usage for Claude Code, Codex, and DeepSeek Harness ends at 16:00 UTC on Oct 31, 2026.
DeepSeek launches standalone Web Search and Fetch APIs for agents with priced per-1,000-successful-requests at $0.75; includes documentation and pricing details (Search: 1–50 results, default 10; Fetch: single URL up to 8,192 chars; 403/404 handling; limits: 5 qps for Search, 5 for Fetch; per-domain limit for Fetch).…
Tavily vs Exa vs Brave: The Page Text Costs More Than the Search | THE D*AI*LY BRIEF.
Daily Neural Digest: LLM API price changes — what moved in the catalogue (2026-10-15 snapshot) tracking price and context-window changes in 455 OpenRouter/OpenAI-style models; new/removed models; context window adjustments; threshold rules documented on the page.
Parallel’s official Search API page now documents the selected fast-search mode as “fast” rather than “turbo” in the previous snapshot. Because search modes are part of the API’s endpoint behavior and system record, this is a material mode-naming or configuration change requiring verification in the provider…
keenable.ai (read 2026-08-26): Agent Builder tier $4 / 1000 requests; Frontier tier $1 / 1000 requests at 100 RPS+; <250 ms p95 (US East); 100B+ documents.
Research guide (read 2026-08-26): research_effort frontier at $1,200 per 1k calls, background=true required (sync → 422), 30 s–12,000 s with p50 300 s. Other tiers: lite $12, standard $50, deep $100, exhaustive $450 per 1k. Not wired in the arena.
OpenAI's deprecations page (read 2026-08-26) has no deep-research entry. The 2026-12-11 shutdown announced 2026-06-11 covers o3-2025-04-16, o3-pro-2025-06-10 and gpt-5-*-2025-08-07 snapshots → gpt-5.6-sol / terra / luna. gpt-5.5-pro is live at $30 / $180 per 1M. research.site's earlier “o3-deep-research retires 2026-12-11” item was wrong and is withdrawn.
Changelog 2026-08-24: citations and confidence scores are now emitted per list element (separate FieldBasis entries) instead of once per field, without the beta header.
OpenAI changelog 2026-08-21: gpt-5.6-sol pricing updated to $4.00 / 1M input and $20.00 / 1M output.
Changelog 2026-08-21: Search API mode "fast" at $1 per 1,000 requests with ~700 ms average latency; Turbo mode (2026-07-13) is $1 per 1,000 with p50 250 ms; basic / advanced stay $5 per 1,000. Task API processor prices unchanged ($5 lite → $2,400 ultra8x per 1k runs).
Changelog 2026-07-21: Responses API for latency-sensitive use, 5–60 s response times, structured outputs and full citations; synchronous, alongside the async Task API.
The same GPT-6 Astra agent with Exa Search + Contents or DeepSeek Search + Fetch. Compare reviewed accuracy, completion time, and itemized costs on LiveBrowseComp and EvoBrowseComp.
One GPT-6 Astra agent, five web tool stacks. Exa and built-in web tie at 11/26 on LiveBrowseComp, with Keenable one answer behind. Explore accuracy, run duration, and every public task verdict.
Claude Code vs Codex CLI under three search backends (builtin, Exa MCP, Valyu MCP) on a frozen 30-task LiveBrowseComp subset. claude-exa wins at 60%; the search backend moves accuracy up to 33 points, the agent at most 7.
Five deep-research APIs plus a Perplexity calibration anchor on a frozen 30-task ResearcherBench subset. Coverage is a three-way race; faithfulness splits the field in two; parallel has the best overall profile.
Nine deep research APIs on a frozen 20-task subset of DeepResearch-Bench-II. Exa effort tiers against each other, then one flagship tier per provider.