Liner vs Surge AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionLinerSurge AI
Target UserStudents, researchers, professionals seeking cited answersFrontier AI labs, AI safety teams, enterprise AI builders
WorkforceAI models (GPT-5, Gemini, Claude)Human domain experts (writers, doctors, lawyers, engineers)
Key FeaturesCited search, Deep Research, Liner Scholar, multi-model accessRLHF data collection, red teaming, custom labeling, proprietary benchmarks (Antidote, Riemann-bench, GDP.pdf)
IntegrationsChrome extensionPython SDK, REST API
Latest NewsBlog posts on linear-related topics (not product updates)Microsoft used Surge evaluations; new benchmarks (ComplexConstraints, EnterpriseBench, Riemann-bench, GDP.pdf, Antidote)

If you need accurate, cited answers for research or daily queries, Liner is your tool with its credit-based freemium model. If you're a frontier AI lab training or evaluating advanced models with expert human feedback, Surge AI is purpose-built with domain experts and rigorous benchmarks. Choose Liner for consumption of verified information; choose Surge for production of high-quality AI alignment data.

Liner
Liner

AI search engine that answers with cited sources across ChatGPT, Gemini, and Claude.

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Surge AI
Surge AI

Surge AI supplies expert human RLHF data, red teaming, and public benchmarks like GDP.pdf and the Tuesday Work Index for frontier model

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Pricing
Freemium
Contact Sales
Plans
$0.00
$14.99/mo billed annually (list $17.99)
$29.99/mo billed annually (list $35.99)
$26.99/mo per seat (2–20 members)
Custom
—
Popularity
8 views
7.4k views
Skill Level
Beginner-friendly
Advanced
API Available
Platforms
WebMobilePlugin
Web
Categories
🤖 AI Assistants🔬 Research & Education✍️ Writing & Content
🏷️ Data Labeling & Training Data
Features
Advanced Search with cited sources
Line-by-Line Citation showing answer provenance
Multi-model access: ChatGPT, Gemini, and Claude
Deep Research report generation (40 credits/request)
Image generation (20 credits/request)
Premium external models (30 credits/request)
File upload and PDF analysis: 25MB × 1/day on Free, 100MB × 5/question up to 20 times a day on Pro, 200MB × 20/question
Liner Scholar: Literature Review (40 credits)
Liner Scholar: Citation Recommender (50 credits)
Liner Scholar: Hypothesis Generator and Peer Review (60 credits)
Liner Scholar: Survey Simulator (80 credits)
Liner Scholar: Hypothesis Evaluator, Survey Generator, Research Tracer (30 credits)
Research Assistant, 10 requests/day on Free and unlimited on paid plans
Highlighting tool for marking up answers and sources
Browser extension for Chrome and Edge
Expert human workforce of doctors, lawyers, engineers, and writers for frontier AI data
RLHF preference data collection and human feedback for model fine-tuning and post-training
Red teaming and adversarial testing staffed with credentialed domain specialists
Off-the-shelf post-training runs built on expert evaluation data
SWE consultant network for software engineering and technical tasks
Agentic coding task sets: 1,700 tasks gave Kimi K2.7 +20.0pp on SWE-Marathon and +12.4pp on DeepSWE
GDP.xlsx benchmark for professional spreadsheet comprehension, spanning 70 tasks across 12 knowledge-work domains
sudo L7 benchmark for staff-level engineering judgment in coding agents
GDP.pdf benchmark for real-world professional document comprehension, cited in the GPT-5.6 release
Chartography benchmark for chart reasoning: Kaplan-Meier curves, candlesticks, contour maps, Bode plots
ComplexConstraints benchmark for instruction following with mutually dependent constraints
HANDBOOK.md benchmark for long-context policy adherence against expert handbooks
DAYJOB vertical benchmark suites for economically valuable agents in Healthcare and Finance
Tuesday Work Index composite benchmark scoring frontier models on real professional work
RL environments including CoreCraft and EnterpriseBench with Python SDK and REST API access

What real users say: Liner vs Surge AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Liner

63 mentions across 4 sources · 11% positive — critical (averaged across 4 sources)

Reddit, Hacker News, App Store, Lemmy

What users praise

  • • Provides more detailed output than Perplexity, according to users.
  • • Multi-model access (GPT-5, Gemini, Claude) in one interface.
  • • Good for general coding and daily AI queries.
  • • Research-focused with cited sources in answers.

What frustrates them

  • • Subscription scams: charges without granting access, no refunds.
  • • Academic citations are sometimes invented or inaccurate.
  • • Customer support unresponsive to billing complaints.
  • • Credit system limits free users heavily (100 credits/month).

Researched Jul 3, 2026

Surge AI

48 mentions across 3 sources · 38% positive — critical (weighted across 3 sources)

Hacker News, YouTube, Lemmy

What users praise

  • • Credentialed workforce of doctors, lawyers and engineers instead of generic crowd annotators
  • • GDP.pdf cited by OpenAI in the GPT-5.6 release with a concrete 30.7% flagship score
  • • Kimi K2.7 post-training run published measurable SWE-Marathon, DeepSWE and Terminal-Bench gains
  • • Benchmark catalog spans chart reasoning, dependent constraints, long-context policy and verticals

What frustrates them

  • • Contact-only pricing means no public rate card, no tiers, and no way to self-serve
  • • Benchmark sponsorship and independence questions raised directly in HN threads
  • • Expert-credential verification process is never explained in any community source
  • • No community data on support responsiveness, uptime, or SLAs at enterprise scale

Researched Oct 7, 2026

Who should pick which

  • Student writing a research paper
    Pick: Liner

    Liner Scholar provides cited sources and academic tools like literature review and hypothesis evaluation, ideal for academic work.

  • AI safety researcher red teaming LLMs
    Pick: Surge AI

    Surge AI offers domain experts (e.g., doctors, lawyers) and proprietary benchmarks (e.g., Antidote, Riemann-bench) for rigorous red teaming.

  • Professional needing fact-checked answers quickly
    Pick: Liner

    Liner provides cited answers from multiple models, including GPT-5, Gemini, and Claude, with credits for on-demand deep research.

  • AI startup training a reasoning model
    Pick: Surge AI

    Surge's expert workforce and RL environments (EnterpriseBench, ComplexConstraints) are designed for complex fine-tuning and evaluation.

Frequently Asked Questions

Liner vs Surge AI: which should you choose?

If you need accurate, cited answers for research or daily queries, Liner is your tool with its credit-based freemium model. If you're a frontier AI lab training or evaluating advanced models with expert human feedback, Surge AI is purpose-built with domain experts and rigorous benchmarks. Choose Liner for consumption of verified information; choose Surge for production of high-quality AI alignment data.

Can Liner help me with academic research?

Yes, Liner Scholar offers literature review, hypothesis evaluation, and other tools tailored for academic research.

Does Surge AI provide automated evaluations?

No, Surge AI uses human domain experts for evaluations, not automated systems.

How many credits do I get with Liner free plan?

Free users get 100 Agent credits per month.

What kind of experts does Surge AI employ?

Writers, doctors, lawyers, senior engineers, and other domain experts.

Can I try Surge AI before buying?

Surge AI requires contacting sales; no self-serve trial is mentioned.

Does Liner support file uploads?

Yes, Liner supports uploading PDFs and research papers for analysis.

What is Antidote?

Antidote is Surge AI's leaderboard graded by expert doctors, lawyers, and senior engineers, introduced in June 2026.

Which tool is better for budget-constrained users?

Liner offers a free tier and affordable paid plans, while Surge AI requires custom pricing for expert labor.

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Last reviewed: July 3, 2026