Agentic Index

Exa vs Jina AI (2026)

Exa last verified ·Jina AI last verified

Two ways to give an agent the web, priced for developers. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Exa is a neural search API that retrieves by meaning and returns token efficient contents ready for a model, pay as you go, with $10 of free credit every month plus $10 to start, and search from $4 per 1,000 requests on Lite and $7 on Auto. Jina is a broader search foundation platform with a Reader, web search, embeddings and a reranker, on a token top up model with a generous free trial. Choose Exa if search quality is the whole job. Choose Jina if you also need the embedding and reranking pieces from the same vendor.

On the Agentic Index agent infrastructure ranking, neither Exa nor Jina AI clears the bar, which asks for all five production contract capabilities documented in full. Each documents two of the five in full. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Exa and Jina AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Exa if

  • Retrieval by meaning is the capability, and you want it as one clean API call.
  • Token efficient page contents matter because context window cost is a real line item.
  • Per request pricing is easier to reason about than token top ups.

Choose Jina AI if

  • You need more than search, and embeddings and reranking from one vendor reduce your stack.
  • The Reader turning arbitrary pages into clean text is the piece you actually want.
  • You need models you can run air gapped in your own infrastructure, or requests processed inside the EU.
Feature
E
Exa
J
Jina AI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
E
Exa
J
Jina AI

Entry price

Lowest public entry point

Usage based · $10 free credit/mo plus $10 at sign up · Lite search $4/1k requests Free API key tokens · pay-as-you-go token top-ups · premium keys for higher limits · AWS and Azure deployment

Pricing confidence

How public the numbers are

Public, exact Public, partial

Billing

Primary billing axis

Per 1,000 requests by endpoint and search type, plus per 1,000 pages for contents and summaries; Agent runs per run by effort or per Agent Compute Unit tokens processed

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
Free tierTrial

Buying motion

Self-serve vs sales call

Self-serve Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Exa

  • · Agent capability

    Podcasts are now part of the Exa index: 3.2 million episodes from 119,000 shows, each with a full transcript, across all endpoints.

    Source
  • · MCP / tool calling / API

    Exa 3.0 brings a larger embedding model, makes Dynamic Highlights generally available at no extra charge, and adds 1.27 billion ecommerce listings, more than 211 million local businesses, real time news, sports, weather and market data, and flights, events, transit and podcasts to its index.

    Source
  • · Agent capability

    Exa launched Agent Ultra, its highest effort mode for exhaustive research and building large lists of entities.

    Source

Jina AI

  • · Agent capability

    Jina AI released jina-ocr-v1, a 3.4 billion parameter vision language model that converts document pages to Markdown in a single pass and is built to run on low budget GPUs.

    Source
  • · Agent capability

    Jina AI released jina-reranker-v3.5, a 0.6-billion parameter listwise reranker featuring hybrid attention and self-distillation.

    Source
  • · Deployment / data residency

    Jina AI introduced Jina On-Prem, a fully self-contained installation suite that packages all 28 of its embedding and reranking models into ready-to-deploy Docker containers.

    Source

Jina AI was acquired by Elastic in October 2025 and continues to sell its models and APIs under its own brand.

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