Mixedbread AI
Contact SalesUnified multimodal search API for AI agents across text, PDFs, images, video & audio.
By Tanmay Verma, Founder · Last verified 30 May 2026
5.1k views
Added 7d ago
80/100Safe BetUnified multimodal search API for AI agents across text, PDFs, images, video & audio.
By Tanmay Verma, Founder · Last verified 30 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
Buyers needing a single API for multimodal agentic retrieval should shortlist Mixedbread. Its drop-in integrations and top benchmark scores reduce engineering effort significantly.
Last verified: May 2026
Mixedbread AI is purpose-built for teams building AI agents that need to search across diverse data types without managing a complex retrieval stack. Picking this tool makes sense when you want to avoid the headache of orchestrating separate pipelines for text, images, and audio – Mixedbread handles them all with one API and sub-200ms latency. Its performance on BrowseComp-Plus and MADQA shows it can keep up with deep-research and multi-agent QA tasks while minimizing tool calls. That said, if you're only searching plain text and already have a simple vector DB setup, Mixedbread might be overkill; a lighter embedding solution could suffice. The closest alternative is perhaps Vespa or Cohere's Rerank, but Mixedbread differentiates by offering native multimodal ingestion (PDFs, tables, images, video, audio) baked into the same query flow. A real-world caveat: while the page mentions 'free to try', pricing details are absent, so you'll need to contact sales for enterprise terms. Also, custom model fine-tuning isn't discussed – you rely on their pre-trained models.
Skip Mixedbread AI if Skip Mixedbread if you need a traditional SQL database or purely keyword-based search without semantic capabilities.
Added stores.grep for exact regex matching and stores.list_chunks for metadata-filtered chunk retrieval.
Announced mxbai-rerank-v3-listwise, a listwise reranker codesigned with Wholembed v3, improving results on every benchmark.
How likely is Mixedbread AI to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Mixedbread AI provides a unified search API that lets AI agents retrieve information across text, PDFs, tables, images, video, and audio in 100+ languages. No need to manage embeddings, infrastructure, or multi-stage pipelines. The platform supports sub-200ms search latency, state-of-the-art accuracy on benchmarks like BrowseComp-Plus and MADQA, and includes its own proprietary models for retrieval and reranking. Trusted by enterprises, it offers SDKs for Python and TypeScript, MCP integration, Claude Code skills, and CLI sync for rapid onboarding. SOC2 Type II and ISO 27001 certified, with options for region deployment and on-premise hosting. Unlike fragmented search solutions, Mixedbread delivers an end-to-end, omnimodal retrieval engine with built-in listwise reranking (mxbai-rerank-v3-listwise) and a billion-scale late-interaction architecture.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Mixedbread AI actually fits — and what changes day-one when you adopt it.
You sign up, create a store, upload PDFs via CLI, and use the API to search.
Outcome: Searchable knowledge base in minutes with sub-200ms latency.
Upload product images and descriptions; use the Search API to enable semantic queries across languages.
Outcome: Customers can find products by describing them in natural language.
The free tier is limited to 1000 store files and 100 requests per minute. Advanced features like agentic search, high-quality indexing, and priority support are gated behind the Scale ($20/month) or Enterprise tiers. On-premise deployment is available but requires an Enterprise contract. The platform is API-first, so non-developers may find the lack of a visual search UI limiting.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Mixedbread AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$0/mo
Ideal for
Developers exploring Mixedbread with no upfront cost; small test projects.
What this tier adds
Free entry point with $5 one-time credits, 3 workspace users, 10 stores, and community support.
Scale
$20/mo
Ideal for
Growing teams needing higher store and request limits with priority support.
What this tier adds
$20/month includes 20 monthly credits, unlimited users, 10,000 stores, automatic backups, and same-day SLA.
Enterprise
Custom
Ideal for
Large organizations requiring custom rate limits, dedicated support, and on-premise deployments.
What this tier adds
Custom pricing with volume discounts, unlimited stores/users, point-in-time recovery, and BYOC option.
The company stage and team size where Mixedbread AI's pricing actually pencils out — and where peers do it cheaper.
Mixedbread's pricing is competitive for AI-native search: a free Starter tier lets you test, while $20/month Scale tier suits growing teams needing higher limits. Usage-based rates for indexing, search, and storage are transparent. Enterprise offers custom deals including BYOC. Compared to alternatives like Pinecone (starts at $70/month) or Algolia (usage-based with higher entry), Mixedbread is cheaper for small-to-medium workloads but can scale up with volume.
How long it actually takes to get something useful out of Mixedbread AI — broken out by persona, not the marketing-page minute.
Solo developer: sign up, create a store, upload via CLI or SDK, and start searching in under 10 minutes. Startup team: integrate API into app within a day using cookbooks and agent skills. Enterprise: on-premise deployment can take a week depending on infrastructure.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Used Mixedbread AI? Help shape our editorial sentiment research.
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Built for the AI community.
Improved agentic search observability, allowing users to inspect agent runs from the dashboard.
Last calculated: May 2026
Startup Accelerator
Up to $250 free credits
Ideal for
Early-stage startups (raised up to $20M) building AI-native search products.
What this tier adds
Up to $250 in one-time free credits; additional credits case-by-case.
Durable execution platform for crash-safe AI agents and workflows.
