LLM Reference
Phind

5 models across 2 families · Latest: Phind Instant (2024-02)

Instant AI code search and answers

ClassificationJSON / Tool use

Phind's portfolio covers 5 active models across 2 non-obsolete families, with task labels spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.

Portfolio context: 2 decision-task tags, 5 active tracked models, latest research stamp 2026-05-19.

Use this portfolio page for

  • Teams evaluating classification and json / tool use across this lab's releases
  • Readers comparing families before locking a flagship SKU
  • 5 tracked SKUs for migration and pricing follow-ups

Do not stop here for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

5

Non-deprecated SKUs linked to this researcher

Active families

2

Non-obsolete families in coverage

Open catalog

5 OSS

0 open-weight (text match)

Decision task tags

2

Mapped to the site-wide task taxonomy

Latest dated release

2024-02-22

Phind Instant

Freshness

2026-05-19

Researched 16d ago

fresh

Release cadence

Showing 5 recent dated ships (full timeline below). Latest spotlight: Phind Instant (2024-02-22).

Where this lab wins

  • Classification: 1 tracked model with MMLU-class moderation/safety coverage.
  • JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.

Flagship quality / price signal

Anchor SKU: Phind CodeLlama 34B V2 (best sourced coding Q/$ in this portfolio).

Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).

Phind is an American AI research organization founded in 2022. Instant AI code search and answers. Phind ships 2 model families totaling 5 models, with the most recent release Phind Instant in 2024-02. Notable families include Phind and Phind CodeLlama. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators. View official API endpoints, benchmark performance, and coding/agent fit for every Phind model.

About

Phind, established in 2022 and based in San Francisco, has rapidly emerged as an innovative AI-powered search engine tailored for developers and technical professionals. The company's unique value proposition lies in its ability to provide precise answers to complex technical queries without requiring users to sift through time-consuming lists of links. By leveraging cutting-edge generative AI and advanced Large Language Models (LLMs), Phind synthesizes information from diverse sources to deliver concise and accurate responses, often complete with pertinent code snippets. This efficiency allows developers to dedicate more time to product development rather than exhaustive research. A standout feature of Phind is its emphasis on maintaining context throughout user interactions. Whether dealing with intricate coding problems or multifaceted technical inquiries, Phind ensures that its responses remain relevant and precise. This is accomplished through its sophisticated LLMs, which are trained on extensive datasets rich in technical information. By connecting to both the internet and potentially a user’s codebase, Phind offers highly contextualized answers tailored to specific user needs. Among its technological assets are the proprietary models Phind-34B and Phind-70B, which, in conjunction with models like GPT-4, power the search platform. Remarkably, one of Phind’s models achieved a score of 74.7 percent on OpenAI's HumanEval Benchmark, surpassing other leading coding models, including ChatGPT 4. Beyond code searches, Phind plays a vital role in developers' workflows by assisting with debugging, recommending development tools, and offering an expedited approach to information retrieval. The platform's unmatched speed, thanks to NVIDIA-powered Amazon EC2 instances and advanced technologies like NVIDIA's TensorRT-LLM, reduces the time to generate an answer by 75% and enhances answer completion speed by 8x. This technological prowess has contributed to Phind's remarkable growth, evidenced by a 5-10% weekly increase in daily user activities. With its inclusion in CB Insights' AI 100 (2024) list, supported by funding from Y Combinator and A.Capital Ventures, Phind solidifies its status as a frontrunner in the AI-driven search engine sphere.

Featured models

ModelReleasedContextInput price ($/1M)Output price ($/1M)License
Phind Instant2024-02-2232k--Open Source
Phind 70B2024-02-2232k--Open Source
Phind CodeLlama 34B V22023-08-248k$0.20$0.45Open Source

Model families

Recent releases

  1. Phind Instant- 2024-02-22
  2. Phind 70B- 2024-02-22
  3. Phind CodeLlama 34B V2- 2023-08-24
  4. Phind CodeLlama 34B V1- 2023-08-24
  5. Phind CodeLlama 34B Python V1- 2023-08-24

FAQ

Who founded Phind and when?

Phind was founded in 2022 and is associated with San Francisco, California, United States.

What models has Phind released?

Phind ships 5 models across 2 families: Phind and Phind CodeLlama.

Is Phind's technology open source?

All tracked models are released under Open Source.

Where is Phind headquartered?

Phind is headquartered in San Francisco, California, United States.

What is Phind known for?

Instant AI code search and answers. Its most prominent tracked family is Phind.

How can I access Phind's models?

Phind's models are available via DeepInfra, Fireworks AI, and Together AI.

Explore related pages

Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.