Phind
5 models across 2 families · Latest: Phind Instant (2024-02)
Instant AI code search and answers
Phind's portfolio covers 5 active models across 2 current families, spanning classification and json / tool use. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 2 workload areas across 5 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating classification and json / tool use across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 5 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
5
Current models from this lab, excluding deprecated ones
Active families
2
Current model families from this lab
Open catalog
3 open
0 open source / 3 open weights
Lowest output price
$0.450 /1M
Cheapest tracked output across active models, per 1M tokens
Latest dated release
2024-02-22
Phind Instant
Freshness
2026-05-19
Researched 106d ago
Information
Release cadence
- Dated releases
- 5
- Latest model
- Phind Instant
- Latest date
- 2024-02-22
Where this lab wins
- Classification: 1 tracked model with MMLU-class moderation/safety coverage.
- JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.
Flagship quality / price signal
- Flagship
- Phind CodeLlama 34B V2
- Selection source
- Best sourced coding Q/$
- Coding grade
- unknown
- Benchmark / output price
- Not enough sourced benchmark and price coverage
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.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License | Openness |
|---|---|---|---|---|---|---|
| Phind Instant | 2024-02-22 | 32k | - | - | Proprietary | Proprietary |
| Phind 70B | 2024-02-22 | 32k | - | - | Proprietary | Proprietary |
| Phind CodeLlama 34B V2 | 2023-08-24 | 8k | $0.20 | $0.45 | Llama 2 Community | Open weights |
Model families
Recent releases
- Phind Instant- 2024-02-22
- Phind 70B- 2024-02-22
- Phind CodeLlama 34B V2- 2023-08-24
- Phind CodeLlama 34B V1- 2023-08-24
- Phind CodeLlama 34B Python V1- 2023-08-24
Explore related pages
Last reviewed: 2026-05-19. Data sourced from public lab announcements and provider documentation.