Phind CodeLlama Models by Phind
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
About
Code Llama, a family of large language models developed by Meta AI, specializes in code generation and various coding-related tasks, building upon the Llama 2 architecture. Available in sizes ranging from 7B to 70B parameters, these models are designed to accommodate different computational needs. Code Llama is trained on an extensive dataset of code and related texts, enabling it to proficiently generate code in multiple programming languages, explain code snippets, assist with code completion and debugging, and even translate between languages. Meta AI also provides specialized models fine-tuned for tasks like Python programming and instruction following. Released under a permissive license, Code Llama supports both research and commercial applications. Benchmark tests have shown that its performance can match or even surpass other publicly available LLMs.
Decision facts
- Best fit
- codingstructured outputs
- Capability starting point
- Phind CodeLlama 34B V2 with 8k context and structured outputs
- Lowest tracked input
- Phind CodeLlama 34B V2 · $0.2/1M · DeepInfra
- Closest related family
- SWE-1
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 8k context, 34B parameters, and structured outputs.
Use when the workload needs 8k context and 34B parameters.
Use when the workload needs 8k context and 34B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Phind CodeLlama 34B V2 | Use when the workload needs 8k context, 34B parameters, and structured outputs. | 2023-08 | 8k context34B parametersstructured outputs | Current |
| Phind CodeLlama 34B V1 | Use when the workload needs 8k context and 34B parameters. | 2023-08 | 8k context34B parameters | Current |
| Phind CodeLlama 34B Python V1 | Use when the workload needs 8k context and 34B parameters. | 2023-08 | 8k context34B parameters | Current |
Release Timeline
1 release groupSpecifications(3 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| Phind CodeLlama 34B V2 | 2023-08 | 8k | 34B | Yes |
| Phind CodeLlama 34B V1 | 2023-08 | 8k | 34B | No |
| Phind CodeLlama 34B Python V1 | 2023-08 | 8k | 34B | No |
Available From(3 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Phind CodeLlama 34B V2 | DeepInfra | $0.2 | $0.45 | Serverless |
| Phind CodeLlama 34B V2 | Together AI | $0.8 | $0.8 | Serverless |
| Phind CodeLlama 34B V2 | Fireworks AI | $0.9 | $0.9 | Provisioned |
| Phind CodeLlama 34B V1 | Fireworks AI | $0.9 | $0.9 | Provisioned |
| Phind CodeLlama 34B Python V1 | Fireworks AI | $0.9 | $0.9 | Provisioned |
