Phind CodeLlama 34B V1
Released
2023-08-24
Last refreshed
2026-05-19
Status
Researched 105d ago
Open weightsCommercial use: conditional
Phind CodeLlama 34B V1 is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 8k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Specifications
- Family
- Phind CodeLlama
- Released
- 2023-08-24
- Context
- 8k
- Parameters
- 34B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2024-03
- Specialization
- general
- Openness
- Open weights
- License
- Llama 2 CommunityCommercial use: conditional
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Created by
Pricing
Output / 1M
$0.900
Input / 1M
$0.900
Cheapest of 1 route · Fireworks AI
About
Phind CodeLlama 34B V1 is Phind's Phind CodeLlama model. It offers an 8K-token context window with weights openly available for self-hosting.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.900 | $0.900 | Provisioned |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Created by
Pricing
Output / 1M
$0.900
Input / 1M
$0.900
Cheapest of 1 route · Fireworks AI