LLaMA 7B
llama-7b
Last refreshed 2026-04-18. Next refresh: weekly.
LLaMA 7B is worth evaluating for general LLM work when its provider route and context window match the workload.
Decision context: Coding task fit, 1 tracked provider route, and research from 2026-01-01.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2K context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
Replicate API per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Replicate API | - | - | ServerlessPartial |
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.
About
Meta's original LLaMA (Large Language Model Meta AI) 7B parameter model. Released February 2023, it demonstrated that smaller models trained on more data could match larger models. Foundation for the LLaMA family of open models.
LLaMA 7B has a 2K-token context window.
Capabilities
No model capability flags are currently sourced.
Benchmark Scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| GAOKAO | 21.1 | zero-shot, objective-accuracy | https://github.com/OpenLMLab/GAOKAO-Bench |
