Llama 3 Swallow 70B Instruct
llama-3-swallow-70b-instruct
Last refreshed 2026-05-01. Next refresh: weekly.
Llama 3 Swallow 70B Instruct 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 4K 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
-
NVIDIA NIM 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 |
|---|---|---|---|
| NVIDIA NIM | - | - | 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
Japanese bilingual model from Tokyo Tech, fine-tuned from Llama 3 70B.
Llama 3 Swallow 70B Instruct has a 4K-token context window.
Capabilities
No model capability flags are currently sourced.
