Llama 3 Taiwan 70B Instruct vs Llama 3.1 Swallow 8B Instruct
Llama 3 Taiwan 70B Instruct (2024) and Llama 3.1 Swallow 8B Instruct (2025) are compact production models from AI at Meta and Tokyo Institute of Technology. Llama 3 Taiwan 70B Instruct ships a 8k-token context window, while Llama 3.1 Swallow 8B Instruct ships a 4k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3.1 Swallow 8B Instruct is safer overall; choose Llama 3 Taiwan 70B Instruct when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Llama 3 Taiwan 70B Instruct | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | General |
| Context window | 8k | 4k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 3 Taiwan 70B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Use Llama 3.1 Swallow 8B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3 Taiwan 70B Instruct
Unavailable
No complete token price in local provider data
Llama 3.1 Swallow 8B Instruct
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-01 | 2025-01-01 |
| Context window | 8k | 4k |
| Parameters | 70B | 8B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Llama 2 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2023-12 | 2023 |
Pricing and availability
| Pricing attribute | Llama 3 Taiwan 70B Instruct | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3 Taiwan 70B Instruct | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.