Llama 3 Taiwan 70B Instruct vs Llama 2 70B Chat
Llama 3 Taiwan 70B Instruct (2024) and Llama 2 70B Chat (2023) are compact production models from AI at Meta. Llama 3 Taiwan 70B Instruct ships a 8k-token context window, while Llama 2 70B Chat 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 Taiwan 70B Instruct is safer overall; choose Llama 2 70B Chat when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 3 Taiwan 70B Instruct | Llama 2 70B Chat |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | General | Classification and JSON / Tool use |
| Context window | 8k | 4k |
| Cheapest output | - | $1.50/1M tokens |
| Provider routes | 1 tracked | 14 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.
- Llama 2 70B Chat has broader tracked provider coverage for fallback and route flexibility.
- Llama 2 70B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
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 2 70B Chat
$775
Cheapest tracked route/tier: Databricks Foundation Model Serving
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.
- Llama 2 70B Chat adds Structured outputs in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-01 | 2023-07-18 |
| Context window | 8k | 4k |
| Parameters | 70B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Llama 2 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Llama 3 Taiwan 70B Instruct | Llama 2 70B Chat |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3 Taiwan 70B Instruct | Llama 2 70B Chat |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | Yes |
| 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.
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.