Aquila Chat 2 70B Expressive vs Llama 2 70B Chat
Aquila Chat 2 70B Expressive (2023) and Llama 2 70B Chat (2023) are compact production models from Beijing Academy of Artificial Intelligence (BAAI) and AI at Meta. Aquila Chat 2 70B Expressive ships a 2k-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.
Aquila Chat 2 70B Expressive is safer overall; choose Llama 2 70B Chat when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Aquila Chat 2 70B Expressive | Llama 2 70B Chat |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | General | Classification and JSON / Tool use |
| Context window | 2k | 4k |
| Cheapest output | - | $1.50/1M tokens |
| Provider routes | 0 tracked | 14 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Aquila Chat 2 70B Expressive when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Llama 2 70B Chat 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.
Aquila Chat 2 70B Expressive
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
- No overlapping tracked provider route is sourced for Aquila Chat 2 70B Expressive and Llama 2 70B Chat; plan for SDK, billing, or endpoint changes.
- Llama 2 70B Chat adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Llama 2 70B Chat and Aquila Chat 2 70B Expressive; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-02 | 2023-07-18 |
| Context window | 2k | 4k |
| Parameters | 70B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 2 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Aquila Chat 2 70B Expressive | Llama 2 70B Chat |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $1.50/1M tokens |
| Providers | - |
Capabilities
| Capability | Aquila Chat 2 70B Expressive | 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.