Aquila 2 7B vs Dracarys Llama 3.1 70B Instruct
Aquila 2 7B (2023) and Dracarys Llama 3.1 70B Instruct (2024) are compact production models from Beijing Academy of Artificial Intelligence (BAAI) and Abacus.AI. Aquila 2 7B ships a 2k-token context window, while Dracarys Llama 3.1 70B Instruct ships a 8k-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.
Dracarys Llama 3.1 70B Instruct fits 4x more tokens; pick it for long-context work and Aquila 2 7B for tighter calls.
Decision scorecard
Local evidence first| Signal | Aquila 2 7B | Dracarys Llama 3.1 70B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | General |
| Context window | 2k | 8k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Aquila 2 7B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Dracarys Llama 3.1 70B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Dracarys Llama 3.1 70B Instruct has broader tracked provider coverage for fallback and route flexibility.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Aquila 2 7B
Unavailable
No complete token price in local provider data
Dracarys Llama 3.1 70B 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
- No overlapping tracked provider route is sourced for Aquila 2 7B and Dracarys Llama 3.1 70B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Dracarys Llama 3.1 70B Instruct and Aquila 2 7B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-02 | 2024-09-01 |
| Context window | 2k | 8k |
| Parameters | 7B | 70B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Aquila 2 7B | Dracarys Llama 3.1 70B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Aquila 2 7B | Dracarys Llama 3.1 70B 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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Popular comparisons for Aquila 2 7B
Popular comparisons for Dracarys Llama 3.1 70B Instruct
- Dracarys Llama 3.1 70B Instruct vs Hunyuan Hy3 Preview
- Dracarys Llama 3.1 70B Instruct vs Mistral 7B v0.1
- Dracarys Llama 3.1 70B Instruct vs Codex 1
- Dracarys Llama 3.1 70B Instruct vs ELYZA Japanese Llama 2 13B
- Dracarys Llama 3.1 70B Instruct vs Together AI Qwen2-7B-Instruct
- Dracarys Llama 3.1 70B Instruct vs Qwen2-7B-Instruct
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.