Aquila 2 7B vs ELYZA Japanese Llama 2 13B
Aquila 2 7B (2023) and ELYZA Japanese Llama 2 13B (2023) are compact production models from Beijing Academy of Artificial Intelligence (BAAI) and ELYZA. Aquila 2 7B ships a 2k-token context window, while ELYZA Japanese Llama 2 13B ships a not-yet-sourced 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 2 7B is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Aquila 2 7B | ELYZA Japanese Llama 2 13B |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | General |
| Context window | 2k | — |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Aquila 2 7B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Use ELYZA Japanese Llama 2 13B 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.
Aquila 2 7B
Unavailable
No complete token price in local provider data
ELYZA Japanese Llama 2 13B
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 ELYZA Japanese Llama 2 13B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for ELYZA Japanese Llama 2 13B and Aquila 2 7B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-02 | 2023-08-02 |
| Context window | 2k | — |
| Parameters | 7B | 13B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Llama 2 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 | ELYZA Japanese Llama 2 13B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Aquila 2 7B | ELYZA Japanese Llama 2 13B |
|---|---|---|
| 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
- Aquila 2 7B vs ELYZA Japanese Llama 2 7B
- Aquila 2 34B vs ELYZA Japanese Llama 2 13B
- ELYZA Japanese Llama 2 13B vs Llama 3.1 Swallow 8B Instruct
- ELYZA Japanese Llama 2 13B vs Llama 3 Swallow 70B Instruct
- ELYZA Japanese Llama 2 13B vs Stockmark 2 100B Instruct
- ELYZA Japanese Llama 2 13B vs GPT-4
- Dracarys Llama 3.1 70B Instruct vs ELYZA Japanese Llama 2 13B
- Aquila 2 7B vs Bielik 11B v2.6 Instruct
- ELYZA Japanese Llama 2 13B vs Swallow 30B
Popular comparisons for Aquila 2 7B
Popular comparisons for ELYZA Japanese Llama 2 13B
- ELYZA Japanese Llama 2 13B vs Llama 3.1 Swallow 8B Instruct
- ELYZA Japanese Llama 2 13B vs Llama 3 Swallow 70B Instruct
- ELYZA Japanese Llama 2 13B vs Stockmark 2 100B Instruct
- ELYZA Japanese Llama 2 13B vs GPT-4
- ELYZA Japanese Llama 2 13B vs Dracarys Llama 3.1 70B Instruct
- ELYZA Japanese Llama 2 13B vs Mistral 7B v0.1
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.