Aquila 2 7B vs ELYZA Japanese Llama 2 7B
Aquila 2 7B (2023) and ELYZA Japanese Llama 2 7B (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 7B 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 7B when provider fit matters.
Decision scorecard
Local evidence first| Signal | Aquila 2 7B | ELYZA Japanese Llama 2 7B |
|---|---|---|
| Best for | general production evaluation | provider-routed production |
| Decision fit | General | General |
| Context window | 2k | — |
| Cheapest output | - | $0.20/1M tokens |
| Provider routes | 0 tracked | 2 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.
- ELYZA Japanese Llama 2 7B 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
ELYZA Japanese Llama 2 7B
$210
Cheapest tracked route/tier: Fireworks AI
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 7B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for ELYZA Japanese Llama 2 7B 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 | 7B |
| 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 7B |
|---|---|---|
| Input price | - | $0.20/1M tokens |
| Output price | - | $0.20/1M tokens |
| Providers | - |
Capabilities
| Capability | Aquila 2 7B | ELYZA Japanese Llama 2 7B |
|---|---|---|
| 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: 2026-05-19. Data sourced from public model cards and provider documentation.