ELYZA Japanese Llama 2 13B vs Llama Guard 3 1B
ELYZA Japanese Llama 2 13B (2023) and Llama Guard 3 1B (2024) are compact production models from ELYZA and AI at Meta. ELYZA Japanese Llama 2 13B ships a not-yet-sourced context window, while Llama Guard 3 1B ships a 128k-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 Guard 3 1B is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 13B | Llama Guard 3 1B |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | Long context and Classification |
| Context window | — | 128k |
| Cheapest output | - | $0.10/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- 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.
- Llama Guard 3 1B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama Guard 3 1B has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama Guard 3 1B for Long context and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
ELYZA Japanese Llama 2 13B
Unavailable
No complete token price in local provider data
Llama Guard 3 1B
$105
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 ELYZA Japanese Llama 2 13B and Llama Guard 3 1B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Llama Guard 3 1B and ELYZA Japanese Llama 2 13B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2024-09-25 |
| Context window | — | 128k |
| Parameters | 13B | 1B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Llama 2 Community |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 13B | Llama Guard 3 1B |
|---|---|---|
| Input price | - | $0.10/1M tokens |
| Output price | - | $0.10/1M tokens |
| Providers | - |
Capabilities
| Capability | ELYZA Japanese Llama 2 13B | Llama Guard 3 1B |
|---|---|---|
| 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
- ELYZA Japanese Llama 2 13B vs Llama Guard 4 12B
- ELYZA Japanese Llama 2 13B vs Qwen2-7B-Instruct
- 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
- Hunyuan Hy3 Preview vs Llama Guard 3 1B
- Dracarys Llama 3.1 70B Instruct vs ELYZA Japanese Llama 2 13B
- Together AI - Llama 3 8B Lite vs Llama Guard 3 1B
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
Popular comparisons for Llama Guard 3 1B
Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.