ELYZA Japanese Llama 2 13B vs GPT-4 Turbo Preview
ELYZA Japanese Llama 2 13B (2023) and GPT-4 Turbo Preview (2023) are compact production models from ELYZA and OpenAI. ELYZA Japanese Llama 2 13B ships a not-yet-sourced context window, while GPT-4 Turbo Preview 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.
GPT-4 Turbo Preview is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 13B | GPT-4 Turbo Preview |
|---|---|---|
| Best for | general production evaluation | multimodal apps and provider-routed production |
| Decision fit | General | Coding, RAG, and Agents |
| Context window | — | 128k |
| Cheapest output | - | $30/1M tokens |
| Provider routes | 0 tracked | 3 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.
- GPT-4 Turbo Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4 Turbo Preview has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 Turbo Preview uniquely exposes Vision, Structured outputs, and Code execution in local model data.
- Local decision data tags GPT-4 Turbo Preview for Coding, RAG, and Agents.
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
GPT-4 Turbo Preview
$15,500
Cheapest tracked route/tier: OpenAI API
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 GPT-4 Turbo Preview; plan for SDK, billing, or endpoint changes.
- GPT-4 Turbo Preview adds Vision, Structured outputs, and Code execution in local capability data.
- No overlapping tracked provider route is sourced for GPT-4 Turbo Preview and ELYZA Japanese Llama 2 13B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Structured outputs, and Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2023-11-06 |
| Context window | — | 128k |
| Parameters | 13B | 1.76T (8x222B MoE)* |
| Architecture | Decoder Only | Mixture of Experts |
| License | Llama 2 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Unknown | Not released |
| 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 | GPT-4 Turbo Preview |
|---|---|---|
| Input price | - | $10/1M tokens |
| Output price | - | $30/1M tokens |
| Providers | - |
Capabilities
| Capability | ELYZA Japanese Llama 2 13B | GPT-4 Turbo Preview |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | Yes |
| 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: 2026-06-15. Data sourced from public model cards and provider documentation.