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, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
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 |
|---|---|---|
| Decision fit | General | Coding, RAG, and Agents |
| Context window | — | 128K |
| Cheapest output | - | $30/1M tokens |
| Provider routes | 0 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
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 procurement 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 prices 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: 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 | Unknown | Proprietary |
| 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 |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | Yes |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4 Turbo Preview, structured outputs: GPT-4 Turbo Preview, and code execution: GPT-4 Turbo Preview. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: ELYZA Japanese Llama 2 13B has no token price sourced yet and GPT-4 Turbo Preview has $10/1M input tokens. Provider availability is 0 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose ELYZA Japanese Llama 2 13B when provider fit are central to the workload. Choose GPT-4 Turbo Preview when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Is ELYZA Japanese Llama 2 13B or GPT-4 Turbo Preview open source?
ELYZA Japanese Llama 2 13B is listed under Unknown. GPT-4 Turbo Preview is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, ELYZA Japanese Llama 2 13B or GPT-4 Turbo Preview?
GPT-4 Turbo Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, ELYZA Japanese Llama 2 13B or GPT-4 Turbo Preview?
GPT-4 Turbo Preview has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for code execution, ELYZA Japanese Llama 2 13B or GPT-4 Turbo Preview?
GPT-4 Turbo Preview has the clearer documented code execution signal in this comparison. If code execution is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run ELYZA Japanese Llama 2 13B and GPT-4 Turbo Preview?
ELYZA Japanese Llama 2 13B is available on the tracked providers still being sourced. GPT-4 Turbo Preview is available on OpenAI API, Azure OpenAI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick ELYZA Japanese Llama 2 13B over GPT-4 Turbo Preview?
GPT-4 Turbo Preview is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters. If your workload also depends on provider fit, start with ELYZA Japanese Llama 2 13B; if it depends on coding workflow support, run the same evaluation with GPT-4 Turbo Preview.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.