ELYZA Japanese Llama 2 13B vs Together AI - Gemma 3n-e4B
ELYZA Japanese Llama 2 13B (2023) and Together AI - Gemma 3n-e4B (2026) are compact production models from ELYZA and Google DeepMind. ELYZA Japanese Llama 2 13B ships a not-yet-sourced context window, while Together AI - Gemma 3n-e4B ships a 8K-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.
Together AI - Gemma 3n-e4B is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 13B | Together AI - Gemma 3n-e4B |
|---|---|---|
| Decision fit | General | Agents, Classification, and JSON / Tool use |
| Context window | — | 8K |
| Cheapest output | - | $0.04/1M tokens |
| Provider routes | 0 tracked | 1 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.
- Together AI - Gemma 3n-e4B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Together AI - Gemma 3n-e4B has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI - Gemma 3n-e4B uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
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
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route: Together 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 Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and ELYZA Japanese Llama 2 13B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2026-03-15 |
| Context window | — | 8K |
| Parameters | 13B | 4B |
| Architecture | decoder only | decoder only |
| License | Unknown | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 13B | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | - | $0.02/1M tokens |
| Output price | - | $0.04/1M tokens |
| Providers | - |
Capabilities
| Capability | ELYZA Japanese Llama 2 13B | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Together AI - Gemma 3n-e4B, tool use: Together AI - Gemma 3n-e4B, and structured outputs: Together AI - Gemma 3n-e4B. 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 Together AI - Gemma 3n-e4B has $0.02/1M input tokens. Provider availability is 0 tracked routes versus 1. 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 Together AI - Gemma 3n-e4B when provider fit 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 Together AI - Gemma 3n-e4B open source?
ELYZA Japanese Llama 2 13B is listed under Unknown. Together AI - Gemma 3n-e4B is listed under Open Source. 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 function calling, ELYZA Japanese Llama 2 13B or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, ELYZA Japanese Llama 2 13B or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B has the clearer documented tool use signal in this comparison. If tool use 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 Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B 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.
Where can I run ELYZA Japanese Llama 2 13B and Together AI - Gemma 3n-e4B?
ELYZA Japanese Llama 2 13B is available on the tracked providers still being sourced. Together AI - Gemma 3n-e4B is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick ELYZA Japanese Llama 2 13B over Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B 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 provider fit, run the same evaluation with Together AI - Gemma 3n-e4B.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.