ELYZA Japanese Llama 2 7B vs Swallow 30B
ELYZA Japanese Llama 2 7B (2023) and Swallow 30B (2025) are compact production models from ELYZA and Tokyo Institute of Technology. ELYZA Japanese Llama 2 7B ships a not-yet-sourced context window, while Swallow 30B ships a 16k-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.
Swallow 30B is safer overall; choose ELYZA Japanese Llama 2 7B when provider fit matters.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 7B | Swallow 30B |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | General | General |
| Context window | — | 16k |
| Cheapest output | $0.20/1M tokens | - |
| Provider routes | 2 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ELYZA Japanese Llama 2 7B has broader tracked provider coverage for fallback and procurement flexibility.
- Swallow 30B has the larger context window for long prompts, retrieval packs, or transcript analysis.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
ELYZA Japanese Llama 2 7B
$210
Cheapest tracked route/tier: Fireworks AI
Swallow 30B
Unavailable
No complete token price in local provider data
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 7B and Swallow 30B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Swallow 30B and ELYZA Japanese Llama 2 7B; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2025-02-14 |
| Context window | — | 16k |
| Parameters | 7B | 30B |
| Architecture | decoder only | - |
| License | Llama 2 Community | Llama 2 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2023 |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 7B | Swallow 30B |
|---|---|---|
| Input price | $0.20/1M tokens | - |
| Output price | $0.20/1M tokens | - |
| Providers | - |
Capabilities
| Capability | ELYZA Japanese Llama 2 7B | Swallow 30B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: ELYZA Japanese Llama 2 7B has $0.20/1M input tokens and Swallow 30B has no token price sourced yet. Provider availability is 2 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose ELYZA Japanese Llama 2 7B when provider fit and broader provider choice are central to the workload. Choose Swallow 30B when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is ELYZA Japanese Llama 2 7B or Swallow 30B open source?
ELYZA Japanese Llama 2 7B is listed under Llama 2 Community. Swallow 30B is listed under Llama 2 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run ELYZA Japanese Llama 2 7B and Swallow 30B?
ELYZA Japanese Llama 2 7B is available on Fireworks AI and IBM watsonx. Swallow 30B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick ELYZA Japanese Llama 2 7B over Swallow 30B?
Swallow 30B is safer overall; choose ELYZA Japanese Llama 2 7B when provider fit matters. If your workload also depends on provider fit, start with ELYZA Japanese Llama 2 7B; if it depends on provider fit, run the same evaluation with Swallow 30B.
What is the main difference between ELYZA Japanese Llama 2 7B and Swallow 30B?
ELYZA Japanese Llama 2 7B and Swallow 30B differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.