ELYZA Japanese Llama 2 7B vs Llama Guard 3 1B
ELYZA Japanese Llama 2 7B (2023) and Llama Guard 3 1B (2024) are compact production models from ELYZA and AI at Meta. ELYZA Japanese Llama 2 7B ships a not-yet-sourced context window, while Llama Guard 3 1B ships a 128k-token context window. On pricing, Llama Guard 3 1B costs $0.10/1M input tokens versus $0.20/1M for the alternative. 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 ~100% cheaper at $0.10/1M; pay for ELYZA Japanese Llama 2 7B only for provider fit.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 7B | Llama Guard 3 1B |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | General | Long context and Classification |
| Context window | — | 128k |
| Cheapest output | $0.20/1M tokens | $0.10/1M tokens |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ELYZA Japanese Llama 2 7B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama Guard 3 1B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama Guard 3 1B has the lower cheapest tracked output price at $0.10/1M tokens.
- 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 7B
$210
Cheapest tracked route/tier: Fireworks AI
Llama Guard 3 1B
$105
Cheapest tracked route/tier: Fireworks AI
Estimated monthly gap: $105. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama Guard 3 1B is $0.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- ELYZA Japanese Llama 2 7B is $0.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2024-09-25 |
| Context window | — | 128k |
| Parameters | 7B | 1B |
| Architecture | decoder only | 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 | - | 2023-12 |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 7B | Llama Guard 3 1B |
|---|---|---|
| Input price | $0.20/1M tokens | $0.10/1M tokens |
| Output price | $0.20/1M tokens | $0.10/1M tokens |
| Providers |
Capabilities
| Capability | ELYZA Japanese Llama 2 7B | Llama Guard 3 1B |
|---|---|---|
| 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.
For cost, ELYZA Japanese Llama 2 7B lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Llama Guard 3 1B lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama Guard 3 1B lower by about $0.10 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose ELYZA Japanese Llama 2 7B when provider fit and broader provider choice are central to the workload. Choose Llama Guard 3 1B when provider fit and lower input-token cost 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
Which is cheaper, ELYZA Japanese Llama 2 7B or Llama Guard 3 1B?
Llama Guard 3 1B is cheaper on tracked token pricing. ELYZA Japanese Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Llama Guard 3 1B costs $0.10/1M input and $0.10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is ELYZA Japanese Llama 2 7B or Llama Guard 3 1B open source?
ELYZA Japanese Llama 2 7B is listed under Llama 2 Community. Llama Guard 3 1B 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 Llama Guard 3 1B?
ELYZA Japanese Llama 2 7B is available on Fireworks AI and IBM watsonx. Llama Guard 3 1B is available on Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick ELYZA Japanese Llama 2 7B over Llama Guard 3 1B?
Llama Guard 3 1B is ~100% cheaper at $0.10/1M; pay for ELYZA Japanese Llama 2 7B only for provider fit. 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 Llama Guard 3 1B.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.