ELYZA Japanese Llama 2 7B vs Granite 3.3 8B Instruct
ELYZA Japanese Llama 2 7B (2023) and Granite 3.3 8B Instruct (2025) are compact production models from ELYZA and IBM Research. ELYZA Japanese Llama 2 7B ships a not-yet-sourced context window, while Granite 3.3 8B Instruct ships a 128k-token context window. On pricing, Granite 3.3 8B Instruct costs $0.03/1M 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.
Granite 3.3 8B Instruct is ~567% cheaper at $0.03/1M; pay for ELYZA Japanese Llama 2 7B only for provider fit.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 7B | Granite 3.3 8B Instruct |
|---|---|---|
| Best for | provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | General | RAG, Agents, and Long context |
| Context window | — | 128k |
| Cheapest output | $0.20/1M tokens | $0.25/1M tokens |
| Provider routes | 2 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- ELYZA Japanese Llama 2 7B has the lower cheapest tracked output price at $0.20/1M tokens.
- Granite 3.3 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Granite 3.3 8B Instruct uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Granite 3.3 8B Instruct for RAG, Agents, and Long context.
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
Granite 3.3 8B Instruct
$86.50
Cheapest tracked route/tier: Replicate API
Estimated monthly gap: $124. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for ELYZA Japanese Llama 2 7B and Granite 3.3 8B Instruct; plan for SDK, billing, or endpoint changes.
- Granite 3.3 8B Instruct is $0.05/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Granite 3.3 8B Instruct adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Granite 3.3 8B Instruct and ELYZA Japanese Llama 2 7B; plan for SDK, billing, or endpoint changes.
- ELYZA Japanese Llama 2 7B is $0.05/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2025-03-01 |
| Context window | — | 128k |
| Parameters | 7B | 8B |
| Architecture | decoder only | decoder only |
| License | Llama 2 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | 2024-04 |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 7B | Granite 3.3 8B Instruct |
|---|---|---|
| Input price | $0.20/1M tokens | $0.03/1M tokens |
| Output price | $0.20/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Capability | ELYZA Japanese Llama 2 7B | Granite 3.3 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| 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 differs most on function calling: Granite 3.3 8B Instruct and tool use: Granite 3.3 8B Instruct. 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.
For cost, ELYZA Japanese Llama 2 7B lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Granite 3.3 8B Instruct lists $0.03/1M input and $0.25/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Granite 3.3 8B Instruct lower by about $0.10 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.
Choose ELYZA Japanese Llama 2 7B when provider fit are central to the workload. Choose Granite 3.3 8B Instruct 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.
FAQ
Which is cheaper, ELYZA Japanese Llama 2 7B or Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct is cheaper on tracked token pricing. ELYZA Japanese Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Granite 3.3 8B Instruct costs $0.03/1M input and $0.25/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is ELYZA Japanese Llama 2 7B or Granite 3.3 8B Instruct open source?
ELYZA Japanese Llama 2 7B is listed under Llama 2 Community. Granite 3.3 8B Instruct is listed under Apache 2.0. 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 7B or Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct 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 7B or Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct 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.
Where can I run ELYZA Japanese Llama 2 7B and Granite 3.3 8B Instruct?
ELYZA Japanese Llama 2 7B is available on Fireworks AI and IBM watsonx. Granite 3.3 8B Instruct is available on NVIDIA NIM and Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick ELYZA Japanese Llama 2 7B over Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct is ~567% cheaper at $0.03/1M; 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 Granite 3.3 8B Instruct.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.