Granite 3.3 8B Instruct vs Llama 3 Taiwan 70B Instruct
Granite 3.3 8B Instruct (2025) and Llama 3 Taiwan 70B Instruct (2024) are compact production models from IBM Research and AI at Meta. Granite 3.3 8B Instruct ships a 128k-token context window, while Llama 3 Taiwan 70B Instruct ships a 8k-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.
Granite 3.3 8B Instruct fits 16x more tokens; pick it for long-context work and Llama 3 Taiwan 70B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Granite 3.3 8B Instruct | Llama 3 Taiwan 70B Instruct |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | general production evaluation |
| Decision fit | RAG, Agents, and Long context | General |
| Context window | 128k | 8k |
| Cheapest output | $0.25/1M tokens | - |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Granite 3.3 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Granite 3.3 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- 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.
- Use Llama 3 Taiwan 70B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Granite 3.3 8B Instruct
$86.50
Cheapest tracked route/tier: Replicate API
Llama 3 Taiwan 70B Instruct
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Granite 3.3 8B Instruct adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-01 | 2024-07-01 |
| Context window | 128k | 8k |
| Parameters | 8B | 70B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0(OSI) | Llama 3 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2024-04 | 2023-12 |
Pricing and availability
| Pricing attribute | Granite 3.3 8B Instruct | Llama 3 Taiwan 70B Instruct |
|---|---|---|
| Input price | $0.03/1M tokens | - |
| Output price | $0.25/1M tokens | - |
| Providers |
Capabilities
| Capability | Granite 3.3 8B Instruct | Llama 3 Taiwan 70B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | 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 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.
Pricing coverage is uneven: Granite 3.3 8B Instruct has $0.03/1M input tokens and Llama 3 Taiwan 70B Instruct has no token price sourced yet. Provider availability is 2 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Granite 3.3 8B Instruct when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Llama 3 Taiwan 70B Instruct 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.
FAQ
Which has a larger context window, Granite 3.3 8B Instruct or Llama 3 Taiwan 70B Instruct?
Granite 3.3 8B Instruct supports 128k tokens, while Llama 3 Taiwan 70B Instruct supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Granite 3.3 8B Instruct or Llama 3 Taiwan 70B Instruct open source?
Granite 3.3 8B Instruct is listed under Apache 2.0. Llama 3 Taiwan 70B Instruct is listed under Llama 3 Community. 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, Granite 3.3 8B Instruct or Llama 3 Taiwan 70B 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, Granite 3.3 8B Instruct or Llama 3 Taiwan 70B 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 Granite 3.3 8B Instruct and Llama 3 Taiwan 70B Instruct?
Granite 3.3 8B Instruct is available on NVIDIA NIM and Replicate API. Llama 3 Taiwan 70B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Granite 3.3 8B Instruct over Llama 3 Taiwan 70B Instruct?
Granite 3.3 8B Instruct fits 16x more tokens; pick it for long-context work and Llama 3 Taiwan 70B Instruct for tighter calls. If your workload also depends on long-context analysis, start with Granite 3.3 8B Instruct; if it depends on provider fit, run the same evaluation with Llama 3 Taiwan 70B Instruct.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.