Together AI - Gemma 3n-e4B vs Granite 3.3 8B Instruct
Together AI - Gemma 3n-e4B (2026) and Granite 3.3 8B Instruct (2025) are compact production models from Google DeepMind and IBM Research. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Granite 3.3 8B Instruct ships a 128k-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.03/1M 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.
Together AI - Gemma 3n-e4B is ~50% cheaper at $0.02/1M; pay for Granite 3.3 8B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Granite 3.3 8B Instruct |
|---|---|---|
| Best for | tool-calling agents | tool-calling agents and provider-routed production |
| Decision fit | Agents, Classification, and JSON / Tool use | RAG, Agents, and Long context |
| Context window | 8k | 128k |
| Cheapest output | $0.04/1M tokens | $0.25/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Together AI - Gemma 3n-e4B has the lower cheapest tracked output price at $0.04/1M tokens.
- Together AI - Gemma 3n-e4B uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
- 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.
- 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.
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: Together AI
Granite 3.3 8B Instruct
$86.50
Cheapest tracked route/tier: Replicate API
Estimated monthly gap: $60.50. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and Granite 3.3 8B Instruct; plan for SDK, billing, or endpoint changes.
- Granite 3.3 8B Instruct is $0.21/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Granite 3.3 8B Instruct and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $0.21/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Together AI - Gemma 3n-e4B adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2025-03-01 |
| Context window | 8k | 128k |
| Parameters | 4B | 8B |
| Architecture | decoder only | decoder only |
| License | Gemma | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2024-06 | 2024-04 |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Granite 3.3 8B Instruct |
|---|---|---|
| Input price | $0.02/1M tokens | $0.03/1M tokens |
| Output price | $0.04/1M tokens | $0.25/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Granite 3.3 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | 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 structured outputs: Together AI - Gemma 3n-e4B. Both models share function calling and tool use, 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, Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M 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 Together AI - Gemma 3n-e4B lower by about $0.07 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose Together AI - Gemma 3n-e4B when provider fit and lower input-token cost are central to the workload. Choose Granite 3.3 8B Instruct when long-context analysis, larger context windows, 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.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Granite 3.3 8B Instruct?
Granite 3.3 8B Instruct supports 128k tokens, while Together AI - Gemma 3n-e4B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Together AI - Gemma 3n-e4B or Granite 3.3 8B Instruct?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. Together AI - Gemma 3n-e4B costs $0.02/1M input and $0.04/1M 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 Together AI - Gemma 3n-e4B or Granite 3.3 8B Instruct open source?
Together AI - Gemma 3n-e4B is listed under Gemma. 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, Together AI - Gemma 3n-e4B or Granite 3.3 8B Instruct?
Both Together AI - Gemma 3n-e4B and Granite 3.3 8B Instruct expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for tool use, Together AI - Gemma 3n-e4B or Granite 3.3 8B Instruct?
Both Together AI - Gemma 3n-e4B and Granite 3.3 8B Instruct expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Together AI - Gemma 3n-e4B and Granite 3.3 8B Instruct?
Together AI - Gemma 3n-e4B is available on Together AI. 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.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.