Together AI - Gemma 3n-e4B vs Trinity-Large-Preview
Together AI - Gemma 3n-e4B (2026) and Trinity-Large-Preview (2026) are compact production models from Google DeepMind and Arcee AI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Trinity-Large-Preview ships a 128k-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.15/1M 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 ~650% cheaper at $0.02/1M; pay for Trinity-Large-Preview only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Trinity-Large-Preview |
|---|---|---|
| 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 | $0.45/1M tokens |
| Provider routes | 1 tracked | 3 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.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
- Trinity-Large-Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Trinity-Large-Preview has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Trinity-Large-Preview 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
Trinity-Large-Preview
$233
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $207. 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 Trinity-Large-Preview; plan for SDK, billing, or endpoint changes.
- Trinity-Large-Preview is $0.41/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- No overlapping tracked provider route is sourced for Trinity-Large-Preview and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $0.41/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2026-01-27 |
| Context window | 8k | 128k |
| Parameters | 4B | 400B |
| Architecture | decoder only | Sparse Mixture of Experts (MoE) |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Trinity-Large-Preview |
|---|---|---|
| Input price | $0.02/1M tokens | $0.15/1M tokens |
| Output price | $0.04/1M tokens | $0.45/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Trinity-Large-Preview |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| 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 function calling, tool use, and structured outputs. 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, Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M output tokens on the cheapest tracked provider, while Trinity-Large-Preview lists $0.15/1M input and $0.45/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.21 per million blended tokens. Availability is 1 providers versus 3, 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 Trinity-Large-Preview 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Trinity-Large-Preview?
Trinity-Large-Preview 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 Trinity-Large-Preview?
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. Trinity-Large-Preview costs $0.15/1M input and $0.45/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or Trinity-Large-Preview open source?
Together AI - Gemma 3n-e4B is listed under Open Source. Trinity-Large-Preview 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 Trinity-Large-Preview?
Both Together AI - Gemma 3n-e4B and Trinity-Large-Preview 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 Trinity-Large-Preview?
Both Together AI - Gemma 3n-e4B and Trinity-Large-Preview 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 Trinity-Large-Preview?
Together AI - Gemma 3n-e4B is available on Together AI. Trinity-Large-Preview is available on OpenRouter, Arcee AI, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.