Together AI - Gemma 3n-e4B vs Trinity-Large-Thinking
Together AI - Gemma 3n-e4B (2026) and Trinity-Large-Thinking (2026) are frontier reasoning models from Google DeepMind and Arcee AI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Trinity-Large-Thinking ships a 256k-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.22/1M 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 ~1000% cheaper at $0.02/1M; pay for Trinity-Large-Thinking only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Trinity-Large-Thinking |
|---|---|---|
| Best for | tool-calling agents | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Agents, Classification, and JSON / Tool use | RAG, Agents, and Long context |
| Context window | 8k | 256k |
| Cheapest output | $0.04/1M tokens | $0.85/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
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-Thinking has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Trinity-Large-Thinking has broader tracked provider coverage for fallback and route flexibility.
- Trinity-Large-Thinking uniquely exposes Reasoning in local model data.
- Local decision data tags Trinity-Large-Thinking 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-Thinking
$389
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $363. 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-Thinking; plan for SDK, billing, or endpoint changes.
- Trinity-Large-Thinking is $0.81/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Trinity-Large-Thinking adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Trinity-Large-Thinking and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $0.81/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2026-04-01 |
| Context window | 8k | 256k |
| Parameters | 4B | 400B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Gemma | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Trinity-Large-Thinking |
|---|---|---|
| Input price | $0.02/1M tokens | $0.22/1M tokens |
| Output price | $0.04/1M tokens | $0.85/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Trinity-Large-Thinking |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| JSON / 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 scores are currently available for this pair.
Continue comparing
- Together AI - Gemma 3n-e4B vs Trinity-Large-Preview
- Together AI - Gemma 3n-e4B vs Phi-4 Mini Flash Reasoning
- Gemma 3 12B vs Trinity-Large-Thinking
- Together AI - Gemma 3n-e4B vs Hunyuan Hy3 Preview
- DeepSeek V4 Pro vs Trinity-Large-Thinking
- DeepSeek V4 Flash vs Trinity-Large-Thinking
- Grok 4 vs Trinity-Large-Thinking
- GPT-5.5 vs Trinity-Large-Thinking
- Grok 4.3 vs Trinity-Large-Thinking
- Claude Opus 4.7 vs Trinity-Large-Thinking
Popular comparisons for Together AI - Gemma 3n-e4B
- Together AI - Gemma 3n-e4B vs Hunyuan Hy3 Preview
- Together AI - Gemma 3n-e4B vs Phi-4 Mini Flash Reasoning
- Together AI - Gemma 3n-e4B vs Granite Guardian 3.0 8B
- Together AI - Gemma 3n-e4B vs Nemotron Mini 4B Instruct
- Together AI - Gemma 3n-e4B vs Xiaomi MiMo-V2.5-Pro
- Together AI - Gemma 3n-e4B vs Stockmark 2 100B Instruct
Popular comparisons for Trinity-Large-Thinking
Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.