Gemma 3n 4B (free) vs Trinity-Large-Thinking
Gemma 3n 4B (free) (2025) and Trinity-Large-Thinking (2026) are frontier reasoning models from Google DeepMind and Arcee AI. Gemma 3n 4B (free) ships a 8k-token context window, while Trinity-Large-Thinking ships a 256k-token context window. On pricing, Gemma 3n 4B (free) 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.
Gemma 3n 4B (free) is ~1000% cheaper at $0.02/1M; pay for Trinity-Large-Thinking only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Gemma 3n 4B (free) | Trinity-Large-Thinking |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | 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 | 3 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Gemma 3n 4B (free) has the lower cheapest tracked output price at $0.04/1M tokens.
- Local decision data tags Gemma 3n 4B (free) for Classification and JSON / Tool use.
- Trinity-Large-Thinking has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Trinity-Large-Thinking uniquely exposes Reasoning and JSON / Tool use 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.
Gemma 3n 4B (free)
$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
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- 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 and JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemma 3n 4B (free) is $0.81/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-03 | 2026-04-01 |
| Context window | 8k | 256k |
| Parameters | 8B (4B effective active) | 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 | Gemma 3n 4B (free) | 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 | Gemma 3n 4B (free) | Trinity-Large-Thinking |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| JSON / Tool use | No | 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.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.