Together AI - Gemma 3n-e4B vs Phi-4 14B
Together AI - Gemma 3n-e4B (2026) and Phi-4 14B (2024) are compact production models from Google DeepMind and Microsoft Research. Together AI - Gemma 3n-e4B ships a 8K-token context window, while Phi-4 14B ships a not-yet-sourced context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.07/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~225% cheaper at $0.02/1M; pay for Phi-4 14B only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2024-12-13 |
| Context window | 8K | — |
| Parameters | 4B | 14B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Phi-4 14B |
|---|---|---|
| Input price | $0.02/1M tokens | $0.07/1M tokens |
| Output price | $0.04/1M tokens | $0.14/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Phi-4 14B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Together AI - Gemma 3n-e4B and tool use: Together AI - Gemma 3n-e4B. Both models share structured outputs, 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, while Phi-4 14B lists $0.07/1M input and $0.14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.06 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 Phi-4 14B when provider fit 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 is cheaper, Together AI - Gemma 3n-e4B or Phi-4 14B?
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. Phi-4 14B costs $0.07/1M input and $0.14/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or Phi-4 14B open source?
Together AI - Gemma 3n-e4B is listed under Open Source. Phi-4 14B is listed under Open Source. 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 Phi-4 14B?
Together AI - Gemma 3n-e4B 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, Together AI - Gemma 3n-e4B or Phi-4 14B?
Together AI - Gemma 3n-e4B 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.
Which is better for structured outputs, Together AI - Gemma 3n-e4B or Phi-4 14B?
Both Together AI - Gemma 3n-e4B and Phi-4 14B expose structured outputs. 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 Phi-4 14B?
Together AI - Gemma 3n-e4B is available on Together AI. Phi-4 14B is available on OpenRouter and Fireworks AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.