Together AI - Gemma 3n-e4B vs Phi 4 Multimodal Instruct
Together AI - Gemma 3n-e4B (2026) and Phi 4 Multimodal Instruct (2025) are compact production models from Google DeepMind and Microsoft Research. Together AI - Gemma 3n-e4B ships a 8K-token context window, while Phi 4 Multimodal Instruct ships a 128K-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.9/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~4400% cheaper at $0.02/1M; pay for Phi 4 Multimodal Instruct only for long-context analysis.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2025-01-01 |
| Context window | 8K | 128K |
| Parameters | 4B | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Phi 4 Multimodal Instruct |
|---|---|---|
| Input price | $0.02/1M tokens | $0.9/1M tokens |
| Output price | $0.04/1M tokens | $0.9/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Phi 4 Multimodal Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Phi 4 Multimodal Instruct, multimodal input: Phi 4 Multimodal Instruct, function calling: Together AI - Gemma 3n-e4B, tool use: Together AI - Gemma 3n-e4B, and structured outputs: Together AI - Gemma 3n-e4B. Both models share the core language-model surface, 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 Multimodal Instruct lists $0.9/1M input and $0.9/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.87 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 Multimodal 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.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Phi 4 Multimodal Instruct?
Phi 4 Multimodal 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 Phi 4 Multimodal 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. Phi 4 Multimodal Instruct costs $0.9/1M input and $0.9/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or Phi 4 Multimodal Instruct open source?
Together AI - Gemma 3n-e4B is listed under Open Source. Phi 4 Multimodal Instruct 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 vision, Together AI - Gemma 3n-e4B or Phi 4 Multimodal Instruct?
Phi 4 Multimodal Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Together AI - Gemma 3n-e4B or Phi 4 Multimodal Instruct?
Phi 4 Multimodal Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Together AI - Gemma 3n-e4B and Phi 4 Multimodal Instruct?
Together AI - Gemma 3n-e4B is available on Together AI. Phi 4 Multimodal Instruct is available on Fireworks AI and NVIDIA NIM. 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.