Together AI - Gemma 3n-e4B vs GPT-4 Turbo
Together AI - Gemma 3n-e4B (2026) and GPT-4 Turbo (2024) are compact production models from Google DeepMind and OpenAI. Together AI - Gemma 3n-e4B ships a 8K-token context window, while GPT-4 Turbo ships a 128K-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~24900% cheaper at $0.02/1M; pay for GPT-4 Turbo only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | GPT-4 Turbo |
|---|---|---|
| Decision fit | Agents, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 8K | 128K |
| Cheapest output | $0.04/1M tokens | $15/1M tokens |
| Provider routes | 1 tracked | 5 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.
- GPT-4 Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-4 Turbo has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route: Together AI
GPT-4 Turbo
$7,750
Cheapest tracked route: Replicate API
Estimated monthly gap: $7,724. Batch, cache, 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 GPT-4 Turbo; plan for SDK, billing, or endpoint changes.
- GPT-4 Turbo is $14.96/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 Turbo adds Vision, Multimodal, and Code execution in local capability data.
- No overlapping tracked provider route is sourced for GPT-4 Turbo and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $14.96/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2024-04-09 |
| Context window | 8K | 128K |
| Parameters | 4B | 1.76T (8x222B MoE)* |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-06 | 2023-12 |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | GPT-4 Turbo |
|---|---|---|
| Input price | $0.02/1M tokens | $5/1M tokens |
| Output price | $0.04/1M tokens | $15/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | GPT-4 Turbo |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4 Turbo, multimodal input: GPT-4 Turbo, and code execution: GPT-4 Turbo. Both models share function calling, tool use, and 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 GPT-4 Turbo lists $5/1M input and $15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $7.97 per million blended tokens. Availability is 1 providers versus 5, 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 GPT-4 Turbo when coding workflow support, 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.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or GPT-4 Turbo?
GPT-4 Turbo 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 GPT-4 Turbo?
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. GPT-4 Turbo costs $5/1M input and $15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or GPT-4 Turbo open source?
Together AI - Gemma 3n-e4B is listed under Open Source. GPT-4 Turbo is listed under Proprietary. 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 GPT-4 Turbo?
GPT-4 Turbo 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Together AI - Gemma 3n-e4B or GPT-4 Turbo?
GPT-4 Turbo 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 GPT-4 Turbo?
Together AI - Gemma 3n-e4B is available on Together AI. GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. 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.