DeepSeek V3.1 vs Together AI - Gemma 3n-e4B
DeepSeek V3.1 (2026) and Together AI - Gemma 3n-e4B (2026) are compact production models from DeepSeek and Google DeepMind. DeepSeek V3.1 ships a 64K-token context window, while Together AI - Gemma 3n-e4B ships a 8K-token context window. On pricing, Together AI - Gemma 3n-e4B costs $0.02/1M input tokens versus $0.56/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Gemma 3n-e4B is ~2700% cheaper at $0.02/1M; pay for DeepSeek V3.1 only for coding workflow support.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2026-03-15 |
| Context window | 64K | 8K |
| Parameters | — | 4B |
| Architecture | mixture of experts | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | $0.56/1M tokens | $0.02/1M tokens |
| Output price | $1.68/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.1 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: DeepSeek V3.1, multimodal input: DeepSeek V3.1, function calling: Together AI - Gemma 3n-e4B, tool use: Together AI - Gemma 3n-e4B, and code execution: DeepSeek V3.1. 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, DeepSeek V3.1 lists $0.56/1M input and $1.68/1M output tokens, while Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M 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 6 providers versus 1, so concentration risk also matters.
Choose DeepSeek V3.1 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Together AI - Gemma 3n-e4B when provider fit and lower input-token cost 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, DeepSeek V3.1 or Together AI - Gemma 3n-e4B?
DeepSeek V3.1 supports 64K 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, DeepSeek V3.1 or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. DeepSeek V3.1 costs $0.56/1M input and $1.68/1M output tokens. Together AI - Gemma 3n-e4B costs $0.02/1M input and $0.04/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.1 or Together AI - Gemma 3n-e4B open source?
DeepSeek V3.1 is listed under Open Source. Together AI - Gemma 3n-e4B 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, DeepSeek V3.1 or Together AI - Gemma 3n-e4B?
DeepSeek V3.1 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, DeepSeek V3.1 or Together AI - Gemma 3n-e4B?
DeepSeek V3.1 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 DeepSeek V3.1 and Together AI - Gemma 3n-e4B?
DeepSeek V3.1 is available on Microsoft Foundry, Fireworks AI, NVIDIA NIM, Together AI, and AWS Bedrock. Together AI - Gemma 3n-e4B is available on Together AI. 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.