DeepSeek V3 Base vs Together AI - Gemma 3n-e4B
DeepSeek V3 Base (2024) and Together AI - Gemma 3n-e4B (2026) are compact production models from DeepSeek and Google DeepMind. DeepSeek V3 Base ships a 128k-token context window, while Together AI - Gemma 3n-e4B ships a 8k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V3 Base fits 16x more tokens; pick it for long-context work and Together AI - Gemma 3n-e4B for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 Base | Together AI - Gemma 3n-e4B |
|---|---|---|
| Best for | general production evaluation | tool-calling agents |
| Decision fit | Long context | Agents, Classification, and JSON / Tool use |
| Context window | 128k | 8k |
| Cheapest output | - | $0.04/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3 Base has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags DeepSeek V3 Base for Long context.
- Together AI - Gemma 3n-e4B has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI - Gemma 3n-e4B uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3 Base
Unavailable
No complete token price in local provider data
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: Together AI
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3 Base and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and DeepSeek V3 Base; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
Pricing and availability
| Pricing attribute | DeepSeek V3 Base | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | - | $0.02/1M tokens |
| Output price | - | $0.04/1M tokens |
| Providers | - |
Capabilities
| Capability | DeepSeek V3 Base | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | 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.
Deep dive
The capability footprint differs most on 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.
Pricing coverage is uneven: DeepSeek V3 Base has no token price sourced yet and Together AI - Gemma 3n-e4B has $0.02/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V3 Base when long-context analysis and larger context windows are central to the workload. Choose Together AI - Gemma 3n-e4B 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 has a larger context window, DeepSeek V3 Base or Together AI - Gemma 3n-e4B?
DeepSeek V3 Base 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.
Is DeepSeek V3 Base or Together AI - Gemma 3n-e4B open source?
DeepSeek V3 Base is listed under MIT. Together AI - Gemma 3n-e4B is listed under Gemma. 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, DeepSeek V3 Base or Together AI - Gemma 3n-e4B?
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, DeepSeek V3 Base or Together AI - Gemma 3n-e4B?
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, DeepSeek V3 Base or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B has the clearer documented structured outputs signal in this comparison. If structured outputs 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 Base and Together AI - Gemma 3n-e4B?
DeepSeek V3 Base is available on the tracked providers still being sourced. 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: 2026-06-15. Data sourced from public model cards and provider documentation.