DeepSeek V3.2 vs Together AI - Gemma 3n-e4B
DeepSeek V3.2 (2025) and Together AI - Gemma 3n-e4B (2026) are compact production models from DeepSeek and Google DeepMind. DeepSeek V3.2 ships a 160k-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 $0.25/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Together AI - Gemma 3n-e4B is ~1160% cheaper at $0.02/1M; pay for DeepSeek V3.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.2 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Best for | provider-routed production | tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Agents, Classification, and JSON / Tool use |
| Context window | 160k | 8k |
| Cheapest output | $0.38/1M tokens | $0.04/1M tokens |
| Provider routes | 7 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3.2 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V3.2 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek V3.2 for Coding, RAG, and Agents.
- Together AI - Gemma 3n-e4B has the lower cheapest tracked output price at $0.04/1M tokens.
- Together AI - Gemma 3n-e4B uniquely exposes Function calling and Tool use 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 V3.2
$296
Cheapest tracked route/tier: OpenRouter
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $270. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3.2 and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Together AI - Gemma 3n-e4B is $0.34/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Together AI - Gemma 3n-e4B adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and DeepSeek V3.2; plan for SDK, billing, or endpoint changes.
- DeepSeek V3.2 is $0.34/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- DeepSeek V3.2 adds Code execution in local capability data.
Specs
Pricing and availability
| Pricing attribute | DeepSeek V3.2 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Input price | $0.25/1M tokens | $0.02/1M tokens |
| Output price | $0.38/1M tokens | $0.04/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.2 | Together AI - Gemma 3n-e4B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | 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 code execution: DeepSeek V3.2. 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 V3.2 lists $0.25/1M input and $0.38/1M output tokens on the cheapest tracked provider, 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 $0.26 per million blended tokens. Availability is 7 providers versus 1, so concentration risk also matters.
Choose DeepSeek V3.2 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, DeepSeek V3.2 or Together AI - Gemma 3n-e4B?
DeepSeek V3.2 supports 160k 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 V3.2 or Together AI - Gemma 3n-e4B?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. DeepSeek V3.2 costs $0.25/1M input and $0.38/1M 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 V3.2 or Together AI - Gemma 3n-e4B open source?
DeepSeek V3.2 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 V3.2 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 V3.2 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.
Where can I run DeepSeek V3.2 and Together AI - Gemma 3n-e4B?
DeepSeek V3.2 is available on Fireworks AI, NVIDIA NIM, AWS Bedrock, OpenRouter, and Microsoft Foundry. 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.