DeepSeek V3.1 vs Gemma 4 E2B
DeepSeek V3.1 (2026) and Gemma 4 E2B (2026) are compact production models from DeepSeek and Google DeepMind. DeepSeek V3.1 ships a 64K-token context window, while Gemma 4 E2B ships a 128k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Gemma 4 E2B is safer overall; choose DeepSeek V3.1 when coding workflow support matters.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2026-03-31 |
| Context window | 64K | 128k |
| Parameters | — | 2B |
| Architecture | mixture of experts | - |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | Gemma 4 E2B |
|---|---|---|
| Input price | $0.56/1M tokens | - |
| Output price | $1.68/1M tokens | - |
| Providers |
Capabilities
| Capability | DeepSeek V3.1 | Gemma 4 E2B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | No |
| Structured outputs | Yes | No |
| 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, function calling: Gemma 4 E2B, structured outputs: DeepSeek V3.1, and code execution: DeepSeek V3.1. Both models share multimodal input, 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 V3.1 has $0.56/1M input tokens and Gemma 4 E2B has no token price sourced yet. Provider availability is 6 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 V3.1 when coding workflow support and broader provider choice are central to the workload. Choose Gemma 4 E2B when long-context analysis and larger context windows 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 V3.1 or Gemma 4 E2B?
Gemma 4 E2B supports 128k tokens, while DeepSeek V3.1 supports 64K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V3.1 or Gemma 4 E2B open source?
DeepSeek V3.1 is listed under Open Source. Gemma 4 E2B 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 Gemma 4 E2B?
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 Gemma 4 E2B?
Both DeepSeek V3.1 and Gemma 4 E2B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for function calling, DeepSeek V3.1 or Gemma 4 E2B?
Gemma 4 E2B 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.
Where can I run DeepSeek V3.1 and Gemma 4 E2B?
DeepSeek V3.1 is available on Microsoft Foundry, Fireworks AI, NVIDIA NIM, Together AI, and AWS Bedrock. Gemma 4 E2B is available on GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.