DeepSeek V3 vs Gemma 4 E2B
DeepSeek V3 (2024) and Gemma 4 E2B (2026) are compact production models from DeepSeek and Google DeepMind. DeepSeek V3 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 when provider fit matters.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2026-03-31 |
| Context window | 64k | 128k |
| Parameters | 671B | 2B |
| Architecture | mixture of experts | - |
| License | Open Source | Open Source |
| Knowledge cutoff | 2024-04 | - |
Pricing and availability
| Pricing attribute | DeepSeek V3 | Gemma 4 E2B |
|---|---|---|
| Input price | $0.1/1M tokens | - |
| Output price | $0.3/1M tokens | - |
| Providers |
Capabilities
| Capability | DeepSeek V3 | Gemma 4 E2B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: Gemma 4 E2B, tool use: DeepSeek V3, and structured outputs: DeepSeek V3. Both models share function calling, 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 has $0.1/1M input tokens and Gemma 4 E2B has no token price sourced yet. Provider availability is 12 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 when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, DeepSeek V3 or Gemma 4 E2B?
Gemma 4 E2B supports 128k tokens, while DeepSeek V3 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 or Gemma 4 E2B open source?
DeepSeek V3 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 multimodal input, DeepSeek V3 or Gemma 4 E2B?
Gemma 4 E2B 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.
Which is better for function calling, DeepSeek V3 or Gemma 4 E2B?
Both DeepSeek V3 and Gemma 4 E2B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for tool use, DeepSeek V3 or Gemma 4 E2B?
DeepSeek V3 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 and Gemma 4 E2B?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Gemma 4 E2B is available on GCP Vertex 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.