Gemma 4 E2B vs Xiaomi MiMo-V2.5-Pro
Gemma 4 E2B (2026) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from Google DeepMind and Xiaomi. Gemma 4 E2B ships a 128k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-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.
Xiaomi MiMo-V2.5-Pro fits 8x more tokens; pick it for long-context work and Gemma 4 E2B for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemma 4 E2B | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 128k | 1M |
| Cheapest output | - | $3/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 4 E2B uniquely exposes Multimodal in local model data.
- Local decision data tags Gemma 4 E2B for RAG, Agents, and Long context.
- Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5-Pro uniquely exposes Tool use and Structured outputs in local model data.
- Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemma 4 E2B
Unavailable
No complete token price in local provider data
Xiaomi MiMo-V2.5-Pro
$1,550
Cheapest tracked route: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 4 E2B and Xiaomi MiMo-V2.5-Pro; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Multimodal before moving production traffic.
- Xiaomi MiMo-V2.5-Pro adds Tool use and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-Pro and Gemma 4 E2B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Tool use and Structured outputs before moving production traffic.
- Gemma 4 E2B adds Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-31 | 2026-04-22 |
| Context window | 128k | 1M |
| Parameters | 2B | 1T |
| Architecture | - | mixture of experts |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 4 E2B | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | - | $1/1M tokens |
| Output price | - | $3/1M tokens |
| Providers |
Capabilities
| Capability | Gemma 4 E2B | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| 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: Xiaomi MiMo-V2.5-Pro, and structured outputs: Xiaomi MiMo-V2.5-Pro. 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: Gemma 4 E2B has no token price sourced yet and Xiaomi MiMo-V2.5-Pro has $1/1M input tokens. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemma 4 E2B when provider fit are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support 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, Gemma 4 E2B or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1M tokens, while Gemma 4 E2B supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 4 E2B or Xiaomi MiMo-V2.5-Pro open source?
Gemma 4 E2B is listed under Open Source. Xiaomi MiMo-V2.5-Pro is listed under Proprietary. 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, Gemma 4 E2B or Xiaomi MiMo-V2.5-Pro?
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, Gemma 4 E2B or Xiaomi MiMo-V2.5-Pro?
Both Gemma 4 E2B and Xiaomi MiMo-V2.5-Pro 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, Gemma 4 E2B or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro 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 Gemma 4 E2B and Xiaomi MiMo-V2.5-Pro?
Gemma 4 E2B is available on GCP Vertex AI. Xiaomi MiMo-V2.5-Pro is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.