Gemma 4 (Google) vs MiMo (Xiaomi)
Which one should you pick? Here's the full breakdown.
Gemma 4 (Google)
Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices
MiMo (Xiaomi)
Xiaomi's MiMo-V2.5 family launched 2026-04-22 -- Pro (1T total / 42B active MoE, 1M context, native vision+audio reasoning), Multimodal base, TTS (3 sub-models: base, VoiceDesign, VoiceClone), and ASR (open-source, English + Chinese + major dialects). Full voice pipeline for the agent era. Extra-charge 1M-context tier removed at launch
| Category | Gemma 4 (Google) | MiMo (Xiaomi) |
|---|---|---|
| Ease of Use | 7.0 | 7.0 |
| Output Quality | 8.0 | 8.0 |
| Value | 10.0 | 9.0 |
| Features | 8.0 | 9.0 |
| Overall | 8.3 | 8.3 |
Personality & Tone
Gemma 4 (Google): The compact Google cousin
Tone: Similar corporate-Google tone as Gemini but smaller and less polished. Gemma's chat replies are short, cautious, and structured -- closer to a careful intern than a peer.
Quirks: Inherits a Gemini-like safety bias, so refusals appear on prompts Mistral or DeepSeek would answer. Best used as a cheap local fallback or on-device model, not as a personality play.
MiMo (Xiaomi): Xiaomi's voice-first agentic stack
Tone: Direct, multimodal-aware. MiMo-V2.5-Pro is comfortable mixing image, audio, and text inputs in a single turn -- it's been trained for that, not retrofitted to it.
Quirks: Voice-pipeline orientation makes MiMo unusually expressive when audio is in the loop -- TTS variants (VoiceDesign, VoiceClone) and ASR are surfaced as first-class products, which most Chinese frontier vendors haven't done. PRC content filters apply on chat surfaces.
Pricing Comparison
| Feature | Gemma 4 (Google) | MiMo (Xiaomi) |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Benchmark Head-to-Head
Gemma 4 31B benchmarks — MiMo (Xiaomi) has no published benchmarks
| Benchmark | Description | Score |
|---|---|---|
| MMLU | Knowledge across 57 subjects | 83% |
| GPQA Diamond | Graduate-level science questions | 84.3% |
| AIME 2026 | 89.2% | |
| HumanEval | Python code generation | 85% |
Which Should You Pick?
Pick Gemma 4 (Google) if...
- ✓Better value for money (10/10)
Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.
Visit Gemma 4 (Google)Pick MiMo (Xiaomi) if...
- ✓More features (9 vs 8)
Teams building voice-first agentic products that need a coordinated reasoning + TTS + ASR stack from a single vendor. Also Chinese-market builders and developers who need strong multimodal (vision + audio) inputs in one API call without stitching three providers together. The no-surcharge 1M-context stance makes MiMo-V2.5-Pro especially attractive for long-document agentic workloads.
Visit MiMo (Xiaomi)Our Verdict
Gemma 4 (Google) and MiMo (Xiaomi) are extremely close overall. Your choice comes down to specific needs -- Gemma 4 (Google) is better for developers and businesses who need a permissively licensed multimodal llm they can self-host or fine-tune, while MiMo (Xiaomi) works best for teams building voice-first agentic products that need a coordinated reasoning + tts + asr stack from a single vendor.