Gemma 4 vs MiMo V2 Pro — Google vs Xiaomi AI Showdown (2026)
📢 Update: MiMo V2.5 Pro is now available — significantly improved over V2. See the V2.5 complete guide, how to use the API, and V2.5 vs V2 Pro comparison.
Google’s Gemma 4 and Xiaomi’s MiMo V2 Pro represent two different philosophies: fully open vs API-first. Gemma 4 is free and runs on your laptop. MiMo V2 Pro is a proprietary API that costs money but delivers higher raw quality. Here’s how they compare.
Update (April 23, 2026): Xiaomi released MiMo V2.5 Pro, which scores 57.2% on SWE-bench Pro and uses 40-60% fewer tokens than Opus 4.6. See our V2.5 Pro complete guide for details.
At a glance
| Gemma 4 31B | MiMo V2 Pro | |
|---|---|---|
| Maker | Google DeepMind | Xiaomi |
| Parameters | 31B (dense) | 1T total / 42B active (MoE) |
| Context window | 256K tokens | 1M tokens |
| License | Apache 2.0 (open) | Proprietary (API only) |
| Run locally | ✅ Yes | ❌ No |
| Pricing | Free | $1.00/M input, $3.00/M output |
| Multimodal | Text + Image | Text only |
| Best at | Local deployment, edge | Raw quality, long context |
Benchmarks
| Benchmark | Gemma 4 31B | MiMo V2 Pro |
|---|---|---|
| MMLU | 85.1 | 87.3 |
| HumanEval (coding) | 80.2 | 83.8 |
| GSM8K (math) | 90.5 | 92.1 |
| ARC-C (reasoning) | 92.1 | 93.4 |
| MGSM (multilingual) | 84.7 | 86.2 |
MiMo V2 Pro wins every benchmark — but by small margins. The gap is 2-4 points, not 10-20. For most practical tasks, you won’t notice the difference.
The real question is whether that quality gap justifies the cost difference: free vs $1-3 per million tokens.
When Gemma 4 wins
You need to run locally
Gemma 4 runs on your hardware. MiMo V2 Pro doesn’t. If you need:
- Privacy — regulated industries, client data, medical records
- Offline access — air-gapped environments, unreliable internet
- Zero cost — no API bills, no rate limits
- Low latency — no network round-trip
Then Gemma 4 is the only option. See our local setup guide to get started.
You need multimodal
Gemma 4 handles text and images natively. You can feed it screenshots, diagrams, or photos alongside text prompts. MiMo V2 Pro is text-only — for multimodal, Xiaomi offers MiMo V2 Omni, a separate model.
You want to fine-tune
Apache 2.0 means you can fine-tune Gemma 4 for your specific use case, distribute the fine-tuned model, and build commercial products on top. MiMo V2 Pro offers no fine-tuning access.
You’re building for edge/mobile
Gemma 4’s smaller variants (E2B at 2.3B, E4B at 4.5B) run on phones and IoT devices. There’s no MiMo equivalent for on-device deployment.
When MiMo V2 Pro wins
You need maximum quality
MiMo V2 Pro consistently scores higher on benchmarks. For tasks where accuracy matters — legal analysis, medical reasoning, complex code generation — those extra points translate to fewer errors.
You need 1M token context
MiMo V2 Pro handles 1 million tokens of context. Gemma 4 maxes out at 256K. If you’re processing entire codebases, long legal documents, or book-length content, MiMo V2 Pro can handle it in a single pass.
For even longer context, Llama 4 Scout offers 10M tokens — but that’s a different comparison.
You want zero setup
MiMo V2 Pro is an API call. No hardware to manage, no models to download, no quantization to configure. Sign up, get a key, start building. See our MiMo V2 Pro API guide.
You’re building a production service
For a SaaS product serving thousands of users, an API is simpler to scale than self-hosted inference. MiMo V2 Pro handles the infrastructure — you just pay per token.
Cost analysis
Scenario 1: Solo developer (light use)
- Gemma 4: $0/month (runs locally)
- MiMo V2 Pro: ~$5-15/month (50-100 requests/day)
Gemma 4 wins easily for individual use.
Scenario 2: Small team (moderate use)
- Gemma 4: $0/month + hardware cost (one-time $500-2000 for a GPU)
- MiMo V2 Pro: ~$50-150/month
Gemma 4 pays for itself in 3-6 months if you already have suitable hardware. Check our GPU buying guide for recommendations.
Scenario 3: Production service (heavy use)
- Gemma 4: Significant infrastructure cost (GPUs, hosting, maintenance)
- MiMo V2 Pro: Scales linearly with usage, no infrastructure management
MiMo V2 Pro is simpler at scale. For a deeper analysis, see our self-hosted AI vs API comparison.
The MiMo V2 family alternative
If you like Xiaomi’s models but want something cheaper or open-source, the MiMo V2 family has options:
- MiMo V2 Flash — open source, 15B active params, $0.10/M input. A budget alternative to Pro.
- MiMo V2 Omni — multimodal (vision + audio), for tasks Gemma 4 can also handle.
For a direct comparison within the family, see MiMo V2 Pro vs Flash.
The verdict
Pick Gemma 4 if you value freedom — free to use, free to modify, runs on your hardware, no vendor lock-in. The quality is 90-95% of MiMo V2 Pro for most tasks.
Pick MiMo V2 Pro if you need the absolute best quality and don’t mind paying for it. The API is simple, the context window is massive, and the benchmarks speak for themselves.
For most developers, Gemma 4 is the better starting point. You can always add MiMo V2 Pro as a fallback for tasks where the extra quality matters. See our best open-source AI models ranking for more options.
Related: AI Coding Tools Pricing