MiMo-V2-Pro vs Relace Search
MiMo-V2-Pro comes out ahead, 42 to 35 on our weighted score.
- Our pick
XiaomiMiMo-V2-Pro
42/100- ECI—
- Price$1.00 / $3.00
- Context1.05M
Relace
Relace Search
35/100- ECI—
- Price$1.00 / $3.00
- Context256K
Add a model
Make it a three-way comparison.
MiMo-V2-Pro is our pick
MiMo-V2-Pro is the better all-round choice, scoring 42/100 against Relace Search (35). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSame priceMiMo-V2-Pro $1.50 · Relace Search $1.50 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-ProMiMo-V2-Pro 1,048,576 · Relace Search 256,000 tokens
- Widest inputsSame inputsMiMo-V2-Pro: Text · Relace Search: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | MiMo-V2-Pro | Relace Search |
|---|---|---|---|
| Price | 50% | 40 | 40 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 61 | 36 |
| Overall | 100% | 42/100 | 35/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | MiMo-V2-ProXiaomi | Relace SearchRelace |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.00 | $1.00 |
| Output | $3.00 | $3.00 |
| Cached input | — | — |
| Blended (3:1) | $1.50 | $1.50 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 3 providers |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 256,000 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | — |
| API providers | 2 | 3 (best) |
| Released | Mar 18, 2026 | Dec 8, 2025 |
| Knowledge cutoff | Dec 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- MiMo-V2-Pro$16.00
- Relace Search$16.00
Which should you choose?
Which is better: MiMo-V2-Pro or Relace Search?
MiMo-V2-Pro is the better all-round choice, scoring 42/100 against Relace Search (35). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, MiMo-V2-Pro or Relace Search?
MiMo-V2-Pro and Relace Search cost the same: $1.00 input / $3.00 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. MiMo-V2-Pro has not been scored yet and Relace Search has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiMo-V2-Pro and Relace Search yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2-Pro has the largest context window at 1,048,576 tokens, against 256,000 for Relace Search. Maximum output per response: MiMo-V2-Pro up to 131,072, Relace Search up to 128,000 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2-Pro accepts text; Relace Search accepts text. They handle the same number of input types.
Are any of these open source?
No. MiMo-V2-Pro and Relace Search are proprietary and only available through APIs and apps.
Which is newer?
MiMo-V2-Pro is the newest, released Mar 18, 2026. Relace Search came out Dec 8, 2025. Knowledge cutoff: MiMo-V2-Pro Dec 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
Related comparisons
- Add Grok 4.20 (Non-Reasoning)Three-way comparison
- MiMo-V2-Pro vs Grok 4.20 (Non-Reasoning)xAI
- MiMo-V2-Pro vs GLM-5-TurboZ.ai (Zhipu)
- MiMo-V2-Pro vs Gemini Robotics-ER 1.6 PreviewGoogle
- Relace Search vs Grok 4.20 (Non-Reasoning)xAI
- Relace Search vs Hermes 4 405BNous Research
- Relace Search vs Qwen3 VL 235B A22B ThinkingAlibaba (Qwen)
