Mercury 3 vs MiMo-V2.5-Pro
Mercury 3 leads the LLM Stats Score 35.9 to 25.1. Mercury 3 is 3.3x cheaper per token.
Inception · Xiaomi · Updated for 2026
Which is better?
Mercury 3 leads the overall LLM Stats Score 35.9 to 25.1, ranking #103 overall.
In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mercury 3 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.5-Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mercury 3
- overall performance matters — it scores 35.9 and ranks #103 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.3x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose MiMo-V2.5-Pro
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
12 reported for Mercury 3 · 31 for MiMo-V2.5-Pro
Mercury 3 outperforms in 1 benchmarks (GPQA), while MiMo-V2.5-Pro is better at 0 benchmarks.
Mercury 3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mercury 3 ($0.10/1M tokens) is 4.3x cheaper than MiMo-V2.5-Pro ($0.43/1M tokens).
For output processing, Mercury 3 ($0.35/1M tokens) is 2.5x cheaper than MiMo-V2.5-Pro ($0.87/1M tokens).
In conclusion, MiMo-V2.5-Pro is more expensive than Mercury 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.5-Pro accepts 1,048,576 input tokens compared to Mercury 3's 1,000,000 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
Mercury 3 is licensed under a proprietary license, while MiMo-V2.5-Pro uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Mercury 3 was released on 2026-10-19, while MiMo-V2.5-Pro was released on 2026-04-27.
Mercury 3 is 6 months newer than MiMo-V2.5-Pro.
Oct 19, 2026
1 weeks ago
5mo newerApr 27, 2026
6 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mercury 3 is available from Inception. MiMo-V2.5-Pro is available from Xiaomi, DeepInfra, Novita.
Mercury 3
MiMo-V2.5-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 3 and MiMo-V2.5-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 3 vs MiMo-V2.5-Pro.