Mercury 2 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 23.6. Mercury 2 is 1.4x cheaper per token.
Inception · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 23.6, ranking #19 overall.
On price, Mercury 2 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiMo-V2.6-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 2
- cost matters — it's about 1.4x cheaper per token
Choose MiMo-V2.6-Pro
- overall performance matters — it scores 49.8 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Mercury 2 · 18 for MiMo-V2.6-Pro
Mercury 2 and MiMo-V2.6-Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mercury 2 ($0.25/1M tokens) is 1.7x cheaper than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, Mercury 2 ($0.75/1M tokens) is 1.2x cheaper than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Mercury 2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Mercury 2's 128,000 tokens. Only Mercury 2 specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
MiMo-V2.6-Pro supports multimodal inputs, whereas Mercury 2 does not.
MiMo-V2.6-Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mercury 2
MiMo-V2.6-Pro
License
Usage and distribution terms
Mercury 2 is licensed under a proprietary license, while MiMo-V2.6-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 2 was released on 2026-02-24, while MiMo-V2.6-Pro was released on 2026-09-22.
MiMo-V2.6-Pro is 7 months newer than Mercury 2.
Feb 24, 2026
7 months ago
Sep 22, 2026
0 days ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mercury 2 is available from Inception. MiMo-V2.6-Pro is available from Xiaomi.
Mercury 2
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Mercury 2 and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mercury 2 vs MiMo-V2.6-Pro.