Gemma 3 27B vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads the LLM Stats Score 49.8 to 8.3. Gemma 3 27B is 5.4x cheaper per token.
Google · Xiaomi · Updated for 2026
Which is better?
MiMo-V2.6-Pro leads the overall LLM Stats Score 49.8 to 8.3, ranking #19 overall.
On price, Gemma 3 27B is roughly 5.4x 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 Gemma 3 27B
- cost matters — it's about 5.4x 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
At a glance
The differences that matter most.
Individual benchmarks
27 reported for Gemma 3 27B · 18 for MiMo-V2.6-Pro
Gemma 3 27B 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, Gemma 3 27B ($0.08/1M tokens) is 5.4x cheaper than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, Gemma 3 27B ($0.16/1M tokens) is 5.4x cheaper than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, MiMo-V2.6-Pro is more expensive than Gemma 3 27B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiMo-V2.6-Pro has 993.0B more parameters than Gemma 3 27B, making it 3677.8% larger.
Context Window
Maximum input and output token capacity
MiMo-V2.6-Pro accepts 1,048,576 input tokens compared to Gemma 3 27B's 131,072 tokens. Only Gemma 3 27B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemma 3 27B and MiMo-V2.6-Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3 27B
MiMo-V2.6-Pro
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, while MiMo-V2.6-Pro uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while MiMo-V2.6-Pro was released on 2026-09-22.
MiMo-V2.6-Pro is 19 months newer than Gemma 3 27B.
Mar 12, 2025
1.5 years ago
Sep 22, 2026
0 days ago
1.5yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemma 3 27B is available from DeepInfra, Novita. MiMo-V2.6-Pro is available from Xiaomi.
Gemma 3 27B
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 27B and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs MiMo-V2.6-Pro.