Gemini 4 Argon vs MiMo-V2.6-Pro
Gemini 4 Argon leads the LLM Stats Score 55.1 to 48.9. MiMo-V2.6-Pro is 7.4x cheaper per token.
Google · Xiaomi · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 48.9, ranking #4 overall.
In the 3 individual benchmarks reported for both models, Gemini 4 Argon wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, MiMo-V2.6-Pro is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose MiMo-V2.6-Pro
- cost matters — it's about 7.4x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 18 for MiMo-V2.6-Pro
Gemini 4 Argon outperforms in 3 benchmarks (Agents' Last Exam, DeepSWE 1.1, Terminal-Bench 4.0), while MiMo-V2.6-Pro is better at 0 benchmarks.
Gemini 4 Argon 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, Gemini 4 Argon ($2.00/1M tokens) is 4.6x more expensive than MiMo-V2.6-Pro ($0.43/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 11.5x more expensive than MiMo-V2.6-Pro ($0.87/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than MiMo-V2.6-Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Only Gemini 4 Argon specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and MiMo-V2.6-Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
MiMo-V2.6-Pro
License
Usage and distribution terms
Gemini 4 Argon 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
Gemini 4 Argon was released on 2026-09-30, while MiMo-V2.6-Pro was released on 2026-09-22.
Gemini 4 Argon is 0 month newer than MiMo-V2.6-Pro.
Sep 30, 2026
2 weeks ago
1w newerSep 22, 2026
3 weeks 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
Gemini 4 Argon is available from Google. MiMo-V2.6-Pro is available from Xiaomi.
Gemini 4 Argon
MiMo-V2.6-Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and MiMo-V2.6-Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs MiMo-V2.6-Pro.