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Gemini 4 Argon vs MiMo-V2-Flash

Gemini 4 Argon leads the LLM Stats Score 55.1 to 30.6.

Google · Xiaomi · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 30.6, ranking #4 overall.

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 reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose MiMo-V2-Flash

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
MiMo-V2-Flash
Xiaomi
Core performance indexes
LLM Stats Score
55.1
#4
30.6
#133
Reasoning
52.4
#7
30.8
#129
Coding
44.1
#4
17.3
#132
Agents
40.5
#4
8.1
#149
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
—
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
MiMo-V2-Flash
Tool use
30.6#6
6.2#158
Long context
30.6#3
14.8#52
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 15 for MiMo-V2-Flash

No common benchmarks found

Gemini 4 Argon and MiMo-V2-Flashdon'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

Context Window

Maximum input and output token capacity

Only MiMo-V2-Flash specifies input context (256,000 tokens). Only MiMo-V2-Flash specifies output context (16,384 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Flash
Input256,000 tokens
Output16,384 tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas MiMo-V2-Flash does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

MiMo-V2-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while MiMo-V2-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 4 Argon

Proprietary

Closed source

MiMo-V2-Flash

MIT

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while MiMo-V2-Flash was released on 2025-12-16.

Gemini 4 Argon is 10 months newer than MiMo-V2-Flash.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

9mo newer
MiMo-V2-Flash

Dec 16, 2025

9 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and MiMo-V2-Flash side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
MiMo-V2-Flash
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs MiMo-V2-Flash.

Which is better, Gemini 4 Argon or MiMo-V2-Flash?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 30.6. Gemini 4 Argon is made by Google and MiMo-V2-Flash is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 4 Argon compare to MiMo-V2-Flash in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. MiMo-V2-Flash scores AIME 2025: 94.1%, Arena-Hard v2: 86.2%, MMLU-Pro: 84.9%, HMMT 2025: 84.4%, GPQA: 83.7%.

What are the context window sizes for Gemini 4 Argon and MiMo-V2-Flash?

Gemini 4 Argon supports an unknown number of tokens and MiMo-V2-Flash supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 4 Argon and MiMo-V2-Flash?

Key differences include LLM Stats Score (55.1 vs 30.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and MiMo-V2-Flash?

Gemini 4 Argon is developed by Google and MiMo-V2-Flash is developed by Xiaomi.

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