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Gemini 3.8 Flash Cyber vs MiMo-V2-Pro

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.3 to 35.8.

Google · Xiaomi · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.3 to 35.8, ranking #46 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.3 and ranks #46 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose MiMo-V2-Pro

  • you want predictable pricing at $1.00/M input and $3.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
MiMo-V2-Pro
Xiaomi
Core performance indexes
LLM Stats Score
42.3
#46
35.8
#80
Coding
35.7
#25
25.9
#66
Agents
31.5
#28
17.4
#72
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.00 / M
Output price
— / M
$3.00 / M
Context window
—
1,000,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 7 for MiMo-V2-Pro

No common benchmarks found

Gemini 3.8 Flash Cyber and MiMo-V2-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

Context Window

Maximum input and output token capacity

Only MiMo-V2-Pro specifies input context (1,000,000 tokens). Only MiMo-V2-Pro specifies output context (16,384 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Tue Sep 08 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

MiMo-V2-Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while MiMo-V2-Pro was released on 2026-03-18.

Gemini 3.8 Flash Cyber is 6 months newer than MiMo-V2-Pro.

Gemini 3.8 Flash Cyber

Sep 2, 2026

6 days ago

5mo newer
MiMo-V2-Pro

Mar 18, 2026

5 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and MiMo-V2-Pro side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
MiMo-V2-Pro
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs MiMo-V2-Pro.

Which is better, Gemini 3.8 Flash Cyber or MiMo-V2-Pro?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.3 to 35.8. Gemini 3.8 Flash Cyber is made by Google and MiMo-V2-Pro 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 3.8 Flash Cyber compare to MiMo-V2-Pro in benchmarks?

Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%. MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

What are the context window sizes for Gemini 3.8 Flash Cyber and MiMo-V2-Pro?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and MiMo-V2-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash Cyber and MiMo-V2-Pro?

Key differences include LLM Stats Score (42.3 vs 35.8). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and MiMo-V2-Pro?

Gemini 3.8 Flash Cyber is developed by Google and MiMo-V2-Pro is developed by Xiaomi.

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