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Gemini 3.8 Flash vs Ministral 3 (14B Base 2512)

Gemini 3.8 Flash leads the LLM Stats Score 50.5 to 3.6.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.5 to 3.6, ranking #17 overall.

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

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 50.5 and ranks #17 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Ministral 3 (14B Base 2512)

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

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Ministral 3 (14B Base 2512)
Mistral AI
Core performance indexes
LLM Stats Score
50.5
#17
3.6
#308
Reasoning
46.9
#25
3.5
#300
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Individual benchmarks

13 reported for Gemini 3.8 Flash · 6 for Ministral 3 (14B Base 2512)

No common benchmarks found

Gemini 3.8 Flash and Ministral 3 (14B Base 2512)don'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 Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Ministral 3 (14B Base 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.8 Flash

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash is licensed under a proprietary license, while Ministral 3 (14B Base 2512) uses Apache 2.0.

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

Gemini 3.8 Flash

Proprietary

Closed source

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Gemini 3.8 Flash is 9 months newer than Ministral 3 (14B Base 2512).

Gemini 3.8 Flash

Sep 2, 2026

1 weeks ago

9mo newer
Ministral 3 (14B Base 2512)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Ministral 3 (14B Base 2512)'s cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Ministral 3 (14B Base 2512)'s cutoff date.

Gemini 3.8 Flash

Mar 2026

Ministral 3 (14B Base 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Ministral 3 (14B Base 2512).

Which is better, Gemini 3.8 Flash or Ministral 3 (14B Base 2512)?

Gemini 3.8 Flash leads the LLM Stats Score 50.5 to 3.6. Gemini 3.8 Flash is made by Google and Ministral 3 (14B Base 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash compare to Ministral 3 (14B Base 2512) in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the context window sizes for Gemini 3.8 Flash and Ministral 3 (14B Base 2512)?

Gemini 3.8 Flash supports 1.0M tokens and Ministral 3 (14B Base 2512) supports an unknown number of 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 and Ministral 3 (14B Base 2512)?

Key differences include LLM Stats Score (50.5 vs 3.6), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Ministral 3 (14B Base 2512)?

Gemini 3.8 Flash is developed by Google and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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