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Gemma 3n E2B Instructed vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 45.8 to -11.1.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to -11.1, ranking #39 overall.

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

Choose Gemma 3n E2B Instructed

  • you are already invested in the Google ecosystem

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
-11.1
#394
45.8
#39
Reasoning
-11.4
#386
43.9
#48
Coding
-4.6
#282
35.0
#31
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Individual benchmarks

18 reported for Gemma 3n E2B Instructed · 18 for Mistral Large 4

No common benchmarks found

Gemma 3n E2B Instructed and Mistral Large 4don'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

Model Size

Parameter count comparison

1042.0B diff

Mistral Large 4 has 1042.0B more parameters than Gemma 3n E2B Instructed, making it 13025.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
8.0B
Gemma 3n E2B Instructed
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed and Mistral Large 4 support multimodal inputs.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B Instructed

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 16 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.3 years ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Mistral Large 4's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Mistral Large 4

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs Mistral Large 4.

Which is better, Gemma 3n E2B Instructed or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 45.8 to -11.1. Gemma 3n E2B Instructed is made by Google and Mistral Large 4 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 Gemma 3n E2B Instructed compare to Mistral Large 4 in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for Gemma 3n E2B Instructed and Mistral Large 4?

Gemma 3n E2B Instructed supports an unknown number of tokens and Mistral Large 4 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 Gemma 3n E2B Instructed and Mistral Large 4?

Key differences include LLM Stats Score (-11.1 vs 45.8). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed and Mistral Large 4?

Gemma 3n E2B Instructed is developed by Google and Mistral Large 4 is developed by Mistral AI.

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