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Mistral Large 4 vs Shieldstral 1.0 (3B)

Mistral Large 4 leads the LLM Stats Score 45.8 to -2.7.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to -2.7, ranking #39 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

Choose Shieldstral 1.0 (3B)

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

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Shieldstral 1.0 (3B)
Mistral AI
Core performance indexes
LLM Stats Score
45.8
#39
-2.7
#364
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 1 for Shieldstral 1.0 (3B)

No common benchmarks found

Mistral Large 4 and Shieldstral 1.0 (3B)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

Model Size

Parameter count comparison

1047.0B diff

Mistral Large 4 has 1047.0B more parameters than Shieldstral 1.0 (3B), making it 34900.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Mistral AI
Shieldstral 1.0 (3B)
3.0Bparameters
1050.0B
Mistral Large 4
3.0B
Shieldstral 1.0 (3B)

Context Window

Maximum input and output token capacity

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

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Mistral AI
Shieldstral 1.0 (3B)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Shieldstral 1.0 (3B) support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Shieldstral 1.0 (3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Shieldstral 1.0 (3B) uses Apache 2.0.

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

Mistral Large 4

Proprietary

Closed source

Shieldstral 1.0 (3B)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Shieldstral 1.0 (3B) was released on 2026-08-04.

Mistral Large 4 is 2 months newer than Shieldstral 1.0 (3B).

Mistral Large 4

Oct 6, 2026

1 weeks ago

2mo newer
Shieldstral 1.0 (3B)

Aug 4, 2026

2 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 Mistral Large 4 and Shieldstral 1.0 (3B) side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Shieldstral 1.0 (3B)
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Shieldstral 1.0 (3B).

Which is better, Mistral Large 4 or Shieldstral 1.0 (3B)?

Mistral Large 4 leads the LLM Stats Score 45.8 to -2.7. Mistral Large 4 is made by Mistral AI and Shieldstral 1.0 (3B) 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 Mistral Large 4 compare to Shieldstral 1.0 (3B) in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Shieldstral 1.0 (3B) scores XSTest: 94.6%.

What are the context window sizes for Mistral Large 4 and Shieldstral 1.0 (3B)?

Mistral Large 4 supports 1.0M tokens and Shieldstral 1.0 (3B) 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 Mistral Large 4 and Shieldstral 1.0 (3B)?

Key differences include LLM Stats Score (45.8 vs -2.7), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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