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MedGemma 4B IT vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 45.8 to -4.8.

Google · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to -4.8, ranking #39 overall.

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

Choose MedGemma 4B IT

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

Choose Mistral Large 4

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

At a glance

The differences that matter most.

Core performance indexes
-4.8
#374
45.8
#39
-5.2
#370
43.9
#48
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
MedGemma 4B IT
Mistral Large 4
-6.8#224
1.4#193
-5.5#183
2.0#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for MedGemma 4B IT · 18 for Mistral Large 4

No common benchmarks found

MedGemma 4B IT 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

1045.7B diff

Mistral Large 4 has 1045.7B more parameters than MedGemma 4B IT, making it 24318.6% larger.

Google
MedGemma 4B IT
4.3Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
4.3B
MedGemma 4B IT
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
MedGemma 4B IT
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MedGemma 4B IT and Mistral Large 4 support multimodal inputs.

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

MedGemma 4B IT

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

MedGemma 4B IT is licensed under Health AI Developer Foundations terms of use, while Mistral Large 4 uses a proprietary license.

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

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

MedGemma 4B IT was released on 2025-05-20, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 17 months newer than MedGemma 4B IT.

MedGemma 4B IT

May 20, 2025

1.4 years ago

Mistral Large 4

Oct 6, 2026

2 weeks ago

1.4yr newer

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 MedGemma 4B IT and Mistral Large 4 side-by-side, then vote on the output you prefer.

MedGemma 4B IT
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about MedGemma 4B IT vs Mistral Large 4.

Which is better, MedGemma 4B IT or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 45.8 to -4.8. MedGemma 4B IT 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 MedGemma 4B IT compare to Mistral Large 4 in benchmarks?

MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%. 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 MedGemma 4B IT and Mistral Large 4?

MedGemma 4B IT 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 MedGemma 4B IT and Mistral Large 4?

Key differences include LLM Stats Score (-4.8 vs 45.8), licensing (Health AI Developer Foundations terms of use vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes MedGemma 4B IT and Mistral Large 4?

MedGemma 4B IT is developed by Google and Mistral Large 4 is developed by Mistral AI.