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DeepSeek-V4.1-Flash vs MedGemma 4B IT

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -4.5.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to -4.5, ranking #13 overall.

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

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #13 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose MedGemma 4B IT

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
MedGemma 4B IT
Google
Core performance indexes
LLM Stats Score
51.8
#13
-4.5
#349
Reasoning
48.9
#18
-5.0
#346
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash
MedGemma 4B IT
Vision
29.5#31
-6.8#202
Multimodal
34.3#13
-5.4#163
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 7 for MedGemma 4B IT

No common benchmarks found

DeepSeek-V4.1-Flash and MedGemma 4B ITdon'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

758.9B diff

DeepSeek-V4.1-Flash has 758.9B more parameters than MedGemma 4B IT, making it 17649.0% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Google
MedGemma 4B IT
4.3Bparameters
763.2B
DeepSeek-V4.1-Flash
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and MedGemma 4B IT support multimodal inputs.

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while MedGemma 4B IT uses Health AI Developer Foundations terms of use.

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

DeepSeek-V4.1-Flash

MIT

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while MedGemma 4B IT was released on 2025-05-20.

DeepSeek-V4.1-Flash is 16 months newer than MedGemma 4B IT.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

1.3yr newer
MedGemma 4B IT

May 20, 2025

1.3 years 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 DeepSeek-V4.1-Flash and MedGemma 4B IT side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs MedGemma 4B IT.

Which is better, DeepSeek-V4.1-Flash or MedGemma 4B IT?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -4.5. DeepSeek-V4.1-Flash is made by DeepSeek and MedGemma 4B IT is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash compare to MedGemma 4B IT in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. MedGemma 4B IT scores MIMIC CXR: 88.9%, DermMCQA: 71.8%, PathMCQA: 69.8%, SlakeVQA: 62.3%, VQA-Rad: 49.9%.

What are the context window sizes for DeepSeek-V4.1-Flash and MedGemma 4B IT?

DeepSeek-V4.1-Flash supports 1.0M tokens and MedGemma 4B IT 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 DeepSeek-V4.1-Flash and MedGemma 4B IT?

Key differences include LLM Stats Score (51.8 vs -4.5), licensing (MIT vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and MedGemma 4B IT?

DeepSeek-V4.1-Flash is developed by DeepSeek and MedGemma 4B IT is developed by Google.

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