The AI arena is free today

Open Superagent

DeepSeek-V4-Flash-0731 vs MedGemma 4B IT

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to -4.5.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to -4.5, ranking #35 overall.

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

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2026

Choose MedGemma 4B IT

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
MedGemma 4B IT
Google
Core performance indexes
LLM Stats Score
44.7
#35
-4.5
#348
Reasoning
42.3
#45
-5.0
#345
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 7 for MedGemma 4B IT

No common benchmarks found

DeepSeek-V4-Flash-0731 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

299.7B diff

DeepSeek-V4-Flash-0731 has 299.7B more parameters than MedGemma 4B IT, making it 6969.8% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Google
MedGemma 4B IT
4.3Bparameters
304.0B
DeepSeek-V4-Flash-0731
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MedGemma 4B IT supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.

MedGemma 4B IT can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-0731

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Flash-0731 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-Flash-0731

MIT

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while MedGemma 4B IT was released on 2025-05-20.

DeepSeek-V4-Flash-0731 is 15 months newer than MedGemma 4B IT.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1.2yr 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-Flash-0731 and MedGemma 4B IT side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs MedGemma 4B IT.

Which is better, DeepSeek-V4-Flash-0731 or MedGemma 4B IT?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to -4.5. DeepSeek-V4-Flash-0731 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-Flash-0731 compare to MedGemma 4B IT in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. 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-Flash-0731 and MedGemma 4B IT?

DeepSeek-V4-Flash-0731 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-Flash-0731 and MedGemma 4B IT?

Key differences include LLM Stats Score (44.7 vs -4.5), multimodal support (no vs yes), licensing (MIT vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and MedGemma 4B IT?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and MedGemma 4B IT is developed by Google.

Related comparisons