The AI arena is free today

Open Superagent

Beam 1.0 vs MedGemma 4B IT

Beam 1.0 leads the LLM Stats Score 44.6 to -4.8.

Reflection AI · Google · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to -4.8, ranking #46 overall.

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

Choose Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose MedGemma 4B IT

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.6
#46
-4.8
#374
45.5
#37
-5.2
#370
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Beam 1.0
MedGemma 4B IT
15.9#105
-6.8#224
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 7 for MedGemma 4B IT

No common benchmarks found

Beam 1.0 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

497.0B diff

Beam 1.0 has 497.0B more parameters than MedGemma 4B IT, making it 11558.1% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Google
MedGemma 4B IT
4.3Bparameters
501.3B
Beam 1.0
4.3B
MedGemma 4B IT

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Google
MedGemma 4B IT
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

MedGemma 4B IT supports multimodal inputs, whereas Beam 1.0 does not.

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

Beam 1.0

Text
Images
Audio
Video

MedGemma 4B IT

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, 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.

Beam 1.0

Apache 2.0

Open weights

MedGemma 4B IT

Health AI Developer Foundations terms of use

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while MedGemma 4B IT was released on 2025-05-20.

Beam 1.0 is 17 months newer than MedGemma 4B IT.

Beam 1.0

Oct 16, 2026

6 days ago

1.4yr newer
MedGemma 4B IT

May 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while MedGemma 4B IT's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without MedGemma 4B IT's cutoff date.

Beam 1.0

Jun 2026

MedGemma 4B IT

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and MedGemma 4B IT side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
MedGemma 4B IT
Open in Playground

FAQ

Common questions about Beam 1.0 vs MedGemma 4B IT.

Which is better, Beam 1.0 or MedGemma 4B IT?

Beam 1.0 leads the LLM Stats Score 44.6 to -4.8. Beam 1.0 is made by Reflection AI 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 Beam 1.0 compare to MedGemma 4B IT in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. 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 Beam 1.0 and MedGemma 4B IT?

Beam 1.0 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 Beam 1.0 and MedGemma 4B IT?

Key differences include LLM Stats Score (44.6 vs -4.8), multimodal support (no vs yes), licensing (Apache 2.0 vs Health AI Developer Foundations terms of use). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and MedGemma 4B IT?

Beam 1.0 is developed by Reflection AI and MedGemma 4B IT is developed by Google.