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Gemma 4 E2B vs Phi-4-multimodal-instruct

Gemma 4 E2B and Phi-4-multimodal-instruct are closely matched at 6.7 and 2.8 on the LLM Stats Score.

Google · Microsoft · Updated for 2026

Which is better?

Gemma 4 E2B and Phi-4-multimodal-instruct are closely matched on the overall LLM Stats Score at 6.7 and 2.8.

In the 1 individual benchmarks reported for both models, Gemma 4 E2B wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemma 4 E2B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Apr 2026

Choose Phi-4-multimodal-instruct

  • you want predictable pricing at $0.05/M input and $0.10/M output

At a glance

The differences that matter most.

Gemma 4 E2B
Google
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
6.7
#294
2.8
#315
Reasoning
5.6
#295
-0.2
#323
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.05 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 4 E2B
Phi-4-multimodal-instruct
Vision
0.7#179
1.6#174
Multimodal
2.9#146
3.6#143
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 4 E2B · 15 for Phi-4-multimodal-instruct

1 shared

Gemma 4 E2B outperforms in 1 benchmarks (MMMU-Pro), while Phi-4-multimodal-instruct is better at 0 benchmarks.

Gemma 4 E2B significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

500.0M diff

Phi-4-multimodal-instruct has 0.5B more parameters than Gemma 4 E2B, making it 9.8% larger.

Google
Gemma 4 E2B
5.1Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
5.1B
Gemma 4 E2B
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

Only Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E2B and Phi-4-multimodal-instruct support multimodal inputs.

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

Gemma 4 E2B

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 4 E2B is licensed under Apache 2.0, while Phi-4-multimodal-instruct uses MIT.

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

Gemma 4 E2B

Apache 2.0

Open weights

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while Phi-4-multimodal-instruct was released on 2025-02-01.

Gemma 4 E2B is 14 months newer than Phi-4-multimodal-instruct.

Gemma 4 E2B

Apr 2, 2026

5 months ago

1.2yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a knowledge cutoff of 2025-01-01, while Phi-4-multimodal-instruct has a cutoff of 2024-06-01.

Gemma 4 E2B has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Phi-4-multimodal-instruct (2024-06-01).

Gemma 4 E2B

Jan 2025

7 mo newer
Phi-4-multimodal-instruct

Jun 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 4 E2B and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Gemma 4 E2B vs Phi-4-multimodal-instruct.

Which is better, Gemma 4 E2B or Phi-4-multimodal-instruct?

Gemma 4 E2B and Phi-4-multimodal-instruct are closely matched on the LLM Stats Score at 6.7 and 2.8. Gemma 4 E2B is made by Google and Phi-4-multimodal-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 4 E2B compare to Phi-4-multimodal-instruct in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

What are the context window sizes for Gemma 4 E2B and Phi-4-multimodal-instruct?

Gemma 4 E2B supports an unknown number of tokens and Phi-4-multimodal-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 E2B and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (6.7 vs 2.8), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and Phi-4-multimodal-instruct?

Gemma 4 E2B is developed by Google and Phi-4-multimodal-instruct is developed by Microsoft.

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