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Gemini 4 Argon vs Phi-4-multimodal-instruct

Gemini 4 Argon leads the LLM Stats Score 55.1 to 2.8.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 2.8, ranking #4 overall.

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

Choose Gemini 4 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Phi-4-multimodal-instruct

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
55.1
#4
2.8
#328
Reasoning
52.4
#7
-0.2
#336
Cost, coverage & limits
Benchmark wins
—
—
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
Gemini 4 Argon
Phi-4-multimodal-instruct
Vision
36.8#8
1.6#182
Multimodal
36.9#8
3.5#152
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Gemini 4 Argon and Phi-4-multimodal-instructdon'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

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
Gemini 4 Argon
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Phi-4-multimodal-instruct support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Phi-4-multimodal-instruct uses MIT.

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

Gemini 4 Argon

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Phi-4-multimodal-instruct was released on 2025-02-01.

Gemini 4 Argon is 20 months newer than Phi-4-multimodal-instruct.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1.7yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Gemini 4 Argon's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

Phi-4-multimodal-instruct

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Gemini 4 Argon
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Phi-4-multimodal-instruct.

Which is better, Gemini 4 Argon or Phi-4-multimodal-instruct?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 2.8. Gemini 4 Argon 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 Gemini 4 Argon compare to Phi-4-multimodal-instruct in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. 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 Gemini 4 Argon and Phi-4-multimodal-instruct?

Gemini 4 Argon 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 Gemini 4 Argon and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (55.1 vs 2.8), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Phi-4-multimodal-instruct?

Gemini 4 Argon is developed by Google and Phi-4-multimodal-instruct is developed by Microsoft.

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