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Gemini 4 Carbon vs Phi-4-multimodal-instruct

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 2.3.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 2.3, ranking #2 overall.

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

Choose Gemini 4 Carbon

  • overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 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 Carbon
Google
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
59.0
#2
2.3
#348
Reasoning
54.9
#5
-0.6
#357
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 Carbon
Phi-4-multimodal-instruct
Vision
36.0#12
1.5#199
Multimodal
38.0#6
3.4#163
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 4 Carbon · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Gemini 4 Carbon 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 Carbon
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemini 4 Carbon

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon 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 Carbon

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while Phi-4-multimodal-instruct was released on 2025-02-01.

Gemini 4 Carbon is 21 months newer than Phi-4-multimodal-instruct.

Gemini 4 Carbon

Oct 28, 2026

2 days 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 Carbon'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 Carbon's cutoff date.

Gemini 4 Carbon

—

Phi-4-multimodal-instruct

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 2.3. Gemini 4 Carbon 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 Carbon compare to Phi-4-multimodal-instruct in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. 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 Carbon and Phi-4-multimodal-instruct?

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

Key differences include LLM Stats Score (59.0 vs 2.3), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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

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