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Grok-1.5V vs Phi-4-multimodal-instruct

Grok-1.5V and Phi-4-multimodal-instruct are closely matched at -1.2 and 2.3 on the LLM Stats Score.

xAI · Microsoft · Updated for 2026

Which is better?

Grok-1.5V and Phi-4-multimodal-instruct are closely matched on the overall LLM Stats Score at -1.2 and 2.3.

In the 6 individual benchmarks reported for both models, Phi-4-multimodal-instruct wins 4; 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 Grok-1.5V

  • you are already invested in the xAI ecosystem

Choose Phi-4-multimodal-instruct

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results
  • you want the most recent training data — it shipped Feb 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-1.2
#358
2.3
#338
-0.5
#344
-0.6
#346
Cost, coverage & limits
Benchmark wins
2 of 6
4 of 6
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
Grok-1.5V
Phi-4-multimodal-instruct
-1.8#208
1.5#192
0.5#171
3.5#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for Grok-1.5V · 15 for Phi-4-multimodal-instruct

6 shared

Grok-1.5V outperforms in 2 benchmarks (AI2D, TextVQA), while Phi-4-multimodal-instruct is better at 4 benchmarks (ChartQA, DocVQA, MathVista, MMMU).

Phi-4-multimodal-instruct shows notably better performance in the majority of benchmarks.

Fri Oct 23 2026 • llm-stats.com

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).

xAI
Grok-1.5V
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Grok-1.5V and Phi-4-multimodal-instruct support multimodal inputs.

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

Grok-1.5V

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5V 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.

Grok-1.5V

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Grok-1.5V was released on 2024-04-12, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 10 months newer than Grok-1.5V.

Grok-1.5V

Apr 12, 2024

2.5 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

9mo newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Grok-1.5V'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 Grok-1.5V's cutoff date.

Grok-1.5V

—

Phi-4-multimodal-instruct

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Grok-1.5V and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Grok-1.5V
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Grok-1.5V vs Phi-4-multimodal-instruct.

Which is better, Grok-1.5V or Phi-4-multimodal-instruct?

Grok-1.5V and Phi-4-multimodal-instruct are closely matched on the LLM Stats Score at -1.2 and 2.3. Grok-1.5V is made by xAI 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 Grok-1.5V compare to Phi-4-multimodal-instruct in benchmarks?

Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%. 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 Grok-1.5V and Phi-4-multimodal-instruct?

Grok-1.5V 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 Grok-1.5V and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (-1.2 vs 2.3), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5V and Phi-4-multimodal-instruct?

Grok-1.5V is developed by xAI and Phi-4-multimodal-instruct is developed by Microsoft.