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Grok-1.5 vs Phi-3.5-vision-instruct

Grok-1.5 and Phi-3.5-vision-instruct are closely matched at -2.5 and -3.2 on the LLM Stats Score.

xAI · Microsoft · Updated for 2026

Which is better?

Grok-1.5 and Phi-3.5-vision-instruct are closely matched on the overall LLM Stats Score at -2.5 and -3.2.

In the 2 individual benchmarks reported for both models, Grok-1.5 wins 2; 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-1.5

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Phi-3.5-vision-instruct

  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-2.5
#328
-3.2
#332
-2.0
#318
-4.6
#329
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Grok-1.5
Phi-3.5-vision-instruct
-4.8#197
-3.1#190
-2.2#156
-0.6#151
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Grok-1.5 · 9 for Phi-3.5-vision-instruct

2 shared

Grok-1.5 outperforms in 2 benchmarks (MathVista, MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.

Grok-1.5 significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Phi-3.5-vision-instruct supports multimodal inputs, whereas Grok-1.5 does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-1.5

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, while Phi-3.5-vision-instruct uses MIT.

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

Grok-1.5

Proprietary

Closed source

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Phi-3.5-vision-instruct was released on 2024-08-23.

Phi-3.5-vision-instruct is 5 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.4 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok-1.5 and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

Grok-1.5
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about Grok-1.5 vs Phi-3.5-vision-instruct.

Which is better, Grok-1.5 or Phi-3.5-vision-instruct?

Grok-1.5 and Phi-3.5-vision-instruct are closely matched on the LLM Stats Score at -2.5 and -3.2. Grok-1.5 is made by xAI and Phi-3.5-vision-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-1.5 compare to Phi-3.5-vision-instruct in benchmarks?

Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the main differences between Grok-1.5 and Phi-3.5-vision-instruct?

Key differences include LLM Stats Score (-2.5 vs -3.2), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5 and Phi-3.5-vision-instruct?

Grok-1.5 is developed by xAI and Phi-3.5-vision-instruct is developed by Microsoft.