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Grok 4.7 vs Phi-3.5-MoE-instruct

Grok 4.7 leads the LLM Stats Score 48.5 to 1.9.

xAI · Microsoft · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 1.9, ranking #23 overall.

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

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Phi-3.5-MoE-instruct

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

At a glance

The differences that matter most.

Grok 4.7
xAI
Phi-3.5-MoE-instruct
Microsoft
Core performance indexes
LLM Stats Score
48.5
#23
1.9
#321
Reasoning
37.4
#69
1.4
#314
Coding
40.1
#13
-3.8
#257
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000
—

Individual benchmarks

23 reported for Grok 4.7 · 31 for Phi-3.5-MoE-instruct

No common benchmarks found

Grok 4.7 and Phi-3.5-MoE-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 Grok 4.7 specifies input context (500,000 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.7

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Phi-3.5-MoE-instruct uses MIT.

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

Grok 4.7

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Grok 4.7 is 25 months newer than Phi-3.5-MoE-instruct.

Grok 4.7

Sep 21, 2026

1 days ago

2.1yr newer
Phi-3.5-MoE-instruct

Aug 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Phi-3.5-MoE-instruct's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.

Grok 4.7

Jun 2026

Phi-3.5-MoE-instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about Grok 4.7 vs Phi-3.5-MoE-instruct.

Which is better, Grok 4.7 or Phi-3.5-MoE-instruct?

Grok 4.7 leads the LLM Stats Score 48.5 to 1.9. Grok 4.7 is made by xAI and Phi-3.5-MoE-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 4.7 compare to Phi-3.5-MoE-instruct in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for Grok 4.7 and Phi-3.5-MoE-instruct?

Grok 4.7 supports 500K tokens and Phi-3.5-MoE-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok 4.7 and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (48.5 vs 1.9), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Phi-3.5-MoE-instruct?

Grok 4.7 is developed by xAI and Phi-3.5-MoE-instruct is developed by Microsoft.

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