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GPT-4 Turbo vs Phi-3.5-MoE-instruct

GPT-4 Turbo leads the LLM Stats Score 9.0 to 1.9.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-4 Turbo leads the overall LLM Stats Score 9.0 to 1.9, ranking #269 overall.

In the 5 individual benchmarks reported for both models, GPT-4 Turbo wins 5; 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 GPT-4 Turbo

  • overall performance matters — it scores 9.0 and ranks #269 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

Choose Phi-3.5-MoE-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
9.0
#269
1.9
#317
9.2
#265
1.4
#310
7.2
#185
-3.8
#253
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$10.00 / M
— / M
Output price
$30.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4 Turbo
Phi-3.5-MoE-instruct
17.2#197
4.3#284
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GPT-4 Turbo · 31 for Phi-3.5-MoE-instruct

5 shared

GPT-4 Turbo outperforms in 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU), while Phi-3.5-MoE-instruct is better at 0 benchmarks.

GPT-4 Turbo significantly outperforms across most benchmarks.

Tue Sep 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo 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.

GPT-4 Turbo

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 5 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

2.1 years ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Phi-3.5-MoE-instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Phi-3.5-MoE-instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about GPT-4 Turbo vs Phi-3.5-MoE-instruct.

Which is better, GPT-4 Turbo or Phi-3.5-MoE-instruct?

GPT-4 Turbo leads the LLM Stats Score 9.0 to 1.9. GPT-4 Turbo is made by OpenAI 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 GPT-4 Turbo compare to Phi-3.5-MoE-instruct in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. 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 GPT-4 Turbo and Phi-3.5-MoE-instruct?

GPT-4 Turbo supports 128K 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 GPT-4 Turbo and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (9.0 vs 1.9), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Phi-3.5-MoE-instruct?

GPT-4 Turbo is developed by OpenAI and Phi-3.5-MoE-instruct is developed by Microsoft.