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

Phi-3.5-MoE-instruct leads the LLM Stats Score 1.9 to -9.4.

OpenAI · Microsoft · Updated for 2026

Which is better?

Phi-3.5-MoE-instruct leads the overall LLM Stats Score 1.9 to -9.4, ranking #324 overall.

In the 5 individual benchmarks reported for both models, Phi-3.5-MoE-instruct 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-3.5 Turbo

  • you want predictable pricing at $0.50/M input and $1.50/M output

Choose Phi-3.5-MoE-instruct

  • overall performance matters — it scores 1.9 and ranks #324 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
  • 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
-9.4
#370
1.9
#324
-8.7
#363
1.4
#317
-4.5
#264
-3.8
#260
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
16,385
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-3.5 Turbo
Phi-3.5-MoE-instruct
-2.3#310
4.3#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for GPT-3.5 Turbo · 31 for Phi-3.5-MoE-instruct

5 shared

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

Phi-3.5-MoE-instruct significantly outperforms across most benchmarks.

Sat Sep 26 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-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Sat Sep 26 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 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-3.5 Turbo

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 17 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

2.1 years ago

1.4yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Phi-3.5-MoE-instruct's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.

GPT-3.5 Turbo

Sep 2021

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-3.5 Turbo and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Phi-3.5-MoE-instruct leads the LLM Stats Score 1.9 to -9.4. GPT-3.5 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-3.5 Turbo compare to Phi-3.5-MoE-instruct in benchmarks?

GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. 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-3.5 Turbo and Phi-3.5-MoE-instruct?

GPT-3.5 Turbo supports 16K 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-3.5 Turbo and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (-9.4 vs 1.9), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

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

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