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Gemma 2 27B vs Phi-3.5-MoE-instruct

Gemma 2 27B and Phi-3.5-MoE-instruct are closely matched at -0.7 and 1.9 on the LLM Stats Score.

Google · Microsoft · Updated for 2026

Which is better?

Gemma 2 27B and Phi-3.5-MoE-instruct are closely matched on the overall LLM Stats Score at -0.7 and 1.9.

In the 11 individual benchmarks reported for both models, Phi-3.5-MoE-instruct wins 8; 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 Gemma 2 27B

  • you are already invested in the Google ecosystem

Choose Phi-3.5-MoE-instruct

  • you value its reported benchmark strengths — it wins 8 of 11 exact shared results
  • you want the most recent training data — it shipped Aug 2024

At a glance

The differences that matter most.

Core performance indexes
-0.7
#329
1.9
#317
-1.1
#325
1.4
#310
-7.9
#262
-3.8
#253
Cost, coverage & limits
Benchmark wins
3 of 11
8 of 11
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 2 27B
Phi-3.5-MoE-instruct
-0.7#297
4.3#284
1.9#172
4.3#165
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 31 for Phi-3.5-MoE-instruct

11 shared

Gemma 2 27B outperforms in 3 benchmarks (BoolQ, HellaSwag, Winogrande), while Phi-3.5-MoE-instruct is better at 8 benchmarks (ARC-C, GSM8k, HumanEval, MATH, MBPP, MMLU, PIQA, Social IQa).

Phi-3.5-MoE-instruct shows notably better performance in the majority of benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

32.8B diff

Phi-3.5-MoE-instruct has 32.8B more parameters than Gemma 2 27B, making it 120.6% larger.

Google
Gemma 2 27B
27.2Bparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
27.2B
Gemma 2 27B
60.0B
Phi-3.5-MoE-instruct

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while Phi-3.5-MoE-instruct uses MIT.

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

Gemma 2 27B

Gemma

Open weights

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 2 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

2.1 years ago

1mo 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 Gemma 2 27B and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about Gemma 2 27B vs Phi-3.5-MoE-instruct.

Which is better, Gemma 2 27B or Phi-3.5-MoE-instruct?

Gemma 2 27B and Phi-3.5-MoE-instruct are closely matched on the LLM Stats Score at -0.7 and 1.9. Gemma 2 27B is made by Google 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 Gemma 2 27B compare to Phi-3.5-MoE-instruct in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 main differences between Gemma 2 27B and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (-0.7 vs 1.9), licensing (Gemma vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and Phi-3.5-MoE-instruct?

Gemma 2 27B is developed by Google and Phi-3.5-MoE-instruct is developed by Microsoft.