The AI arena is free today

Open Superagent

Gemini 1.5 Flash 8B vs Phi-3.5-MoE-instruct

Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct are closely matched at -0.6 and 2.0 on the LLM Stats Score.

Google · Microsoft · Updated for 2026

Which is better?

Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct are closely matched on the overall LLM Stats Score at -0.6 and 2.0.

In the 3 individual benchmarks reported for both models, Gemini 1.5 Flash 8B 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 Gemini 1.5 Flash 8B

  • you value its reported benchmark strengths — it wins 2 of 3 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
-0.6
#314
2.0
#301
-0.2
#304
1.5
#295
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.07 / M
— / M
Output price
$0.30 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Flash 8B
Phi-3.5-MoE-instruct
2.7#282
4.7#272
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 31 for Phi-3.5-MoE-instruct

3 shared

Gemini 1.5 Flash 8B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi-3.5-MoE-instruct is better at 1 benchmark (MATH).

Gemini 1.5 Flash 8B shows notably better performance in the majority of benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

52.0B diff

Phi-3.5-MoE-instruct has 52.0B more parameters than Gemini 1.5 Flash 8B, making it 650.0% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
8.0B
Gemini 1.5 Flash 8B
60.0B
Phi-3.5-MoE-instruct

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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.

Gemini 1.5 Flash 8B

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 5 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.5 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Phi-3.5-MoE-instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Phi-3.5-MoE-instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs Phi-3.5-MoE-instruct.

Which is better, Gemini 1.5 Flash 8B or Phi-3.5-MoE-instruct?

Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct are closely matched on the LLM Stats Score at -0.6 and 2.0. Gemini 1.5 Flash 8B 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 Gemini 1.5 Flash 8B compare to Phi-3.5-MoE-instruct in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct?

Gemini 1.5 Flash 8B supports 1.0M 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 Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (-0.6 vs 2.0), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Phi-3.5-MoE-instruct?

Gemini 1.5 Flash 8B is developed by Google and Phi-3.5-MoE-instruct is developed by Microsoft.