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swap_horiz Phi-3.5-MoE Alternatives

Looking for alternatives to Phi-3.5-MoE? Compare the top Model options ranked by our AI scoring system.

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Phi-3.5-MoE

Phi-3.5-MoE

Phi-3.5-MoE is a mixture-of-experts large language model released by Microsoft in August 2024 as part of the Phi-3.5 family. The architecture uses 16 expert modules with 3.8 billion parameters each, of which 2 are activated per token, yielding 6.6 billion active parameters within a total of 42 billi...

7.9 Good

apps Top Phi-3.5-MoE Alternatives

The top alternative to Phi-3.5-MoE in 2026 is DeepSeek-V3 with a score of 9.0/10, followed by Llama 3.1 405B (8.9) and Gemini 2.5 Flash (8.7).

1
DeepSeek-V3

DeepSeek-V3

DeepSeek-V3 is a large language model released by the Chinese AI company DeepSeek in late 2024. It is built as a Mixture...

Deepseek 2024 LLM Moe
9.0 Excellent
2
Llama 3.1 405B

Llama 3.1 405B

Llama 3.1 405B is a large language model released by Meta in 2024, serving as the flagship of the Llama 3.1 collection....

Meta Large 2024 LLM
8.9 Great
3
Gemini 2.5 Flash

Gemini 2.5 Flash

Google DeepMind's cost-efficient Gemini 2.5 model released in 2025, balancing reasoning capability and speed for high-vo...

Google Multimodal Efficient 2025
8.7 Great
4
Gemma 2

Gemma 2

Gemma 2 is Google's second generation family of open-weight language models, introduced in 2024. It was released in 2-bi...

Google Efficient 2024 LLM
8.3 Great
5
Phi-4

Phi-4

Phi-4 is a 14-billion-parameter language model introduced by Microsoft in late 2024 as part of the Phi family of small l...

Microsoft Reasoning Small 2024
8.3 Great
6
o1-mini

o1-mini

o1-mini is a large language model released by OpenAI in 2024 as part of the o1 family of reasoning-focused models. It is...

Openai Reasoning Efficient 2024
8.2 Great
7
Claude 3.5 Haiku

Claude 3.5 Haiku

Claude 3.5 Haiku is a large language model released by Anthropic in 2024 as part of the Claude 3.5 model family, which a...

Chat Anthropic Efficient 2024
8.2 Great
8
WizardLM 2

WizardLM 2

WizardLM 2 is a series of open-weight, instruction-tuned large language models developed by Microsoft and released in 20...

Microsoft 2024 LLM Instruction Tuned
8.2 Great
9
DBRX

DBRX

DBRX is an open-weight mixture-of-experts (MoE) language model released by Databricks in March 2024. It has 132 billion...

2024 LLM Moe Databricks
8.2 Great
10
GPT-4o mini

GPT-4o mini

GPT-4o mini is a multimodal language model released by OpenAI in July 2024 as a more cost-efficient alternative to the f...

Openai Chat Efficient 2024
8.1 Great
11
Gemini 1.5 Flash

Gemini 1.5 Flash

Gemini 1.5 Flash is a highly efficient multimodal large language model developed by Google DeepMind and released in 2024...

Google Multimodal Efficient 2024
8.1 Great
12
Jamba 1.5

Jamba 1.5

Jamba 1.5 is a hybrid large language model developed by AI21 Labs in 2024 that combines Mamba state-space architecture l...

Efficient 2024 LLM AI21 Labs
8.1 Great
13
Phi-3.5

Phi-3.5

Phi-3.5 is a family of compact artificial intelligence models introduced by Microsoft in 2024. The family includes Phi-3...

Microsoft Small Efficient 2024
8.0 Great
14
Claude 3 Haiku

Claude 3 Haiku

Claude 3 Haiku is a large language model developed by Anthropic, released in 2024 as part of the Claude 3 model family....

Fast Anthropic Efficient 2024
7.9 Good
15
Phi-2

Phi-2

Phi-2 is a 2.7-billion-parameter transformer language model developed by Microsoft, released in December 2023. It was tr...

Microsoft Small Efficient 2023
7.8 Good
16
Mistral Small

Mistral Small

Mistral Small is a large language model developed by the French AI company Mistral AI, optimized to provide high perform...

Balanced Efficient 2024 LLM
7.7 Good
17
Nova Lite

Nova Lite

Amazon Nova Lite is a multimodal artificial intelligence model introduced by AWS in 2024 as part of the Nova family of f...

Amazon Multimodal Efficient 2024
7.7 Good
18
Retentive Network

Retentive Network

Retentive Network (RetNet) is a large language model architecture introduced by Microsoft researchers in 2023. It propos...

Microsoft Efficient 2023 LLM
7.7 Good
19
RecurrentGemma

RecurrentGemma

RecurrentGemma is an open large language model developed by Google DeepMind and released in 2024. It is built upon the G...

Google Efficient 2024 LLM
7.4 Good
20
Nemotron-Mini 4B

Nemotron-Mini 4B

Nemotron-Mini 4B is a compact large language model developed by NVIDIA and released in 2024. Featuring 4 billion paramet...

Nvidia Small Efficient 2024
7.3 Good

summarize Quick Comparison Summary

Alternative Score vs Phi-3.5-MoE Action
DeepSeek-V3
DeepSeek-V3
Model Deepseek 2024 LLM
9.0 Excellent +1.1 Compare
Llama 3.1 405B
Llama 3.1 405B
Model Meta Large 2024
8.9 Great +1.0 Compare
Gemini 2.5 Flash
Gemini 2.5 Flash
Model Google Multimodal Efficient
8.7 Great +0.8 Compare
Gemma 2
Gemma 2
Model Google Efficient 2024
8.3 Great +0.4 Compare
Phi-4
Phi-4
Model Microsoft Reasoning Small
8.3 Great +0.4 Compare
o1-mini
o1-mini
Model Openai Reasoning Efficient
8.2 Great +0.3 Compare
Claude 3.5 Haiku
Claude 3.5 Haiku
Model Chat Anthropic Efficient
8.2 Great +0.3 Compare
WizardLM 2
WizardLM 2
Model Microsoft 2024 LLM
8.2 Great +0.3 Compare
DBRX
DBRX
Model 2024 LLM Moe
8.2 Great +0.3 Compare
GPT-4o mini
GPT-4o mini
Model Openai Chat Efficient
8.1 Great +0.2 Compare

See all Model ranked by score

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help Frequently Asked Questions

What are the best alternatives to Phi-3.5-MoE?
The top alternatives to Phi-3.5-MoE in 2026 include DeepSeek-V3, Llama 3.1 405B, Gemini 2.5 Flash, Gemma 2, Phi-4. Each offers unique features and is objectively scored on Lunoo to help you compare.
How does Phi-3.5-MoE compare to its competitors?
Our AI-powered comparison system analyzes features, pricing, user reviews, and expert opinions to provide objective scores. Phi-3.5-MoE scores 7.9/10. Click any alternative above to see a detailed side-by-side comparison.
Is Phi-3.5-MoE worth it in 2026?
Phi-3.5-MoE scores 7.9/10 in the Model category. We recommend comparing it with the 20 alternatives listed above to find the best fit for your needs.
What is the best free alternative to Phi-3.5-MoE?
Several alternatives to Phi-3.5-MoE offer free plans or free tiers. Check the alternatives listed above and visit their websites to compare pricing and free options.
Why should I switch from Phi-3.5-MoE?
Common reasons users look for Phi-3.5-MoE alternatives include pricing, specific feature gaps, better integration needs, or simply exploring newer options. Our objective scoring helps you compare without bias.
How many alternatives to Phi-3.5-MoE are there?
Lunoo currently lists 20 scored alternatives to Phi-3.5-MoE in the Model category, ranked by our AI-powered evaluation system.
Which Phi-3.5-MoE alternative has the highest rating?
DeepSeek-V3 currently holds the highest rating among Phi-3.5-MoE alternatives with a score of 9.0/10.
Can I use DeepSeek-V3 instead of Phi-3.5-MoE?
DeepSeek-V3 is one of the top-rated alternatives to Phi-3.5-MoE. While they serve similar purposes in the Model space, each has distinct strengths. Use our comparison tool above for a detailed side-by-side analysis.
What is the cheapest alternative to Phi-3.5-MoE?
Pricing varies among Phi-3.5-MoE alternatives. We recommend checking each alternative's website for current pricing. Many options in the Model category offer free tiers or competitive pricing.
How are Phi-3.5-MoE alternatives ranked on Lunoo?
Lunoo uses an AI-powered scoring system that analyzes category fit, feature coverage, pricing signals, public reception, recency, and value to provide 0 to 10 scores. Rankings are updated continuously.
Phi-3.5-MoE vs DeepSeek-V3: which is better?
Phi-3.5-MoE scores 7.9/10 while DeepSeek-V3 scores 9.0/10 on Lunoo. The best choice depends on your specific needs. Use our detailed comparison tool for a full breakdown.
Phi-3.5-MoE vs Llama 3.1 405B: which is better?
Phi-3.5-MoE scores 7.9/10 while Llama 3.1 405B scores 8.9/10 on Lunoo. The best choice depends on your specific needs. Use our detailed comparison tool for a full breakdown.
Phi-3.5-MoE vs Gemini 2.5 Flash: which is better?
Phi-3.5-MoE scores 7.9/10 while Gemini 2.5 Flash scores 8.7/10 on Lunoo. The best choice depends on your specific needs. Use our detailed comparison tool for a full breakdown.

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