DeepSeek-V3 0324 vs Phi-3.5-mini-instruct Comparison

Comparing DeepSeek-V3 0324 and Phi-3.5-mini-instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi-3.5-mini-instruct is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-3.5-mini-instruct costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 11.4x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than Phi-3.5-mini-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Microsoft
Phi-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
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Model Size

Parameter count comparison

667.2B diff

DeepSeek-V3 0324 has 667.2B more parameters than Phi-3.5-mini-instruct, making it 17557.9% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
671.0B
DeepSeek-V3 0324
3.8B
Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Phi-3.5-mini-instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Phi-3.5-mini-instruct uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Phi-3.5-mini-instruct was released on 2024-08-23.

DeepSeek-V3 0324 is 7 months newer than Phi-3.5-mini-instruct.

DeepSeek-V3 0324

Mar 25, 2025

11 months ago

7mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.6 years ago

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

Provider Availability

DeepSeek-V3 0324 is available from Novita. Phi-3.5-mini-instruct is available from Azure. The availability of providers can affect quality of the model and reliability.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

Phi-3.5-mini-instruct

azure logo
Azure
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (163,840 tokens)
Higher GPQA score (68.4% vs 30.4%)
Higher MMLU-Pro score (81.2% vs 47.4%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Microsoft
Phi-3.5-mini-instruct