Model Comparison

DeepSeek-V3.1 vs Phi 4

DeepSeek-V3.1 significantly outperforms across most benchmarks. Phi 4 is 5.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.1 outperforms in 3 benchmarks (GPQA, MMLU-Pro, SimpleQA), while Phi 4 is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Wed Apr 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 3.9x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 7.1x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than Phi 4.*

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

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

656.3B diff

DeepSeek-V3.1 has 656.3B more parameters than Phi 4, making it 4464.6% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Microsoft
Phi 4
14.7Bparameters
671.0B
DeepSeek-V3.1
14.7B
Phi 4

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to Phi 4's 16,000 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Phi 4 is limited to 16,000 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Wed Apr 29 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-V3.1

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Phi 4 was released on 2024-12-12.

DeepSeek-V3.1 is 1 month newer than Phi 4.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

4w newer
Phi 4

Dec 12, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

Phi 4

Jun 2024

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Phi 4 is available from DeepInfra.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (74.9% vs 56.1%)
Higher MMLU-Pro score (83.7% vs 70.4%)
Higher SimpleQA score (93.4% vs 3.0%)
Microsoft
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Microsoft
Phi 4

FAQ

Common questions about DeepSeek-V3.1 vs Phi 4

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
Phi 4 is 3.9x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.
DeepSeek-V3.1 supports 164K tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 16K), input pricing ($0.27 vs $0.07/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and Phi 4 is developed by Microsoft.