Model Comparison

DeepSeek R1 Distill Llama 70B vs Phi 4 Mini Reasoning

Both models are evenly matched across the benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 1 benchmark (MATH-500).

Both models are evenly matched across the benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Microsoft
Phi 4 Mini Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

66.8B diff

DeepSeek R1 Distill Llama 70B has 66.8B more parameters than Phi 4 Mini Reasoning, making it 1757.9% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
3.8B
Phi 4 Mini Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Mon Mar 30 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 R1 Distill Llama 70B

MIT

Open weights

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Phi 4 Mini Reasoning was released on 2025-04-30.

Phi 4 Mini Reasoning is 3 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

11 months ago

3mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (128,000 tokens)
Higher GPQA score (65.2% vs 52.0%)
Microsoft
Higher MATH-500 score (94.6% vs 94.5%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
Microsoft
Phi 4 Mini Reasoning

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Phi 4 Mini Reasoning

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Phi 4 Mini Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.
DeepSeek R1 Distill Llama 70B supports 128K tokens and Phi 4 Mini Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.