Model Comparison

DeepSeek R1 Distill Llama 70B vs Phi 4 Reasoning Plus

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Phi 4 Reasoning Plus is better at 1 benchmark (GPQA).

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks.

Thu Apr 23 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

Done comparing? Ship the phone agent.

One API for outbound and inbound calls.

$0.05 /min all-in7 lines of code

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 23 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Microsoft
Phi 4 Reasoning Plus
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

56.6B diff

DeepSeek R1 Distill Llama 70B has 56.6B more parameters than Phi 4 Reasoning Plus, making it 404.3% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Microsoft
Phi 4 Reasoning Plus
14.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
14.0B
Phi 4 Reasoning Plus

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 Reasoning Plus
Input- tokens
Output- tokens
Thu Apr 23 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 Reasoning Plus

MIT

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

Phi 4 Reasoning Plus

Apr 30, 2025

11 months ago

3mo newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning Plus has a documented knowledge cutoff of 2025-03-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm Phi 4 Reasoning Plus's training data extends to 2025-03-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

Phi 4 Reasoning Plus

Mar 2025

Outputs Comparison

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Key Takeaways

Larger context window (128,000 tokens)
Higher AIME 2024 score (86.7% vs 81.3%)
Higher LiveCodeBench score (57.5% vs 53.1%)
Higher GPQA score (68.9% vs 65.2%)

Detailed Comparison

FAQ

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

DeepSeek R1 Distill Llama 70B shows notably better performance in the majority of benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Phi 4 Reasoning Plus 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 Reasoning Plus scores FlenQA: 97.9%, HumanEval+: 92.3%, IFEval: 84.9%, OmniMath: 81.9%, AIME 2024: 81.3%.
DeepSeek R1 Distill Llama 70B supports 128K tokens and Phi 4 Reasoning Plus 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 Reasoning Plus is developed by Microsoft.