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DeepSeek R1 Distill Llama 70B vs Phi 4 Mini Reasoning

DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning are closely matched at 14.5 and 7.2 on the LLM Stats Score.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning are closely matched on the overall LLM Stats Score at 14.5 and 7.2.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 70B

  • you want predictable pricing at $0.10/M input and $0.40/M output

Choose Phi 4 Mini Reasoning

  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
14.5
#241
7.2
#295
14.7
#234
7.5
#286
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 3 for Phi 4 Mini Reasoning

2 shared

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.

Sat Sep 26 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Sat Sep 26 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

1.7 years ago

Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years 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→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

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

Which is better, DeepSeek R1 Distill Llama 70B or Phi 4 Mini Reasoning?

DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning are closely matched on the LLM Stats Score at 14.5 and 7.2. 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 capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 70B compare to Phi 4 Mini Reasoning in benchmarks?

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%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning?

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.

What are the main differences between DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (14.5 vs 7.2). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Phi 4 Mini Reasoning?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.