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Model Comparison

DeepSeek R1 Distill Llama 70B vs Phi 4

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. Phi 4 is 2.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Fri Apr 24 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

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$0.05 /min all-in7 lines of code

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 1.4x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.9x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Phi 4.*

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

Lowest available price from all providers
Fri Apr 24 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
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

55.9B diff

DeepSeek R1 Distill Llama 70B has 55.9B more parameters than Phi 4, making it 380.3% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Microsoft
Phi 4
14.7Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
14.7B
Phi 4

Context Window

Maximum input and output token capacity

DeepSeek R1 Distill Llama 70B accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Fri Apr 24 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

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Phi 4 was released on 2024-12-12.

DeepSeek R1 Distill Llama 70B is 1 month newer than Phi 4.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

1mo 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 R1 Distill Llama 70B'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 R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

Phi 4

Jun 2024

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Phi 4 is available from DeepInfra.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Phi 4

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (128,000 tokens)
Higher GPQA score (65.2% vs 56.1%)
Microsoft
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B 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 R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
Phi 4 is 1.4x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.
DeepSeek R1 Distill Llama 70B supports 128K 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 (128K vs 16K), input pricing ($0.10 vs $0.07/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Phi 4 is developed by Microsoft.