DeepSeek R1 Distill Llama 70B vs Phi-4-multimodal-instruct Comparison

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 70B and Phi-4-multimodal-instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 2.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 4.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

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

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

Lowest available price from all providers
Sat Mar 21 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

65.0B diff

DeepSeek R1 Distill Llama 70B has 65.0B more parameters than Phi-4-multimodal-instruct, making it 1160.7% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Sat Mar 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

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-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 0 month newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.1 years ago

1w newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct 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-multimodal-instruct'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-multimodal-instruct

Jun 2024

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Phi-4-multimodal-instruct is available from DeepInfra. The availability of providers can affect quality of the model and reliability.

DeepSeek R1 Distill Llama 70B

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

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison