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DeepSeek R1 Distill Llama 8B vs Phi-3.5-vision-instruct

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.2 to -3.1.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B leads the overall LLM Stats Score 7.2 to -3.1, ranking #278 overall.

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

Choose DeepSeek R1 Distill Llama 8B

  • overall performance matters — it scores 7.2 and ranks #278 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Phi-3.5-vision-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Phi-3.5-vision-instruct
Microsoft
Core performance indexes
LLM Stats Score
7.2
#278
-3.1
#331
Reasoning
7.5
#269
-4.5
#328
Cost, coverage & limits
Benchmark wins
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—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 9 for Phi-3.5-vision-instruct

No common benchmarks found

DeepSeek R1 Distill Llama 8B and Phi-3.5-vision-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

3.8B diff

DeepSeek R1 Distill Llama 8B has 3.8B more parameters than Phi-3.5-vision-instruct, making it 91.2% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
4.2B
Phi-3.5-vision-instruct

Input capabilities

Documented input modalities across available providers

Phi-3.5-vision-instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

Phi-3.5-vision-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 8B

MIT

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Phi-3.5-vision-instruct was released on 2024-08-23.

DeepSeek R1 Distill Llama 8B is 5 months newer than Phi-3.5-vision-instruct.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

5mo newer
Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 8B and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Phi-3.5-vision-instruct.

Which is better, DeepSeek R1 Distill Llama 8B or Phi-3.5-vision-instruct?

DeepSeek R1 Distill Llama 8B leads the LLM Stats Score 7.2 to -3.1. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Phi-3.5-vision-instruct 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 8B compare to Phi-3.5-vision-instruct in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the main differences between DeepSeek R1 Distill Llama 8B and Phi-3.5-vision-instruct?

Key differences include LLM Stats Score (7.2 vs -3.1), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Phi-3.5-vision-instruct?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Phi-3.5-vision-instruct is developed by Microsoft.

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