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DeepSeek VL2 Small vs Llama 3.2 90B Instruct

DeepSeek VL2 Small and Llama 3.2 90B Instruct are closely matched at 1.2 and 5.2 on the LLM Stats Score.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek VL2 Small and Llama 3.2 90B Instruct are closely matched on the overall LLM Stats Score at 1.2 and 5.2.

The models split the 6 individual benchmarks reported for both models evenly.

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

Choose DeepSeek VL2 Small

  • you want the most recent training data — it shipped Dec 2024

Choose Llama 3.2 90B Instruct

  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

DeepSeek VL2 Small
DeepSeek
Llama 3.2 90B Instruct
Meta
Core performance indexes
LLM Stats Score
1.2
#320
5.2
#296
Reasoning
-4.0
#338
6.7
#284
Cost, coverage & limits
Benchmark wins
3 of 6
3 of 6
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Small
Llama 3.2 90B Instruct
Vision
0.6#178
2.8#165
Multimodal
3.2#142
5.6#136
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Small · 13 for Llama 3.2 90B Instruct

6 shared

DeepSeek VL2 Small outperforms in 3 benchmarks (DocVQA, MathVista, TextVQA), while Llama 3.2 90B Instruct is better at 3 benchmarks (AI2D, ChartQA, MMMU).

Both models are evenly matched across the benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

74.0B diff

Llama 3.2 90B Instruct has 74.0B more parameters than DeepSeek VL2 Small, making it 462.5% larger.

DeepSeek
DeepSeek VL2 Small
16.0Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
16.0B
DeepSeek VL2 Small
90.0B
Llama 3.2 90B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and Llama 3.2 90B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Small

Text
Images
Audio
Video

Llama 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while Llama 3.2 90B Instruct uses Llama 3.2.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2 Small

deepseek

Open weights

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while Llama 3.2 90B Instruct was released on 2024-09-25.

DeepSeek VL2 Small is 3 months newer than Llama 3.2 90B Instruct.

DeepSeek VL2 Small

Dec 13, 2024

1.8 years ago

2mo newer
Llama 3.2 90B Instruct

Sep 25, 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 VL2 Small and Llama 3.2 90B Instruct side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs Llama 3.2 90B Instruct.

Which is better, DeepSeek VL2 Small or Llama 3.2 90B Instruct?

DeepSeek VL2 Small and Llama 3.2 90B Instruct are closely matched on the LLM Stats Score at 1.2 and 5.2. DeepSeek VL2 Small is made by DeepSeek and Llama 3.2 90B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Small compare to Llama 3.2 90B Instruct in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for DeepSeek VL2 Small and Llama 3.2 90B Instruct?

DeepSeek VL2 Small supports an unknown number of tokens and Llama 3.2 90B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Small and Llama 3.2 90B Instruct?

Key differences include LLM Stats Score (1.2 vs 5.2), licensing (deepseek vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and Llama 3.2 90B Instruct?

DeepSeek VL2 Small is developed by DeepSeek and Llama 3.2 90B Instruct is developed by Meta.

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