Model Comparison

DeepSeek VL2 vs Granite 3.3 8B Instruct

Comparing DeepSeek VL2 and Granite 3.3 8B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 and Granite 3.3 8B 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

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

19.0B diff

DeepSeek VL2 has 19.0B more parameters than Granite 3.3 8B Instruct, making it 237.5% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
27.0B
DeepSeek VL2
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Granite 3.3 8B Instruct support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Granite 3.3 8B Instruct uses Apache 2.0.

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

DeepSeek VL2

deepseek

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Granite 3.3 8B Instruct was released on 2025-04-16.

Granite 3.3 8B Instruct is 4 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Granite 3.3 8B Instruct

Apr 16, 2025

1.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Granite 3.3 8B Instruct

Apr 2024

Provider Availability

DeepSeek VL2 is available from Replicate. Granite 3.3 8B Instruct is available from Replicate.

DeepSeek VL2

replicate logo
Replicate

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
IBM

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
IBM
Granite 3.3 8B Instruct

FAQ

Common questions about DeepSeek VL2 vs Granite 3.3 8B Instruct

DeepSeek VL2 (DeepSeek) and Granite 3.3 8B Instruct (IBM) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.
DeepSeek VL2 supports 129K tokens and Granite 3.3 8B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (129K vs 128K), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Granite 3.3 8B Instruct is developed by IBM.