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DeepSeek-V4-Pro-0813 vs Granite 3.3 8B Base

Comparing DeepSeek-V4-Pro-0813 and Granite 3.3 8B Base across benchmarks, pricing, and capabilities.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Granite 3.3 8B Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-0813

  • you want the most recent training data — it shipped Aug 2026

Choose Granite 3.3 8B Base

  • you are already invested in the IBM ecosystem

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
Released
Aug 2026
Apr 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Pro-0813 and Granite 3.3 8B Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

1591.8B diff

DeepSeek-V4-Pro-0813 has 1591.8B more parameters than Granite 3.3 8B Base, making it 19483.8% larger.

DeepSeek
DeepSeek-V4-Pro-0813
1.6Tparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
1600.0B
DeepSeek-V4-Pro-0813
8.2B
Granite 3.3 8B Base

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.

Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Pro-0813

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Granite 3.3 8B Base uses Apache 2.0.

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

DeepSeek-V4-Pro-0813

MIT

Open weights

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Granite 3.3 8B Base was released on 2025-04-16.

DeepSeek-V4-Pro-0813 is 16 months newer than Granite 3.3 8B Base.

DeepSeek-V4-Pro-0813

Aug 13, 2026

1 weeks ago

1.3yr newer
Granite 3.3 8B Base

Apr 16, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V4-Pro-0813's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.

DeepSeek-V4-Pro-0813

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Granite 3.3 8B Base side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Granite 3.3 8B Base
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Granite 3.3 8B Base.

Which is better, DeepSeek-V4-Pro-0813 or Granite 3.3 8B Base?

DeepSeek-V4-Pro-0813 (DeepSeek) and Granite 3.3 8B Base (IBM) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Pro-0813 compare to Granite 3.3 8B Base in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Granite 3.3 8B Base?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Granite 3.3 8B Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-0813 and Granite 3.3 8B Base?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Granite 3.3 8B Base?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Granite 3.3 8B Base is developed by IBM.