Model Comparison

DeepSeek R1 Distill Qwen 14B vs Granite 3.3 8B Instruct

Both models are evenly matched across the benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (MATH-500), while Granite 3.3 8B Instruct is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Wed Apr 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 08 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 14B
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

6.8B diff

DeepSeek R1 Distill Qwen 14B has 6.8B more parameters than Granite 3.3 8B Instruct, making it 85.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

Only Granite 3.3 8B Instruct specifies input context (128,000 tokens). Only Granite 3.3 8B Instruct specifies output context (8,192 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Wed Apr 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.

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

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, 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 R1 Distill Qwen 14B

MIT

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Granite 3.3 8B Instruct was released on 2025-04-16.

Granite 3.3 8B Instruct is 3 months newer than DeepSeek R1 Distill Qwen 14B.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.2 years ago

Granite 3.3 8B Instruct

Apr 16, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek R1 Distill Qwen 14B'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 R1 Distill Qwen 14B's cutoff date.

DeepSeek R1 Distill Qwen 14B

—

Granite 3.3 8B Instruct

Apr 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher MATH-500 score (93.9% vs 69.0%)
IBM
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher AIME 2024 score (81.2% vs 80.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
IBM
Granite 3.3 8B Instruct

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Granite 3.3 8B Instruct

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Granite 3.3 8B Instruct is made by IBM. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.
DeepSeek R1 Distill Qwen 14B supports an unknown number of 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 multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Granite 3.3 8B Instruct is developed by IBM.