Model Comparison
DeepSeek-V3 0324 vs Granite 3.3 8B InstructWhich is better in 2026?
Both models are evenly matched across the benchmarks. DeepSeek-V3 0324 is 1.0x cheaper per token.
Verdict: DeepSeek-V3 0324 vs Granite 3.3 8B Instruct — which is better?
DeepSeek-V3 0324 (by DeepSeek) and Granite 3.3 8B Instruct (by IBM) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3 0324 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.
DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 0324 if…
- you process long inputs — it offers a 163,840 token context window
Choose Granite 3.3 8B Instruct if…
- you want the most recent training data — it shipped Apr 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.8x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.3x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).
In conclusion, Granite 3.3 8B Instruct is more expensive than DeepSeek-V3 0324.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 663.0B more parameters than Granite 3.3 8B Instruct, making it 8287.5% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek-V3 0324 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-V3 0324
Granite 3.3 8B Instruct
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Granite 3.3 8B Instruct was released on 2025-04-16.
Granite 3.3 8B Instruct is 1 month newer than DeepSeek-V3 0324.
Mar 25, 2025
1.2 years ago
Apr 16, 2025
1.1 years ago
3w newerKnowledge Cutoff
When training data ends
Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V3 0324'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-V3 0324's cutoff date.
—
Apr 2024
Provider Availability
DeepSeek-V3 0324 is available from Novita. Granite 3.3 8B Instruct is available from Replicate.
DeepSeek-V3 0324
Granite 3.3 8B Instruct
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-V3 0324 vs Granite 3.3 8B Instruct.