Model Comparison

DeepSeek-V3 vs Granite 3.3 8B Instruct

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 4 benchmarks (DROP, IFEval, MATH-500, MMLU), while Granite 3.3 8B Instruct is better at 1 benchmark (AIME 2024).

DeepSeek-V3 significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 1.9x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 2.2x 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.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
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

663.0B diff

DeepSeek-V3 has 663.0B more parameters than Granite 3.3 8B Instruct, making it 8287.5% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
671.0B
DeepSeek-V3
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek-V3 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

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 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.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Granite 3.3 8B Instruct was released on 2025-04-16.

Granite 3.3 8B Instruct is 4 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

Granite 3.3 8B Instruct

Apr 16, 2025

12 months ago

3mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V3'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's cutoff date.

DeepSeek-V3

—

Granite 3.3 8B Instruct

Apr 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. Granite 3.3 8B Instruct is available from Replicate.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

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 (131,072 tokens)
Less expensive input tokens
Higher DROP score (91.6% vs 59.4%)
Higher IFEval score (86.1% vs 74.8%)
Higher MATH-500 score (90.2% vs 69.0%)
Higher MMLU score (88.5% vs 65.5%)
IBM
Supports multimodal inputs
Less expensive output tokens
Higher AIME 2024 score (81.2% vs 39.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
IBM
Granite 3.3 8B Instruct

FAQ

Common questions about DeepSeek-V3 vs Granite 3.3 8B Instruct

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 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-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.
DeepSeek-V3 is 1.9x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/M output via replicate.
DeepSeek-V3 supports 131K 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 (131K vs 128K), input pricing ($0.27 vs $0.50/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and Granite 3.3 8B Instruct is developed by IBM.