Model Comparison

Gemini 1.0 Pro vs Granite 3.3 8B Instruct

Gemini 1.0 Pro significantly outperforms across most benchmarks. Granite 3.3 8B Instruct is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.0 Pro outperforms in 1 benchmarks (MMLU), while Granite 3.3 8B Instruct is better at 0 benchmarks.

Gemini 1.0 Pro significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Granite 3.3 8B Instruct costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) costs the same as Granite 3.3 8B Instruct ($0.50/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 3.0x more expensive than Granite 3.3 8B Instruct ($0.50/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Granite 3.3 8B Instruct.*

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Granite 3.3 8B Instruct accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas Gemini 1.0 Pro does not.

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

Gemini 1.0 Pro

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, 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.

Gemini 1.0 Pro

Proprietary

Closed source

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Granite 3.3 8B Instruct was released on 2025-04-16.

Granite 3.3 8B Instruct is 14 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Granite 3.3 8B Instruct

Apr 16, 2025

1.0 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Granite 3.3 8B Instruct has a cutoff of 2024-04-01.

Granite 3.3 8B Instruct has more recent training data (up to 2024-04-01), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

Granite 3.3 8B Instruct

Apr 2024

2 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. Granite 3.3 8B Instruct is available from Replicate.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Higher MMLU score (71.8% vs 65.5%)
IBM
Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
IBM
Granite 3.3 8B Instruct

FAQ

Common questions about Gemini 1.0 Pro vs Granite 3.3 8B Instruct

Gemini 1.0 Pro significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google 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.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.
Both models cost $0.50 per million input tokens.
Gemini 1.0 Pro supports 33K 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 (33K vs 128K), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and Granite 3.3 8B Instruct is developed by IBM.