Model Comparison

Gemini 3 Pro vs Llama 3.1 8B Instruct

Gemini 3 Pro significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 150.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (GPQA), while Llama 3.1 8B Instruct is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 66.7x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 400.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
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Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Llama 3.1 8B Instruct's 131,072 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

Llama 3.1 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.

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

Gemini 3 Pro

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Llama 3.1 8B Instruct was released on 2024-07-23.

Gemini 3 Pro is 16 months newer than Llama 3.1 8B Instruct.

Gemini 3 Pro

Nov 18, 2025

4 months ago

1.3yr newer
Llama 3.1 8B Instruct

Jul 23, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Llama 3.1 8B Instruct has a cutoff of 2023-12-31.

Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Llama 3.1 8B Instruct (2023-12-31).

Gemini 3 Pro

Jan 2025

1.1 yr newer
Llama 3.1 8B Instruct

Dec 2023

Provider Availability

Gemini 3 Pro is available from Google. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (91.9% vs 30.4%)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Meta
Llama 3.1 8B Instruct

FAQ

Common questions about Gemini 3 Pro vs Llama 3.1 8B Instruct

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Llama 3.1 8B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%.
Llama 3.1 8B Instruct is 66.7x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.
Gemini 3 Pro supports 1.0M tokens and Llama 3.1 8B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 131K), input pricing ($2.00 vs $0.03/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.
Gemini 3 Pro is developed by Google and Llama 3.1 8B Instruct is developed by Meta.