Model Comparison

Gemini 1.5 Pro vs Llama 3.3 70B Instruct

Both models are evenly matched across the benchmarks. Llama 3.3 70B Instruct is 21.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 1.5 Pro outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Llama 3.3 70B Instruct is better at 3 benchmarks (HumanEval, MGSM, MMLU).

Both models are evenly matched across the benchmarks.

Wed Apr 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 12.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 50.0x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Llama 3.3 70B Instruct.*

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

Lowest available price from all providers
Wed Apr 01 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
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Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Gemini 1.5 Pro

Proprietary

Closed source

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 7 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.3 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

Gemini 1.5 Pro

Nov 2023

Llama 3.3 70B Instruct

—

Provider Availability

Gemini 1.5 Pro is available from Google. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher GPQA score (59.1% vs 50.5%)
Higher MATH score (86.5% vs 77.0%)
Higher MMLU-Pro score (75.8% vs 68.9%)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher HumanEval score (88.4% vs 84.1%)
Higher MGSM score (91.1% vs 87.5%)
Higher MMLU score (86.0% vs 85.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about Gemini 1.5 Pro vs Llama 3.3 70B Instruct

Both models are evenly matched across the benchmarks. Gemini 1.5 Pro is made by Google and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.
Llama 3.3 70B Instruct is 12.5x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.
Gemini 1.5 Pro supports 2.1M tokens and Llama 3.3 70B 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 (2.1M vs 128K), input pricing ($2.50 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and Llama 3.3 70B Instruct is developed by Meta.