Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

Meta

Llama 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

Google

Gemini Diffusion

Google

2025-05-20

5 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini Diffusion

Max Context:-
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 2 common benchmarks

Google

Gemini Diffusion

Average Score:65.0%
Meta

Llama 3.3 70B Instruct

+4.5%
Average Score:69.5%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

code
60.5%
general
37.9%
Meta

Llama 3.3 70B Instruct

code
+28.9%
89.4%
general
+32.8%
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini Diffusion

0 providers
Meta

Llama 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
Google

Gemini Diffusion

Avg Score:65.0%
Providers:0
Meta

Llama 3.3 70B Instruct

+4.5%
Avg Score:69.5%
Providers:9