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 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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 3.1 8B Instruct

Meta

2024-07-23

Google

Gemini Diffusion

Google

2025-05-20

10 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini Diffusion

Max Context:-
Meta

Llama 3.1 8B Instruct

Larger context
Max Context:262.1K
Parameters:8.0B

Average performance across 2 common benchmarks

Google

Gemini Diffusion

+13.5%
Average Score:65.0%
Meta

Llama 3.1 8B Instruct

Average Score:51.5%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

code
60.5%
general
37.9%
Meta

Llama 3.1 8B Instruct

code
+5.3%
65.8%
general
+16.1%
54.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini Diffusion

0 providers
Meta

Llama 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s
Latency: 0.5ms

Together

Throughput: 194 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s
Latency: 0.5ms

Fireworks

Throughput: 292 tok/s
Latency: 0.5ms

Groq

Throughput: 750 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s
Latency: 0.2ms
Google

Gemini Diffusion

+13.5%
Avg Score:65.0%
Providers:0
Meta

Llama 3.1 8B Instruct

Avg Score:51.5%
Providers:9