Model Comparison

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

Google

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Meta

Llama 3.1 405B Instruct

Meta

Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

2024-02-15

Meta

Llama 3.1 405B Instruct

Meta

2024-07-23

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.0 Pro

Input:$0.50
Output:$1.50
Meta

Llama 3.1 405B Instruct

$0.22 cheaper
Input:$0.89
Output:$0.89

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Max Context:41.0K
Meta

Llama 3.1 405B Instruct

Larger context
Max Context:256.0K
Parameters:405.0B

Average performance across 3 common benchmarks

Google

Gemini 1.0 Pro

Average Score:44.1%
Meta

Llama 3.1 405B Instruct

+26.5%
Average Score:70.6%

Performance comparison across key benchmark categories

Google

Gemini 1.0 Pro

math
39.6%
general
51.4%
Meta

Llama 3.1 405B Instruct

math
+47.8%
87.4%
general
+21.8%
73.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Meta

Llama 3.1 405B Instruct

8 providers

Together

Throughput: 35 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 40 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 27 tok/s
Latency: 0.5ms

Google

Throughput: 42 tok/s
Latency: 0.4ms

Fireworks

Throughput: 78 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Replicate

Throughput: 22 tok/s
Latency: 0.5ms
Google

Gemini 1.0 Pro

Avg Score:44.1%
Providers:1
Meta

Llama 3.1 405B Instruct

+26.5%
Avg Score:70.6%
Providers:8