Model Comparison

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

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.

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

GPT-3.5 Turbo

OpenAI

2023-03-21

Gemini 1.0 Pro

Google

2024-02-15

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Gemini 1.0 Pro

Input:$0.50

Output:$1.50

GPT-3.5 Turbo

Input:$0.50

Output:$1.50

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

GPT-3.5 Turbo

Max Context:20.5K

Average performance across 5 common benchmarks

Gemini 1.0 Pro

+16.6%

Average Score:45.4%

GPT-3.5 Turbo

Average Score:28.7%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

general

51.4%

math

+6.5%

39.6%

GPT-3.5 Turbo

general

+5.5%

56.9%

math

33.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

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

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Gemini 1.0 Pro

+16.6%

Avg Score:45.4%

Providers:1

GPT-3.5 Turbo

Avg Score:28.7%

Providers:2