Model Comparison

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

Google

Gemini 1.5 Flash 8B

Google

Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

OpenAI

GPT-5 nano

OpenAI

GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Google

Gemini 1.5 Flash 8B

Google

2024-03-15

OpenAI

GPT-5 nano

OpenAI

2025-08-07

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Flash 8B

$0.08 cheaper
Input:$0.07
Output:$0.30
OpenAI

GPT-5 nano

Input:$0.05
Output:$0.40

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash 8B

Larger context
Max Context:1.1M
Parameters:8.0B
OpenAI

GPT-5 nano

Max Context:528.0K

Average performance across 1 common benchmarks

Google

Gemini 1.5 Flash 8B

Average Score:38.4%
OpenAI

GPT-5 nano

+32.8%
Average Score:71.2%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash 8B

general
+7.1%
67.2%
math
+39.1%
48.7%
OpenAI

GPT-5 nano

general
60.2%
math
9.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

Gemini 1.5 Flash 8B

2024-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Flash 8B

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
Google

Gemini 1.5 Flash 8B

Avg Score:38.4%
Providers:1
OpenAI

GPT-5 nano

+32.8%
Avg Score:71.2%
Providers:2