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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 Codex

OpenAI

GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). 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 Codex

OpenAI

2025-09-15

1 year newer

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 Codex

Max Context:-

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash 8B

general
67.2%
OpenAI

GPT-5 Codex

general
+7.3%
74.5%
Knowledge Cutoff
Training data recency comparison

GPT-5 Codex

2024-09-30

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 Codex

0 providers
Google

Gemini 1.5 Flash 8B

Avg Score:0.0%
Providers:1
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0