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Model Comparison

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

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). 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 2025, 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 2.0 Flash-Lite

Google

2025-02-05

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

7 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M
OpenAI

GPT-5 Codex

Max Context:-

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash-Lite

general
60.3%
OpenAI

GPT-5 Codex

general
+14.2%
74.5%
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

GPT-5 Codex

2024-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-5 Codex

0 providers
Google

Gemini 2.0 Flash-Lite

Avg Score:0.0%
Providers:1
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0