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Model Comparison

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

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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

Gemma 3n E4B Instructed

Google

2025-06-26

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3n E4B Instructed

Larger context
Max Context:64.0K
Parameters:8.0B
OpenAI

GPT-5 Codex

Max Context:-

Performance comparison across key benchmark categories

Google

Gemma 3n E4B Instructed

general
44.6%
OpenAI

GPT-5 Codex

general
+29.9%
74.5%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed

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

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
OpenAI

GPT-5 Codex

0 providers
Google

Gemma 3n E4B Instructed

Avg Score:0.0%
Providers:1
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0