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Model Comparison

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

Google

Gemma 3 27B

Google

Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K 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. It's licensed for commercial use, making it suitable for enterprise applications. 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 3 27B

Google

2025-03-12

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

6 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 3 27B

Larger context
Max Context:262.1K
Parameters:27.0B
OpenAI

GPT-5 Codex

Max Context:-

Performance comparison across key benchmark categories

Google

Gemma 3 27B

general
57.9%
OpenAI

GPT-5 Codex

general
+16.6%
74.5%
Knowledge Cutoff
Training data recency comparison

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 3 27B

2 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms

Novita

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

GPT-5 Codex

0 providers
Google

Gemma 3 27B

Avg Score:0.0%
Providers:2
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0