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Model Comparison

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

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.

Jamba 1.5 Large

AI21 Labs

Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

OpenAI

GPT-5 Codex

OpenAI

2025-09-15

1 year newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-5 Codex

Max Context:-

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B

Performance comparison across key benchmark categories

OpenAI

GPT-5 Codex

general
+17.4%
74.5%

Jamba 1.5 Large

general
57.1%
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Large

2024-03-05

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

OpenAI

GPT-5 Codex

0 providers

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
OpenAI

GPT-5 Codex

Avg Score:0.0%
Providers:0

Jamba 1.5 Large

Avg Score:0.0%
Providers:2