Model Comparison

GPT-5 Codex vs Jamba 1.5 Large

Comparing GPT-5 Codex and Jamba 1.5 Large across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5 Codex and Jamba 1.5 Large don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

OpenAI
GPT-5 Codex
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

GPT-5 Codex is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5 Codex

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-5 Codex was released on 2025-09-15, while Jamba 1.5 Large was released on 2024-08-22.

GPT-5 Codex is 13 months newer than Jamba 1.5 Large.

GPT-5 Codex

Sep 15, 2025

8 months ago

1.1yr newer
Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-5 Codex has a knowledge cutoff of 2024-09-30, while Jamba 1.5 Large has a cutoff of 2024-03-05.

GPT-5 Codex has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).

GPT-5 Codex

Sep 2024

6 mo newer
Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Key Takeaways

OpenAI

No standout differentiators in the data we have for this pair.

AI21 Labs
Larger context window (256,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 Codex
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about GPT-5 Codex vs Jamba 1.5 Large.

Which is better, GPT-5 Codex or Jamba 1.5 Large?

GPT-5 Codex (OpenAI) and Jamba 1.5 Large (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5 Codex compare to Jamba 1.5 Large in benchmarks?

GPT-5 Codex scores SWE-Bench Verified: 74.5%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for GPT-5 Codex and Jamba 1.5 Large?

GPT-5 Codex supports an unknown number of tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5 Codex and Jamba 1.5 Large?

Key differences include licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 Codex and Jamba 1.5 Large?

GPT-5 Codex is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.