GPT-5.3 Codex vs Jamba 1.5 Large Comparison

Comparing GPT-5.3 Codex and Jamba 1.5 Large across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.3 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

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Large costs less

For input processing, GPT-5.3 Codex ($1.75/1M tokens) is 1.1x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT-5.3 Codex ($14.00/1M tokens) is 1.8x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, GPT-5.3 Codex is more expensive than Jamba 1.5 Large.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
OpenAI
GPT-5.3 Codex
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.3 Codex accepts 400,000 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT-5.3 Codex is limited to 128,000 tokens.

OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.3 Codex supports multimodal inputs, whereas Jamba 1.5 Large does not.

GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.3 Codex

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 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-5.3 Codex

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-5.3 Codex was released on 2026-02-05, while Jamba 1.5 Large was released on 2024-08-22.

GPT-5.3 Codex is 18 months newer than Jamba 1.5 Large.

GPT-5.3 Codex

Feb 5, 2026

1 months ago

1.5yr newer
Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GPT-5.3 Codex's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without GPT-5.3 Codex's cutoff date.

GPT-5.3 Codex

Jamba 1.5 Large

Mar 2024

Provider Availability

GPT-5.3 Codex is available from OpenAI. Jamba 1.5 Large is available from Bedrock, Google. The availability of providers can affect quality of the model and reliability.

GPT-5.3 Codex

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.3 Codex
AI21 Labs
Jamba 1.5 Large