GPT-5 Medium vs Jamba 1.5 Large
GPT-5 Medium leads the LLM Stats Score 30.1 to 1.1. GPT-5 Medium is 1.0x cheaper per token.
OpenAI · AI21 Labs · Updated for 2026
Which is better?
GPT-5 Medium leads the overall LLM Stats Score 30.1 to 1.1, ranking #114 overall.
In the 1 individual benchmarks reported for both models, GPT-5 Medium wins 1; this is a narrower head-to-head signal than the composite indexes.
GPT-5 Medium also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5 Medium
- overall performance matters — it scores 30.1 and ranks #114 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
Choose Jamba 1.5 Large
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
2 reported for GPT-5 Medium · 8 for Jamba 1.5 Large
GPT-5 Medium outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
GPT-5 Medium significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5 Medium ($1.25/1M tokens) is 1.6x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, GPT-5 Medium ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than GPT-5 Medium.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 Medium 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 Medium is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5 Medium supports multimodal inputs, whereas Jamba 1.5 Large does not.
GPT-5 Medium can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5 Medium
Jamba 1.5 Large
License
Usage and distribution terms
GPT-5 Medium 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.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
GPT-5 Medium was released on 2025-08-07, while Jamba 1.5 Large was released on 2024-08-22.
GPT-5 Medium is 12 months newer than Jamba 1.5 Large.
Aug 7, 2025
1.1 years ago
11mo newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-5 Medium has a knowledge cutoff of 2024-09-30, while Jamba 1.5 Large has a cutoff of 2024-03-05.
GPT-5 Medium 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).
Sep 2024
6 mo newerMar 2024
Provider Availability
GPT-5 Medium is available from OpenAI. Jamba 1.5 Large is available from Bedrock, Google.
GPT-5 Medium
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 Medium and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 Medium vs Jamba 1.5 Large.