Model Comparison
GPT-4 vs Jamba 1.5 MiniWhich is better in 2026?
GPT-4 significantly outperforms across most benchmarks. Jamba 1.5 Mini is 150.0x cheaper per token.
Verdict: GPT-4 vs Jamba 1.5 Mini — which is better?
GPT-4 (by OpenAI) and Jamba 1.5 Mini (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4 outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Mini is better at 0 benchmarks. GPT-4 significantly outperforms across most benchmarks.
On price, Jamba 1.5 Mini is roughly 150.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
Choose Jamba 1.5 Mini if…
- cost matters — it's about 150.0x cheaper per token
- you process long inputs — it offers a 256,144 token context window
- you want the most recent training data — it shipped Aug 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Mini is better at 0 benchmarks.
GPT-4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 150.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 150.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, GPT-4 is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Jamba 1.5 Mini accepts 256,144 input tokens compared to GPT-4's 32,768 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-4 is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas Jamba 1.5 Mini does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Jamba 1.5 Mini
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Jamba 1.5 Mini 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-4 was released on 2023-06-13, while Jamba 1.5 Mini was released on 2024-08-22.
Jamba 1.5 Mini is 15 months newer than GPT-4.
Jun 13, 2023
3.0 years ago
Aug 22, 2024
1.8 years ago
1.2yr newerKnowledge Cutoff
When training data ends
GPT-4 has a knowledge cutoff of 2022-12-31, while Jamba 1.5 Mini has a cutoff of 2024-03-05.
Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Dec 2022
Mar 2024
1.3 yr newerProvider Availability
GPT-4 is available from Azure, OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.
GPT-4
Jamba 1.5 Mini
Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Jamba 1.5 Mini
View detailsAI21 Labs
Detailed Comparison
| Feature |
|---|
FAQ
Common questions about GPT-4 vs Jamba 1.5 Mini.