Model Comparison
GPT-3.5 Turbo vs Jamba 1.5 MiniWhich is better in 2026?
Both models are evenly matched across the benchmarks. Jamba 1.5 Mini is 3.0x cheaper per token.
Verdict: GPT-3.5 Turbo vs Jamba 1.5 Mini — which is better?
GPT-3.5 Turbo (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-3.5 Turbo outperforms in 1 benchmarks (MMLU), while Jamba 1.5 Mini is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.
On price, Jamba 1.5 Mini is roughly 3.0x 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-3.5 Turbo if…
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose Jamba 1.5 Mini if…
- cost matters — it's about 3.0x 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-3.5 Turbo outperforms in 1 benchmarks (MMLU), while Jamba 1.5 Mini is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 2.5x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 3.8x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, GPT-3.5 Turbo 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-3.5 Turbo's 16,385 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-3.5 Turbo 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-3.5 Turbo was released on 2023-03-21, while Jamba 1.5 Mini was released on 2024-08-22.
Jamba 1.5 Mini is 17 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.3 years ago
Aug 22, 2024
1.9 years ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a knowledge cutoff of 2021-09-30, 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-3.5 Turbo (2021-09-30).
Sep 2021
Mar 2024
2.5 yr newerProvider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.
GPT-3.5 Turbo
Jamba 1.5 Mini
Outputs Comparison
Key Takeaways
Jamba 1.5 Mini
View detailsAI21 Labs
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-3.5 Turbo vs Jamba 1.5 Mini.