Model Comparison
o3-mini vs Jamba 1.5 LargeWhich is better in 2026?
o3-mini significantly outperforms across most benchmarks. o3-mini is 1.8x cheaper per token.
Verdict: o3-mini vs Jamba 1.5 Large — which is better?
o3-mini (by OpenAI) and Jamba 1.5 Large (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.
o3-mini outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks. o3-mini significantly outperforms across most benchmarks.
On price, o3-mini is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose o3-mini if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.8x cheaper per token
- you want the most recent training data — it shipped Jan 2025
Choose Jamba 1.5 Large if…
- you process long inputs — it offers a 256,000 token context window
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
o3-mini outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.
o3-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, o3-mini ($1.10/1M tokens) is 1.8x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, o3-mini ($4.40/1M tokens) is 1.8x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than o3-mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to o3-mini's 200,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while o3-mini is limited to 100,000 tokens.
License
Usage and distribution terms
o3-mini 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
o3-mini was released on 2025-01-30, while Jamba 1.5 Large was released on 2024-08-22.
o3-mini is 5 months newer than Jamba 1.5 Large.
Jan 30, 2025
1.4 years ago
5mo newerAug 22, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
o3-mini has a knowledge cutoff of 2023-09-30, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Jamba 1.5 Large has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).
Sep 2023
Mar 2024
6 mo newerProvider Availability
o3-mini is available from Azure, OpenAI. Jamba 1.5 Large is available from Bedrock, Google.
o3-mini
Jamba 1.5 Large
Outputs Comparison
Key Takeaways
o3-mini
View detailsOpenAI
Jamba 1.5 Large
View detailsAI21 Labs
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against o3-mini and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
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FAQ
Common questions about o3-mini vs Jamba 1.5 Large.