Jamba 1.5 Large vs Ministral 3 (14B Reasoning 2512)
Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is 17.5x cheaper per token.
AI21 Labs · Mistral AI · Updated for 2026
Which is better?
Jamba 1.5 Large outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 1 benchmark (GPQA). Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.
On price, Ministral 3 (14B Reasoning 2512) is roughly 17.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ministral 3 (14B Reasoning 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you want predictable pricing at $2.00/M input and $8.00/M output
Choose Ministral 3 (14B Reasoning 2512)
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 17.5x cheaper per token
- you process long inputs — it offers a 262,100 token context window
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Jamba 1.5 Large outperforms in 0 benchmarks, while Ministral 3 (14B Reasoning 2512) is better at 1 benchmark (GPQA).
Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 10.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 40.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Ministral 3 (14B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 384.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 2742.9% larger.
Context Window
Maximum input and output token capacity
Ministral 3 (14B Reasoning 2512) accepts 262,100 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while Jamba 1.5 Large is limited to 256,000 tokens.
Input Capabilities
Supported data types and modalities
Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Jamba 1.5 Large does not.
Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Ministral 3 (14B Reasoning 2512)
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Ministral 3 (14B Reasoning 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.
Ministral 3 (14B Reasoning 2512) is 16 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.0 years ago
Dec 4, 2025
8 months ago
1.3yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Ministral 3 (14B Reasoning 2512)'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 Ministral 3 (14B Reasoning 2512)'s cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.
Jamba 1.5 Large
Ministral 3 (14B Reasoning 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Ministral 3 (14B Reasoning 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Ministral 3 (14B Reasoning 2512).
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