DeepSeek R1 Zero vs Jamba 1.5 Mini
DeepSeek R1 Zero leads the LLM Stats Score 16.0 to -5.7.
DeepSeek · AI21 Labs · Updated for 2026
Which is better?
DeepSeek R1 Zero leads the overall LLM Stats Score 16.0 to -5.7, ranking #234 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Zero wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Zero
- overall performance matters — it scores 16.0 and ranks #234 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 want the most recent training data — it shipped Jan 2025
Choose Jamba 1.5 Mini
- you want predictable pricing at $0.20/M input and $0.40/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Zero · 8 for Jamba 1.5 Mini
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Zero has 619.0B more parameters than Jamba 1.5 Mini, making it 1190.4% larger.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, 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.
MIT
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Jamba 1.5 Mini was released on 2024-08-22.
DeepSeek R1 Zero is 5 months newer than Jamba 1.5 Mini.
Jan 20, 2025
1.7 years ago
5mo newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while DeepSeek R1 Zero's cutoff date is not specified.
We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without DeepSeek R1 Zero's cutoff date.
—
Mar 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Zero and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Zero vs Jamba 1.5 Mini.