DeepSeek R1 Distill Qwen 7B vs Jamba 1.5 Large
DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.5 to 1.1.
DeepSeek · AI21 Labs · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 7B leads the overall LLM Stats Score 8.5 to 1.1, ranking #266 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 7B 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 Distill Qwen 7B
- overall performance matters — it scores 8.5 and ranks #266 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 Large
- you want predictable pricing at $2.00/M input and $8.00/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 Distill Qwen 7B · 8 for Jamba 1.5 Large
DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Jamba 1.5 Large has 390.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 5123.1% larger.
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 7B is licensed under MIT, 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.
MIT
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Jamba 1.5 Large was released on 2024-08-22.
DeepSeek R1 Distill Qwen 7B is 5 months newer than Jamba 1.5 Large.
Jan 20, 2025
1.6 years ago
5mo newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while DeepSeek R1 Distill Qwen 7B'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 DeepSeek R1 Distill Qwen 7B's cutoff date.
—
Mar 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 7B and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 7B vs Jamba 1.5 Large.