Command R+ vs Jamba 1.5 Large
Jamba 1.5 Large significantly outperforms across most benchmarks. Command R+ is 8.0x cheaper per token.
Cohere · AI21 Labs · Updated for 2026
Which is better?
Command R+ outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 4 benchmarks (ARC-C, GSM8k, MMLU, TruthfulQA). Jamba 1.5 Large significantly outperforms across most benchmarks.
On price, Command R+ is roughly 8.0x 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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Command R+
- cost matters — it's about 8.0x cheaper per token
- you want the most recent training data — it shipped Aug 2024
Choose Jamba 1.5 Large
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you process long inputs — it offers a 256,000 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Command R+ outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 4 benchmarks (ARC-C, GSM8k, MMLU, TruthfulQA).
Jamba 1.5 Large significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 8.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 8.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 294.0B more parameters than Command R+, making it 282.7% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Command R+'s 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Command R+ is limited to 128,000 tokens.
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, 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.
CC BY-NC
Open weights
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while Jamba 1.5 Large was released on 2024-08-22.
Command R+ is 0 month newer than Jamba 1.5 Large.
Aug 30, 2024
2.0 years ago
1w 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 Command R+'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 Command R+'s cutoff date.
—
Mar 2024
Provider Availability
Command R+ is available from Cohere, Bedrock. Jamba 1.5 Large is available from Bedrock, Google.
Command R+
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Command R+ and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Command R+ vs Jamba 1.5 Large.