Model Comparison

Command R+ vs Jamba 1.5 Mini

Both models are evenly matched across the benchmarks. Jamba 1.5 Mini is 1.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Command R+ outperforms in 2 benchmarks (MMLU, TruthfulQA), while Jamba 1.5 Mini is better at 2 benchmarks (ARC-C, GSM8k).

Both models are evenly matched across the benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Command R+ ($0.25/1M tokens) is 1.3x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.5x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Command R+ is more expensive than Jamba 1.5 Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

52.0B diff

Command R+ has 52.0B more parameters than Jamba 1.5 Mini, making it 100.0% larger.

Cohere
Command R+
104.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
104.0B
Command R+
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Command R+'s 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Sat Apr 11 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, 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.

Command R+

CC BY-NC

Open weights

Jamba 1.5 Mini

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 Mini was released on 2024-08-22.

Command R+ is 0 month newer than Jamba 1.5 Mini.

Command R+

Aug 30, 2024

1.6 years ago

1w newer
Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Command R+'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 Command R+'s cutoff date.

Command R+

—

Jamba 1.5 Mini

Mar 2024

Provider Availability

Command R+ is available from Cohere, Bedrock. Jamba 1.5 Mini is available from Bedrock, Google.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Higher MMLU score (75.7% vs 69.7%)
Higher TruthfulQA score (56.3% vs 54.1%)
AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens
Higher ARC-C score (85.7% vs 71.0%)
Higher GSM8k score (75.8% vs 70.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Command R+ vs Jamba 1.5 Mini

Both models are evenly matched across the benchmarks. Command R+ is made by Cohere and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
Jamba 1.5 Mini is 1.3x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
Command R+ supports 128K tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 256K), input pricing ($0.25 vs $0.20/M), licensing (CC BY-NC vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Jamba 1.5 Mini is developed by AI21 Labs.