Model Comparison

Grok-1.5 vs Jamba 1.5 Large

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Grok-1.5 outperforms in 2 benchmarks (GSM8k, MMLU), while Jamba 1.5 Large is better at 2 benchmarks (GPQA, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
xAI
Grok-1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

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).

xAI
Grok-1.5
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri Apr 10 2026 • llm-stats.com

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, 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.

Grok-1.5

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 5 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.0 years ago

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

4mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Grok-1.5'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 Grok-1.5's cutoff date.

Grok-1.5

—

Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Key Takeaways

xAI
Higher GSM8k score (90.0% vs 87.0%)
Higher MMLU score (81.3% vs 81.2%)
AI21 Labs
Larger context window (256,000 tokens)
Has open weights
Higher GPQA score (36.9% vs 35.9%)
Higher MMLU-Pro score (53.5% vs 51.0%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Grok-1.5 vs Jamba 1.5 Large

Both models are evenly matched across the benchmarks. Grok-1.5 is made by xAI and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Grok-1.5 supports an unknown number of tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Grok-1.5 is developed by xAI and Jamba 1.5 Large is developed by AI21 Labs.