Model Comparison

Grok-2 vs Jamba 1.5 Large

Grok-2 significantly outperforms across most benchmarks. Jamba 1.5 Large is 1.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Grok-2 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Jamba 1.5 Large is better at 0 benchmarks.

Grok-2 significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Large costs less

For input processing, Grok-2 ($2.00/1M tokens) costs the same as Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Grok-2 ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Grok-2 is more expensive than Jamba 1.5 Large.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
xAI
Grok-2
Input tokens$2.00
Output tokens$10.00
Best providerxAI
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

Jamba 1.5 Large accepts 256,000 input tokens compared to Grok-2's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Grok-2 is limited to 8,000 tokens.

xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-2 supports multimodal inputs, whereas Jamba 1.5 Large does not.

Grok-2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-2

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-2 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-2

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Grok-2 was released on 2024-08-13, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 0 month newer than Grok-2.

Grok-2

Aug 13, 2024

1.7 years ago

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

1w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Grok-2'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-2's cutoff date.

Grok-2

—

Jamba 1.5 Large

Mar 2024

Provider Availability

Grok-2 is available from xAI. Jamba 1.5 Large is available from Bedrock, Google.

Grok-2

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

xAI
Supports multimodal inputs
Higher GPQA score (56.0% vs 36.9%)
Higher MMLU score (87.5% vs 81.2%)
Higher MMLU-Pro score (75.5% vs 53.5%)
AI21 Labs
Larger context window (256,000 tokens)
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-2
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Grok-2 vs Jamba 1.5 Large

Grok-2 significantly outperforms across most benchmarks. Grok-2 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-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Both models cost $2.00 per million input tokens.
Grok-2 supports 128K 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 context window (128K vs 256K), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Grok-2 is developed by xAI and Jamba 1.5 Large is developed by AI21 Labs.