Model Comparison

Granite 3.3 8B Instruct vs Jamba 1.5 Large

Jamba 1.5 Large shows notably better performance in the majority of benchmarks. Granite 3.3 8B Instruct is 7.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Granite 3.3 8B Instruct outperforms in 1 benchmarks (TruthfulQA), while Jamba 1.5 Large is better at 3 benchmarks (Arena Hard, GSM8k, MMLU).

Jamba 1.5 Large shows notably better performance in the majority of benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Granite 3.3 8B Instruct costs less

For input processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 4.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 16.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Granite 3.3 8B Instruct.*

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
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Model Size

Parameter count comparison

390.0B diff

Jamba 1.5 Large has 390.0B more parameters than Granite 3.3 8B Instruct, making it 4875.0% larger.

IBM
Granite 3.3 8B Instruct
8.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
8.0B
Granite 3.3 8B Instruct
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Granite 3.3 8B Instruct's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Instruct supports multimodal inputs, whereas Jamba 1.5 Large does not.

Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Granite 3.3 8B Instruct

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Granite 3.3 8B Instruct is licensed under Apache 2.0, 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.

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Granite 3.3 8B Instruct was released on 2025-04-16, while Jamba 1.5 Large was released on 2024-08-22.

Granite 3.3 8B Instruct is 8 months newer than Jamba 1.5 Large.

Granite 3.3 8B Instruct

Apr 16, 2025

1.0 years ago

7mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a knowledge cutoff of 2024-04-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Granite 3.3 8B Instruct has more recent training data (up to 2024-04-01), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).

Granite 3.3 8B Instruct

Apr 2024

1 mo newer
Jamba 1.5 Large

Mar 2024

Provider Availability

Granite 3.3 8B Instruct is available from Replicate. Jamba 1.5 Large is available from Bedrock, Google.

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M

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

IBM
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher TruthfulQA score (66.9% vs 58.3%)
AI21 Labs
Larger context window (256,000 tokens)
Higher Arena Hard score (65.4% vs 57.6%)
Higher GSM8k score (87.0% vs 80.9%)
Higher MMLU score (81.2% vs 65.5%)

Detailed Comparison

AI Model Comparison Table
Feature
IBM
Granite 3.3 8B Instruct
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Granite 3.3 8B Instruct vs Jamba 1.5 Large

Jamba 1.5 Large shows notably better performance in the majority of benchmarks. Granite 3.3 8B Instruct is made by IBM 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.
Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Granite 3.3 8B Instruct is 4.0x cheaper for input tokens. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/M output via replicate. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
Granite 3.3 8B Instruct 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), input pricing ($0.50 vs $2.00/M), multimodal support (yes vs no), licensing (Apache 2.0 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Granite 3.3 8B Instruct is developed by IBM and Jamba 1.5 Large is developed by AI21 Labs.