Model Comparison

GPT-4 vs Jamba 1.5 Mini

GPT-4 significantly outperforms across most benchmarks. Jamba 1.5 Mini is 150.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4 outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Mini is better at 0 benchmarks.

GPT-4 significantly outperforms across most benchmarks.

Mon Apr 20 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, GPT-4 ($30.00/1M tokens) is 150.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 150.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, GPT-4 is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
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→

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to GPT-4's 32,768 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4 supports multimodal inputs, whereas Jamba 1.5 Mini does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, 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.

GPT-4

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Jamba 1.5 Mini was released on 2024-08-22.

Jamba 1.5 Mini is 15 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.9 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

Jamba 1.5 Mini

Mar 2024

1.3 yr newer

Provider Availability

GPT-4 is available from Azure, OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

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

OpenAI
Supports multimodal inputs
Higher GPQA score (35.7% vs 32.3%)
Higher MMLU score (86.4% vs 69.7%)
AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about GPT-4 vs Jamba 1.5 Mini

GPT-4 significantly outperforms across most benchmarks. GPT-4 is made by OpenAI 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.
GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. 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 150.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
GPT-4 supports 33K 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 (33K vs 256K), input pricing ($30.00 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
GPT-4 is developed by OpenAI and Jamba 1.5 Mini is developed by AI21 Labs.