Model Comparison

GPT-4o mini vs Jamba 1.5 Mini

GPT-4o mini significantly outperforms across most benchmarks. Jamba 1.5 Mini is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

GPT-4o mini significantly outperforms across most benchmarks.

Thu Apr 16 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-4o mini ($0.15/1M tokens) is 1.3x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 1.5x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
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-4o mini's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4o mini

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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-4o mini

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Jamba 1.5 Mini was released on 2024-08-22.

Jamba 1.5 Mini is 1 month newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, 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-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

Jamba 1.5 Mini

Mar 2024

5 mo newer

Provider Availability

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

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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

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Key Takeaways

OpenAI
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (40.2% vs 32.3%)
Higher MMLU score (82.0% vs 69.7%)
AI21 Labs
Larger context window (256,144 tokens)
Less expensive output tokens
Has open weights

Detailed Comparison

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

FAQ

Common questions about GPT-4o mini vs Jamba 1.5 Mini

GPT-4o mini significantly outperforms across most benchmarks. GPT-4o mini 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-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
GPT-4o mini is 1.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
GPT-4o mini 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 ($0.15 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-4o mini is developed by OpenAI and Jamba 1.5 Mini is developed by AI21 Labs.