Model Comparison

GPT-4o vs Jamba 1.5 Large

GPT-4o significantly outperforms across most benchmarks. Jamba 1.5 Large is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4o outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Jamba 1.5 Large is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Wed Apr 22 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, GPT-4o ($2.50/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

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

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
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 GPT-4o's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4o

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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.

GPT-4o

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Jamba 1.5 Large was released on 2024-08-22.

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

GPT-4o

Aug 6, 2024

1.7 years ago

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

2w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GPT-4o'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 GPT-4o's cutoff date.

GPT-4o

—

Jamba 1.5 Large

Mar 2024

Provider Availability

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

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput 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

OpenAI
Supports multimodal inputs
Higher GPQA score (70.1% vs 36.9%)
Higher MMLU score (85.7% vs 81.2%)
Higher MMLU-Pro score (74.7% vs 53.5%)
AI21 Labs
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

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

FAQ

Common questions about GPT-4o vs Jamba 1.5 Large

GPT-4o significantly outperforms across most benchmarks. GPT-4o is made by OpenAI 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.
GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Jamba 1.5 Large is 1.3x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
GPT-4o 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 ($2.50 vs $2.00/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 is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.