Model Comparison

Jamba 1.5 Large vs o1-preview

o1-preview significantly outperforms across most benchmarks. Jamba 1.5 Large is 7.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while o1-preview is better at 2 benchmarks (GPQA, MMLU).

o1-preview significantly outperforms across most benchmarks.

Thu Apr 30 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, Jamba 1.5 Large ($2.00/1M tokens) is 7.5x cheaper than o1-preview ($15.00/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 7.5x cheaper than o1-preview ($60.00/1M tokens).

In conclusion, o1-preview is more expensive than Jamba 1.5 Large.*

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
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 o1-preview's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while o1-preview is limited to 32,768 tokens.

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while o1-preview uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Large

Jamba Open Model License

Open weights

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while o1-preview was released on 2024-09-12.

o1-preview is 1 month newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

o1-preview

Sep 12, 2024

1.6 years ago

3w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while o1-preview'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 o1-preview's cutoff date.

Jamba 1.5 Large

Mar 2024

o1-preview

—

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. o1-preview is available from OpenAI, Azure.

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

o1-preview

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
azure logo
Azure
Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Higher GPQA score (73.3% vs 36.9%)
Higher MMLU score (90.8% vs 81.2%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
OpenAI
o1-preview

FAQ

Common questions about Jamba 1.5 Large vs o1-preview

o1-preview significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and o1-preview is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.
Jamba 1.5 Large is 7.5x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. o1-preview costs $15.00/M input and $60.00/M output via openai.
Jamba 1.5 Large supports 256K tokens and o1-preview supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 128K), input pricing ($2.00 vs $15.00/M), licensing (Jamba Open Model License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and o1-preview is developed by OpenAI.