Model Comparison

Jamba 1.5 Mini vs o3

o3 significantly outperforms across most benchmarks. Jamba 1.5 Mini is 14.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 0 benchmarks, while o3 is better at 1 benchmark (GPQA).

o3 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, Jamba 1.5 Mini ($0.20/1M tokens) is 10.0x cheaper than o3 ($2.00/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 20.0x cheaper than o3 ($8.00/1M tokens).

In conclusion, o3 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
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
OpenAI
o3
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
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 o3's 200,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while o3 is limited to 100,000 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas Jamba 1.5 Mini does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while o3 uses a proprietary license.

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

Jamba 1.5 Mini

Jamba Open Model License

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while o3 was released on 2025-04-16.

o3 is 8 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

o3

Apr 16, 2025

1.0 years ago

7mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while o3 has a cutoff of 2024-05-31.

o3 has more recent training data (up to 2024-05-31), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Jamba 1.5 Mini

Mar 2024

o3

May 2024

2 mo newer

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. o3 is available from OpenAI.

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

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Supports multimodal inputs
Higher GPQA score (83.3% vs 32.3%)
AI21 LabsJamba 1.5 Mini
OpenAIo3
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
OpenAI
o3

FAQ

Common questions about Jamba 1.5 Mini vs o3

o3 significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and o3 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.
Jamba 1.5 Mini is 10.0x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. o3 costs $2.00/M input and $8.00/M output via openai.
Jamba 1.5 Mini supports 256K tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 200K), input pricing ($0.20 vs $2.00/M), multimodal support (no vs yes), licensing (Jamba Open Model License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and o3 is developed by OpenAI.