Model Comparison

GPT-4.1 mini vs Jamba 1.5 Large

GPT-4.1 mini significantly outperforms across most benchmarks. GPT-4.1 mini is 5.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4.1 mini outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.

GPT-4.1 mini significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 mini costs less

For input processing, GPT-4.1 mini ($0.40/1M tokens) is 5.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT-4.1 mini ($1.60/1M tokens) is 5.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than GPT-4.1 mini.*

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

Lowest available price from all providers

Sat May 02 2026 • llm-stats.com

GPT-4.1 mini

Input tokens$0.40

Output tokens$1.60

Best providerOpenAI

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

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Context Window

Maximum input and output token capacity

GPT-4.1 mini accepts 1,047,576 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT-4.1 mini is limited to 32,768 tokens.

GPT-4.1 mini

Input1,047,576 tokens

Output32,768 tokens

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 mini supports multimodal inputs, whereas Jamba 1.5 Large does not.

GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 mini

Text

Images

Audio

Video

Jamba 1.5 Large

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4.1 mini 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-4.1 mini

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-4.1 mini was released on 2025-04-14, while Jamba 1.5 Large was released on 2024-08-22.

GPT-4.1 mini is 8 months newer than Jamba 1.5 Large.

GPT-4.1 mini

Apr 14, 2025

1.0 years ago

7mo newer

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 mini has a knowledge cutoff of 2024-05-31, while Jamba 1.5 Large has a cutoff of 2024-03-05.

GPT-4.1 mini 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 Large (2024-03-05).

GPT-4.1 mini

May 2024

2 mo newer

Jamba 1.5 Large

Mar 2024

Provider Availability

GPT-4.1 mini is available from OpenAI. Jamba 1.5 Large is available from Bedrock, Google.

GPT-4.1 mini

OpenAI

Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

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

GPT-4.1 mini

View details

OpenAI

Larger context window (1,047,576 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (65.0% vs 36.9%)

Higher MMLU score (87.5% vs 81.2%)

Jamba 1.5 Large

View details

AI21 Labs

Has open weights

GPT-4.1 mini

Jamba 1.5 Large

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4.1 mini	Jamba 1.5 Large

FAQ

Common questions about GPT-4.1 mini vs Jamba 1.5 Large.

Which is better, GPT-4.1 mini or Jamba 1.5 Large?

GPT-4.1 mini significantly outperforms across most benchmarks. GPT-4.1 mini 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.

How does GPT-4.1 mini compare to Jamba 1.5 Large in benchmarks?

GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is GPT-4.1 mini cheaper than Jamba 1.5 Large?

GPT-4.1 mini is 5.0x cheaper for input tokens. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

What are the context window sizes for GPT-4.1 mini and Jamba 1.5 Large?

GPT-4.1 mini supports 1.0M 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.

What are the main differences between GPT-4.1 mini and Jamba 1.5 Large?

Key differences include context window (1.0M vs 256K), input pricing ($0.40 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.

Who makes GPT-4.1 mini and Jamba 1.5 Large?

GPT-4.1 mini is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.