Model Comparison

GPT-4 Turbo vs Jamba 1.5 Mini

GPT-4 Turbo significantly outperforms across most benchmarks. Jamba 1.5 Mini is 60.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

GPT-4 Turbo significantly outperforms across most benchmarks.

Sat May 09 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-4 Turbo ($10.00/1M tokens) is 50.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 75.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

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

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

Lowest available price from all providers

Sat May 09 2026 • llm-stats.com

GPT-4 Turbo

Input tokens$10.00

Output tokens$30.00

Best providerAzure

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-4 Turbo's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

GPT-4 Turbo

Input128,000 tokens

Output4,096 tokens

Jamba 1.5 Mini

Input256,144 tokens

Output256,144 tokens

Sat May 09 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Jamba 1.5 Mini was released on 2024-08-22.

Jamba 1.5 Mini is 5 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.1 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a knowledge cutoff of 2023-12-31, 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-4 Turbo (2023-12-31).

GPT-4 Turbo

Dec 2023

Jamba 1.5 Mini

Mar 2024

3 mo newer

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.

GPT-4 Turbo

Azure

Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

OpenAI

Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

Jamba 1.5 Mini

AWS Bedrock

Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

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

GPT-4 Turbo

View details

OpenAI

Higher GPQA score (48.0% vs 32.3%)

Higher MMLU score (86.5% vs 69.7%)

Jamba 1.5 Mini

View details

AI21 Labs

Larger context window (256,144 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4 Turbo	Jamba 1.5 Mini

FAQ

Common questions about GPT-4 Turbo vs Jamba 1.5 Mini.

Which is better, GPT-4 Turbo or Jamba 1.5 Mini?

GPT-4 Turbo significantly outperforms across most benchmarks. GPT-4 Turbo 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.

How does GPT-4 Turbo compare to Jamba 1.5 Mini in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is GPT-4 Turbo cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 50.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for GPT-4 Turbo and Jamba 1.5 Mini?

GPT-4 Turbo 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.

What are the main differences between GPT-4 Turbo and Jamba 1.5 Mini?

Key differences include context window (128K vs 256K), input pricing ($10.00 vs $0.20/M), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Jamba 1.5 Mini?

GPT-4 Turbo is developed by OpenAI and Jamba 1.5 Mini is developed by AI21 Labs.