Model Comparison

GPT-5 High vs Jamba 1.5 Mini

GPT-5 High significantly outperforms across most benchmarks. Jamba 1.5 Mini is 13.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5 High outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks.

GPT-5 High significantly outperforms across most benchmarks.

Fri May 15 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-5 High ($1.25/1M tokens) is 6.3x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GPT-5 High ($10.00/1M tokens) is 25.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, GPT-5 High is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
OpenAI
GPT-5 High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
AI21 Labs
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

GPT-5 High accepts 400,000 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-5 High is limited to 128,000 tokens.

OpenAI
GPT-5 High
Input400,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 High supports multimodal inputs, whereas Jamba 1.5 Mini does not.

GPT-5 High can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 High

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 High 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-5 High

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-5 High was released on 2025-08-07, while Jamba 1.5 Mini was released on 2024-08-22.

GPT-5 High is 12 months newer than Jamba 1.5 Mini.

GPT-5 High

Aug 7, 2025

9 months ago

11mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-5 High has a knowledge cutoff of 2024-09-30, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

GPT-5 High has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

GPT-5 High

Sep 2024

6 mo newer
Jamba 1.5 Mini

Mar 2024

Provider Availability

GPT-5 High is available from OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.

GPT-5 High

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (87.3% vs 32.3%)
AI21 Labs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 High
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about GPT-5 High vs Jamba 1.5 Mini.

Which is better, GPT-5 High or Jamba 1.5 Mini?

GPT-5 High significantly outperforms across most benchmarks. GPT-5 High 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-5 High compare to Jamba 1.5 Mini in benchmarks?

GPT-5 High scores AIME 2025: 94.6%, GPQA: 87.3%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is GPT-5 High cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 6.3x cheaper for input tokens. GPT-5 High costs $1.25/M input and $10.00/M output via openai. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for GPT-5 High and Jamba 1.5 Mini?

GPT-5 High supports 400K 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-5 High and Jamba 1.5 Mini?

Key differences include context window (400K vs 256K), input pricing ($1.25 vs $0.20/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-5 High and Jamba 1.5 Mini?

GPT-5 High is developed by OpenAI and Jamba 1.5 Mini is developed by AI21 Labs.