Model Comparison

GPT-5 vs Jamba 1.5 Large

GPT-5 significantly outperforms across most benchmarks. GPT-5 is 1.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5 outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 costs less

For input processing, GPT-5 ($1.25/1M tokens) is 1.6x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT-5 ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5 accepts 400,000 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-5 is limited to 128,000 tokens.

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-5

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 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-5

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

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

GPT-5 is 12 months newer than Jamba 1.5 Large.

GPT-5

Aug 7, 2025

8 months ago

11mo newer
Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

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

GPT-5 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 Large (2024-03-05).

GPT-5

Sep 2024

6 mo newer
Jamba 1.5 Large

Mar 2024

Provider Availability

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

GPT-5

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

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (85.7% vs 36.9%)
Higher MMLU score (92.5% vs 81.2%)
Less expensive output tokens
Has open weights

Detailed Comparison

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

FAQ

Common questions about GPT-5 vs Jamba 1.5 Large

GPT-5 significantly outperforms across most benchmarks. GPT-5 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.
GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
GPT-5 is 1.6x cheaper for input tokens. GPT-5 costs $1.25/M input and $10.00/M output via openai. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
GPT-5 supports 400K 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.
Key differences include context window (400K vs 256K), input pricing ($1.25 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.
GPT-5 is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.