Model Comparison

GPT-3.5 Turbo vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks. GPT-3.5 Turbo is 4.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-3.5 Turbo outperforms in 0 benchmarks, while Jamba 1.5 Large is better at 2 benchmarks (GPQA, MMLU).

Jamba 1.5 Large significantly outperforms across most benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-3.5 Turbo costs less

For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 4.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 5.3x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than GPT-3.5 Turbo.*

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
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

Jamba 1.5 Large accepts 256,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mon Apr 06 2026 • llm-stats.com

License

Usage and distribution terms

GPT-3.5 Turbo 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-3.5 Turbo

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-3.5 Turbo was released on 2023-03-21, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 17 months newer than GPT-3.5 Turbo.

GPT-3.5 Turbo

Mar 21, 2023

3.0 years ago

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

1.4yr newer

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a knowledge cutoff of 2021-09-30, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Jamba 1.5 Large has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

GPT-3.5 Turbo

Sep 2021

Jamba 1.5 Large

Mar 2024

2.5 yr newer

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. Jamba 1.5 Large is available from Bedrock, Google.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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

OpenAI
Less expensive input tokens
Less expensive output tokens
AI21 Labs
Larger context window (256,000 tokens)
Has open weights
Higher GPQA score (36.9% vs 30.8%)
Higher MMLU score (81.2% vs 69.8%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about GPT-3.5 Turbo vs Jamba 1.5 Large

Jamba 1.5 Large significantly outperforms across most benchmarks. GPT-3.5 Turbo 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-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
GPT-3.5 Turbo is 4.0x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
GPT-3.5 Turbo supports 16K 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 (16K vs 256K), input pricing ($0.50 vs $2.00/M), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
GPT-3.5 Turbo is developed by OpenAI and Jamba 1.5 Large is developed by AI21 Labs.