Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Jamba 1.5 Large

AI21 Labs

Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

1 year newer

Performance Metrics

Context window and performance specifications

Jamba 1.5 Large

Larger context

Max Context:512.0K

Parameters:398.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 8 common benchmarks

Jamba 1.5 Large

+65.5%

Average Score:65.5%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Knowledge Cutoff

Training data recency comparison

Jamba 1.5 Large

2024-03-05

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s

Latency: 0.3ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Qwen3-Next-80B-A3B-Base

0 providers

Jamba 1.5 Large

+65.5%

Avg Score:65.5%

Providers:2

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0