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.

Alibaba

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

Alibaba

Qwen3 32B

Alibaba

2025-04-29

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Jamba 1.5 Large

Input:$2.00
Output:$8.00
Alibaba

Qwen3 32B

$9.60 cheaper
Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B
Alibaba

Qwen3 32B

Max Context:256.0K
Parameters:32.8B

Average performance across 1 common benchmarks

Jamba 1.5 Large

Average Score:65.4%
Alibaba

Qwen3 32B

+28.4%
Average Score:93.8%

Performance comparison across key benchmark categories

Jamba 1.5 Large

general
57.1%
Alibaba

Qwen3 32B

general
+16.5%
73.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
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
Alibaba

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms

Jamba 1.5 Large

Avg Score:65.4%
Providers:2
Alibaba

Qwen3 32B

+28.4%
Avg Score:93.8%
Providers:3