Model Comparison

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

Jamba 1.5 Mini

AI21 Labs

Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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.

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. 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 Mini

AI21 Labs

2024-08-22

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

11 months newer

Pricing Comparison

Cost per million tokens (USD)

Jamba 1.5 Mini

$2.70 cheaper

Input:$0.20

Output:$0.40

Qwen3-235B-A22B-Thinking-2507

Input:$0.30

Output:$3.00

Performance Metrics

Context window and performance specifications

Jamba 1.5 Mini

Larger context

Max Context:512.3K

Parameters:52.0B

Qwen3-235B-A22B-Thinking-2507

Max Context:387.1K

Parameters:235.0B

Average performance across 2 common benchmarks

Jamba 1.5 Mini

Average Score:37.4%

Qwen3-235B-A22B-Thinking-2507

+45.4%

Average Score:82.8%

Performance comparison across key benchmark categories

Jamba 1.5 Mini

factuality

54.1%

reasoning

+20.8%

85.7%

general

46.6%

math

+15.7%

75.8%

Qwen3-235B-A22B-Thinking-2507

factuality

+39.7%

93.8%

reasoning

64.9%

general

+30.8%

77.4%

math

60.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Jamba 1.5 Mini

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 Mini

2 providers

Google

Throughput: 100 tok/s

Latency: 0.3ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Jamba 1.5 Mini

Avg Score:37.4%

Providers:2

Qwen3-235B-A22B-Thinking-2507

+45.4%

Avg Score:82.8%

Providers:1