Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 32B

DeepSeek

DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 DeepSeek's latest advancement in AI technology.

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.

Jamba 1.5 Large

AI21 Labs

2024-08-22

DeepSeek

DeepSeek R1 Distill Qwen 32B

DeepSeek

2025-01-20

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Qwen 32B

$9.70 cheaper
Input:$0.12
Output:$0.18

Jamba 1.5 Large

Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Qwen 32B

Max Context:256.0K
Parameters:32.8B

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 32B

+25.2%
Average Score:62.1%

Jamba 1.5 Large

Average Score:36.9%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 32B

math
+7.3%
94.3%
general
+15.6%
72.7%

Jamba 1.5 Large

math
87.0%
general
57.1%
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

DeepSeek

DeepSeek R1 Distill Qwen 32B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek R1 Distill Qwen 32B

+25.2%
Avg Score:62.1%
Providers:1

Jamba 1.5 Large

Avg Score:36.9%
Providers:2