Model Comparison

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

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). 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-V3 0324

DeepSeek

2025-03-25

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3 0324

Max Context:-

Parameters:671.0B

Jamba 1.5 Large

Larger context

Max Context:512.0K

Parameters:398.0B

Average performance across 2 common benchmarks

DeepSeek-V3 0324

+29.6%

Average Score:74.8%

Jamba 1.5 Large

Average Score:45.2%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+7.0%

94.0%

general

+12.6%

69.7%

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-V3 0324

0 providers

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s

Latency: 0.3ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

DeepSeek-V3 0324

+29.6%

Avg Score:74.8%

Providers:0

Jamba 1.5 Large

Avg Score:45.2%

Providers:2