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.

Microsoft

Phi 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

8 months newer

Performance Metrics

Context window and performance specifications

Jamba 1.5 Large

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

Phi 4 Reasoning

Max Context:-
Parameters:14.0B

Average performance across 3 common benchmarks

Jamba 1.5 Large

Average Score:51.9%
Microsoft

Phi 4 Reasoning

+19.2%
Average Score:71.1%

Performance comparison across key benchmark categories

Jamba 1.5 Large

math
+10.4%
87.0%
general
57.1%
Microsoft

Phi 4 Reasoning

math
76.6%
general
+17.2%
74.3%
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

Phi 4 Reasoning

2025-03-01

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
Microsoft

Phi 4 Reasoning

0 providers

Jamba 1.5 Large

Avg Score:51.9%
Providers:2
Microsoft

Phi 4 Reasoning

+19.2%
Avg Score:71.1%
Providers:0