All benchmarks
AI21 Labs · Israel · Released 2024-08
Jamba 1.5 Large
Hybrid SSM-Transformer (Mamba + attention) with a very long 256K context and open weights.
Access
open-weights
Context
256,000 tokens
Modalities
text
Languages
9
Benchmark scores
MMLU
81.2%
Massive Multitask Language Understanding
GPQA
N/A
Graduate-level science QA (Diamond)
HumanEval
71.4%
Python code completion
SWE-bench
N/A
Real GitHub issue resolution (Verified)
LiveCodeBench
N/A
Contamination-free coding
AIME
N/A
American Invitational Mathematics Exam
MMMU
N/A
Multimodal college-level reasoning
MATH
N/A
Competition-level math word problems
Scores as reported by the vendor or leading public leaderboards. "N/A" means the score has not been publicly disclosed for this metric.
Explain like I'm 5
A hybrid model that reads super long documents fast.
Key features
- SSM + Transformer hybrid
- 256K context
Strengths
- Long context efficiency
Limitations
- Below frontier on reasoning
Best for
Long-doc RAGSummarization
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