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Jamba Large 1.7

AI21 Labs · 2025-07-03 · 398.6B parameters

Jamba Large 1.7 is AI21 Labs' July 2025 open-weight hybrid Mamba-Transformer mixture-of-experts model, described by AI21 as having 398B total and 94B active parameters and a 256K-token context window. It updates Jamba Large 1.6 with improved grounding and instruction following. The model targets long-context enterprise workloads and is available for self-deployment from Hugging Face as well as through AI21 Studio.

Benchmark scores

BenchmarkScore
AA-LCR17.3
AA-Omniscience Index-55.5
AIME 20252.3
Artificial Analysis Intelligence Index5.3
Artificial Analysis Omniscience Accuracy19.7
Artificial Analysis Omniscience Hallucination Rate93.8
Artificial Analysis Openness Index22.2
BullshitBench v2 Leaderboard5.0
BuseyBench SVG2.2
Capability117.6
CritPt0.0
GPQA Diamond39.0
Humanity's Last Exam (Text-Only)3.8
IFBench (Artificial Analysis)35.2
LiveCodeBench (Artificial Analysis)18.1
MATH-500 (Artificial Analysis source)60.0
SciCode (Artificial Analysis)18.8
SnakeBench Average Apples0.7
SnakeBench Best Apples4.0
SnakeBench Rating17.8
SnakeBench Total Apples55.0
SnakeBench Win Rate46.4
Terminal-Bench Hard2.3
τ²-bench (Telecom)13.5
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