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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-LCR v1.119.3
AA-Omniscience Index-54.9
AIME 2025 (Artificial Analysis avg@10)2.3
Artificial Analysis Omniscience Accuracy20.6
Artificial Analysis Omniscience Hallucination Rate95.1
Artificial Analysis Openness Index22.2
Artificial Analysis Progress Index v1140
BullshitBench v2 Leaderboard5.0
BuseyBench SVG2.2
Capability118.5
CritPt (avg@5)0.0
GPQA Diamond (Artificial Analysis avg@5)39.0
Humanity's Last Exam (Text-Only)3.7
IFBench (Artificial Analysis avg@5)35.2
LiveCodeBench (Artificial Analysis)18.1
MATH-500 (Artificial Analysis source)60.0
MMLU Pro57.7
ObviousBench50.7
SciCode (Artificial Analysis avg@3)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
Vectara Hallucination Leaderboard9.7
τ²-bench (Telecom)13.5
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