Inference360
AI21 Labs

Jamba Large 1.6

Jamba Large 1.6 is a model from AI21 Labs. 5 benchmarks count toward its score, in 3 categories.

partialShows if the model has enough results for an index.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.45%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.N/A
EloLMArena rating and rank.N/A

The index is a score out of 100. The ± range shows how much it can change.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
N/A
CodingCode writing and repair.
5.0
ReasoningLogic problems and puzzles.
N/A
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
8.3
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
N/A
MathMath problems.
9.5

Results

5 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
MGSMMultilingual71.2%——9 Jan 2026Vals AI
MATH 500Math54.8%5.0—9 Jan 2026Vals AI
MMLU ProKnowledge49.8%5.0—1 Sept 2026Vals AI
GPQA DiamondKnowledge36.1%11.6—1 Sept 2026Vals AI
LiveCodeBenchCoding22.3%5.0—1 Sept 2026Vals AI
AIMEMath0.4%13.9—16 Apr 2026Vals AI

5 benchmarks count, from 5 of 6 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsVals AI, collected directlyNo licence stated. Read from the public leaderboard and credited to Vals AI

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