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AI21 Labs

Jamba 1.6 Mini

Jamba 1.6 Mini is a AI21 Labs language-model profile in the Easy Benchmarks snapshot. Use this page to compare its measured Artificial Analysis scores, output speed, time to first token, pricing, and relative ranking against other models in the local catalog.

AI21 model updates

Operational Metrics

Output Speed184.5 tok/s
First Token0.69s
Blended Price$0.250/M

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseMar 6, 2025
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: Speed

Rank #35 across 293 models.

184.5 tok/s

Strength: Output $

Rank #60 across 325 models.

$0.400/M

Strength: Blended $

Rank #66 across 325 models.

$0.250/M

Watch Area: MATH-500

Rank #196 across 201 models.

25.7%

Watch Area: LCB

Rank #326 across 343 models.

7.1%

Watch Area: MMLU-Pro

Rank #326 across 345 models.

36.7%

Strength Profile

Percentile score by analysis domain.

* Cost is inverted: lower input, output, and blended prices rank higher.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall7.9#471
MMLU-Proreasoning36.7%#326
GPQAreasoning30.0%#442
Humanity's Last Examreasoning4.6%#341
LiveCodeBench
coding
7.1%
#326
SciCodecoding, reasoning10.1%#421
MATH-500math25.7%#196
AIMEmath3.3%#166
Output Speedspeed184.5 tok/s#35
Time to First Tokenspeed0.69s#89
Blended Pricecost$0.250/M#66
Input Pricecost$0.200/M#88
Output Pricecost$0.400/M#60
Value Indexcost, overall31.6#146