BenchLeader
AI21 LabsOpen weights

Jamba Mini

Jamba Mini is an AI21 Labs open-weights model, released 1 Jan 2026. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $0.250 per million tokens blended it is cheaper than most ranked models.

Blended price
$0.250/M
$0.200 in · $0.400 out
Output speed
First answer
Context
256k
Released
1 Jan 2026

Versions

AI21 Labs has shipped 5 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
Jamba Minithis page1 Jan 2026
Jamba 1.7 Mini39.6#542
Jamba 1.5 Mini37.9#571
Jamba Mini 1.621.8#629
Jamba Mini 1.7

No independent quality benchmark results yet — only pricing and metadata.

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0002
Summarise a 30-page report12,000 / 600$0.0026
Code edit6,000 / 1,500$0.0018
Agentic coding session60,000 / 4,000$0.014
Structured extraction2,000 / 200$0.0005

See also

Data as of 17 Sept 2026. Compare with another model.

Cite as: BenchLeader, “Jamba Mini: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/jamba-mini, data as of 17 Sept 2026.