Spark-X2.6-4B

Spark-X2.6-4B ranks #140 out of 227 models on the public BenchAlign leaderboard, with a score of 40.14/100. Its evidence status is Estimated, and this profile shows 20 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Spark-X2.6-4B ranks #109 out of 187 eligible models for knowledge and understanding, with a public category score of 43/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Spark-X2.6-4B ranks #95 out of 152 eligible models for coding and programming, with a public category score of 30.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Spark-X2.6-4B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Spark-X2.6-4B has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Spark-X2.6-4B ranks #89 out of 131 eligible models for agentic tool use and computer tasks, with a public category score of 33/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Spark-X2.6-4B ranks #62 out of 149 eligible models for instruction following, with a public category score of 78.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Spark-X2.6-4B is an open-weight model from SparkLLM. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

No. Spark-X2.6-4B currently has 21 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

Spark-X2.6-4B has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.