OpenBMB model product
MiniCPM SALA is a 9B hybrid language model from OpenBMB that combines sparse and linear attention for long-context inference.
Updated Sep 8, 2026. Default version: MiniCPM-SALA
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for MiniCPM-SALA.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkHumanEval | Score95.12% | Rank01 | Participants66 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR 128K (2-needle) | Score28.62% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR 128K (4-needle) | Score19.62% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR 64K (2-needle) | Score29.77% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR 64K (4-needle) | Score20.57% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR 64K (8-needle) | Score16.56% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkNoLiMa 128K | Score23.86% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkNoLiMa 32K | Score54.54% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkNoLiMa 64K | Score42.95% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRULER 1000K | Score86.30% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRULER 128k | Score89.37% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRULER 2048K | Score81.60% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRULER 512K | Score87.10% | Rank01 | Participants1 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkRULER 64k | Score92.65% | Rank01 | Participants4 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkMRCR 128K (8-needle) | Score10.12% | Rank02 | Participants2 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v5 | Score60.48% | Rank04 | Participants9 | Percentile62.50% | EvidenceC | Evaluated |
| BenchmarkMBPP | Score89.11% | Rank04 | Participants33 | Percentile90.63% | EvidenceC | Evaluated |
| BenchmarkCMMLU | Score81.55% | Rank05 | Participants6 | Percentile20.00% | EvidenceC | Evaluated |
| BenchmarkBBH | Score81.55% | Rank08 | Participants12 | Percentile36.36% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score83.75% | Rank19 | Participants53 | Percentile65.38% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score52.00% | Rank53 | Participants62 | Percentile14.75% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score76.34% | Rank59 | Participants68 | Percentile13.43% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score78.33% | Rank77 | Participants119 | Percentile35.59% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score67.04% | Rank103 | Participants138 | Percentile25.55% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for MiniCPM-SALA. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionMiniCPM-SALA | Released | LLMBoard24.44 | Parameters9.5B | ContextN/A | Max outputN/A | Open weightsYes | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about MiniCPM SALA and its available data.
0 checkpoint through continual training on approximately 2T tokens. It interleaves 25% InfLLM-V2 sparse attention and 75% Lightning Attention layers, with HyPE and NoPE in sparse layers, supporting inference up to 2048K tokens after training at 520K tokens.
Data as of 2026-09-08.
Common questions about MiniCPM SALA.
MiniCPM SALA's default version was released on Feb 11, 2026.
No official standard PAYG price is currently available for MiniCPM SALA.
MiniCPM SALA was created by OpenBMB.
A context window is not available for the default version.
Yes. The default version is marked as open weight under Apache 2.0.
No provider offering is currently linked to the default version.