Model profile
MiniCPM5-1B
Evidence coverage
14 of 323 tracked benchmarks are published. 14 are verified and 0 provisional. 6 of 8 categories are measured.
- Published / tracked
- 14 / 323
- Verified
- 14
- Provisional
- 0
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic1 benchmarkVerified
- Coding2 benchmarksVerified
- Reasoning1 benchmarkVerified
- Knowledge4 benchmarksVerified
- Math4 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following2 benchmarksVerified
BenchLM is tracking MiniCPM5-1B, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
MiniCPM5-1B is a open weight model with a 131K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 14 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#30), while its weakest is Agentic (#71). This performance profile makes it a well-rounded choice across a range of tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 77.44–83.93
- Claude Mythos 5AnthropicCompare#183.93Claude Mythos 5 is #1 with a score of 83.93.
- Claude Fable 5AnthropicCompare#283.68Claude Fable 5 is #2 with a score of 83.68.
- GPT-5.6 SolOpenAICompare#381.96GPT-5.6 Sol is #3 with a score of 81.96.
- Kimi K3Moonshot AICompare#480.96Kimi K3 is #4 with a score of 80.96.
- Claude Opus 4.8AnthropicCompare#578.34Claude Opus 4.8 is #5 with a score of 78.34.
- Muse Spark 1.1MetaCompare#677.44Muse Spark 1.1 is #6 with a score of 77.44.
- MiniCPM5-1BCurrent modelOpenBMBUnrankedNot measuredMiniCPM5-1B is Unranked with a score of Not measured.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Inst. Following3%Eligible cohort rank #30 of 31Category score 24.7
- Agentic41%Eligible cohort rank #71 of 119Category score 45.7
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #71 of 119Percentile 41stWeight 22%1 benchmarkVerified | 45.7 | #71 of 119 | 41st | 22% | 1 benchmark | Verified |
| CodingWeight 20%2 benchmarksVerified | Score pending | Not ranked | Not available | 20% | 2 benchmarks | Verified |
| ReasoningWeight 17%1 benchmarkVerified | Score pending | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank Not rankedWeight 12%4 benchmarksVerified | 39.5 | Not ranked | Not available | 12% | 4 benchmarks | Verified |
| MathRank Not rankedWeight 5%4 benchmarksVerified | 5.3 | Not ranked | Not available | 5% | 4 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #30 of 31Percentile 3rdWeight 5%2 benchmarksVerified | 24.7 | #30 of 31 | 3rd | 5% | 2 benchmarks | Verified |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic1 benchmark
Berkeley Function Calling Leaderboard v4
Coding2 benchmarks
Reasoning1 benchmark
BIG-Bench Hard
Knowledge4 benchmarks
Massive Multitask Language Understanding Professional
SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines
GPQA Diamond
Math4 benchmarks
AIME 2026
Harvard-MIT Mathematics Tournament February 2026
American Invitational Mathematics Examination 2025
MATH-500 Problem Set
Inst. Following2 benchmarks
Instruction Following Benchmark
Instruction-Following Eval
Frequently Asked Questions
How does MiniCPM5-1B perform overall in AI benchmarks?
MiniCPM5-1B has 14 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is MiniCPM5-1B good for knowledge and understanding?
MiniCPM5-1B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is MiniCPM5-1B good for coding and programming?
MiniCPM5-1B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is MiniCPM5-1B good for mathematics?
MiniCPM5-1B has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is MiniCPM5-1B good for reasoning and logic?
MiniCPM5-1B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is MiniCPM5-1B good for agentic tool use and computer tasks?
MiniCPM5-1B ranks #71 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 45.7. There are stronger options in this category.
Is MiniCPM5-1B good for instruction following?
MiniCPM5-1B ranks #30 out of 31 models in instruction following benchmarks with an average score of 24.7. There are stronger options in this category.
Is MiniCPM5-1B open source?
Yes, MiniCPM5-1B is an open weight model created by OpenBMB, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does MiniCPM5-1B have full benchmark coverage on BenchLM?
Not yet. MiniCPM5-1B currently has 14 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of MiniCPM5-1B?
MiniCPM5-1B has a published context window of 131K, which determines how much text it can process in a single interaction.
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