OpenBMBLanguage model
MiniCPM5-1B
MiniCPM5-1B has no overall index value yet because there are too few independent benchmark results.
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Summary
MiniCPM5-1B is the first compact checkpoint in OpenBMB’s MiniCPM5 family. It has 1.08 billion parameters and a 131,072-token context. The same checkpoint can switch between Think and No Think.
Tool calls use the documented XML format. OpenBMB describes an SGLang parser that converts it into OpenAI-compatible tool_calls. MiniCPM5-2B is a separate, larger family member, while MiniCPM5-1B is the one of the two that can switch between Think and No Think. The chat template and parser are therefore part of the 1B model’s technical interface.
All benchmark results
Every published result with its source, test setup and comparison models.
Show all 45 published benchmark results
Page 1 of 4
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
CritPt v2: Overall (Show measurement, test conditions, and source)
- Source value
- 0
- Score
- 0
- Metric
- pass@1 accuracy
- Unit
- %
- Benchmark version
- v2
- Category
- reasoning
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- disputed
- Retrieved at
- 2026-11-02
- Methodology
- Exact AA configuration: MiniCPM5-1B (Reasoning) (release minicpm5-1b, row minicpm5-1b, UUID 77f5ff8b-1536-474a-a337-e1bfd138d343, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/77f5ff8b-1536-474a-a337-e1bfd138d343/minicpm5-1b/minicpm5-1b. Source model name: MiniCPM5-1B. Provider reported by source: OpenBMB. Model snapshot: MiniCPM5-1B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 0.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=Reasoning
- Comparison methodology
- Exact AA configuration: MiniCPM5-1B (Reasoning) (release minicpm5-1b, row minicpm5-1b, UUID 77f5ff8b-1536-474a-a337-e1bfd138d343, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
- Context
- This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.
CritPt v2: Overall (Show measurement, test conditions, and source)
- Source value
- 0
- Score
- 0
- Metric
- pass@1 accuracy
- Unit
- %
- Benchmark version
- v2
- Category
- reasoning
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- disputed
- Retrieved at
- 2026-11-02
- Methodology
- Exact AA configuration: MiniCPM5-1B (Non-reasoning) (release minicpm5-1b, row minicpm5-1b-non-reasoning, UUID d306cccd-0085-4b2f-8aa0-ffcdbb434695, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/d306cccd-0085-4b2f-8aa0-ffcdbb434695/minicpm5-1b/minicpm5-1b-non-reasoning. Source model name: MiniCPM5-1B. Provider reported by source: OpenBMB. Model snapshot: MiniCPM5-1B (Non-reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: non-reasoning. Reasoning effort: none. Score display: 0.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:non-reasoning:effort=unspecified:suffix=Non-reasoning
- Comparison methodology
- Exact AA configuration: MiniCPM5-1B (Non-reasoning) (release minicpm5-1b, row minicpm5-1b-non-reasoning, UUID d306cccd-0085-4b2f-8aa0-ffcdbb434695, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: non-reasoning. Reasoning effort: none
- Context
- This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.
IFBench: Overall (Show measurement, test conditions, and source)
- Source value
- 49.319727891156504
- Score
- 49.319727891156504
- Metric
- IFBench prompt-level loose accuracy (pass@1)
- Unit
- %
- Benchmark version
- AA test set: 294 questions
- Category
- general
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- superseded
- Retrieved at
- 2026-11-02
- Methodology
- Exact AA configuration: MiniCPM5-1B (Reasoning) (release minicpm5-1b, row minicpm5-1b, UUID 77f5ff8b-1536-474a-a337-e1bfd138d343, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/77f5ff8b-1536-474a-a337-e1bfd138d343/minicpm5-1b/minicpm5-1b. Source model name: MiniCPM5-1B. Provider reported by source: OpenBMB. Model snapshot: MiniCPM5-1B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 49.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=Reasoning
- Comparison methodology
- Exact AA configuration: MiniCPM5-1B (Reasoning) (release minicpm5-1b, row minicpm5-1b, UUID 77f5ff8b-1536-474a-a337-e1bfd138d343, reasoning=true, effort=not specified, suffix=Reasoning). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
- Context
- The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.
IFBench: Overall (Show measurement, test conditions, and source)
- Source value
- 49.319727891156504
- Score
- 49.319727891156504
- Metric
- IFBench prompt-level loose accuracy (pass@1)
- Unit
- %
- Benchmark version
- AA test set: 294 questions
- Category
- general
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-11-07
- Methodology
- Exact AA configuration: MiniCPM5-1B (Reasoning) (release minicpm5-1b, row minicpm5-1b, UUID 77f5ff8b-1536-474a-a337-e1bfd138d343, reasoning=true, effort=not specified, suffix=Reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/77f5ff8b-1536-474a-a337-e1bfd138d343/minicpm5-1b/minicpm5-1b. Source model name: MiniCPM5-1B. Provider reported by source: OpenBMB. Model snapshot: MiniCPM5-1B (Reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 49.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=Reasoning
- Comparison methodology
- Exact AA configuration: MiniCPM5-1B (Reasoning) (release minicpm5-1b, row minicpm5-1b, UUID 77f5ff8b-1536-474a-a337-e1bfd138d343, reasoning=true, effort=not specified, suffix=Reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
- Context
- The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.
IFBench: Overall (Show measurement, test conditions, and source)
- Source value
- 35.1700680272109
- Score
- 35.1700680272109
- Metric
- IFBench prompt-level loose accuracy (pass@1)
- Unit
- %
- Benchmark version
- AA test set: 294 questions
- Category
- general
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- superseded
- Retrieved at
- 2026-11-02
- Methodology
- Exact AA configuration: MiniCPM5-1B (Non-reasoning) (release minicpm5-1b, row minicpm5-1b-non-reasoning, UUID d306cccd-0085-4b2f-8aa0-ffcdbb434695, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/d306cccd-0085-4b2f-8aa0-ffcdbb434695/minicpm5-1b/minicpm5-1b-non-reasoning. Source model name: MiniCPM5-1B. Provider reported by source: OpenBMB. Model snapshot: MiniCPM5-1B (Non-reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none. Score display: 35.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:non-reasoning:effort=unspecified:suffix=Non-reasoning
- Comparison methodology
- Exact AA configuration: MiniCPM5-1B (Non-reasoning) (release minicpm5-1b, row minicpm5-1b-non-reasoning, UUID d306cccd-0085-4b2f-8aa0-ffcdbb434695, reasoning=false, effort=not specified, suffix=Non-reasoning). AA marks this model variant as non-reasoning and reports 0 reasoning tokens. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none
- Context
- The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.
IFBench: Overall (Show measurement, test conditions, and source)
- Source value
- 35.1700680272109
- Score
- 35.1700680272109
- Metric
- IFBench prompt-level loose accuracy (pass@1)
- Unit
- %
- Benchmark version
- AA test set: 294 questions
- Category
- general
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-11-07
- Methodology
- Exact AA configuration: MiniCPM5-1B (Non-reasoning) (release minicpm5-1b, row minicpm5-1b-non-reasoning, UUID d306cccd-0085-4b2f-8aa0-ffcdbb434695, reasoning=false, effort=not specified, suffix=Non-reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/d306cccd-0085-4b2f-8aa0-ffcdbb434695/minicpm5-1b/minicpm5-1b-non-reasoning. Source model name: MiniCPM5-1B. Provider reported by source: OpenBMB. Model snapshot: MiniCPM5-1B (Non-reasoning). Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none. Score display: 35.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:non-reasoning:effort=unspecified:suffix=Non-reasoning
- Comparison methodology
- Exact AA configuration: MiniCPM5-1B (Non-reasoning) (release minicpm5-1b, row minicpm5-1b-non-reasoning, UUID d306cccd-0085-4b2f-8aa0-ffcdbb434695, reasoning=false, effort=not specified, suffix=Non-reasoning). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: non-reasoning. Reasoning effort: none
- Context
- The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.
JevBench public-only overall accuracy (Show measurement, test conditions, and source)
- Source value
- 58.87
- Score
- 58.87
- Metric
- Accuracy
- Unit
- %
- Benchmark version
- JevBench bb05a335; dataset dc3995d8; Ardana result page measured 2026-10-13
- Direction
- Higher is better
- Sample
- 231
- Lower confidence bound
- 52.32
- Upper confidence bound
- 65.38
- Source type
- community-reported
- Evaluator
- Ardana JevBench results page
- Status
- active
- Retrieved at
- 2026-10-18
- Methodology
- Community-reported result. Ardana evaluator page; JevBench public items only; exact model tag minicpm5:1b; official OpenBMB openbmb/MiniCPM5-1B-GGUF artifact at the revision shown as 3d55fac8; default quant MiniCPM5-1B-Q8_0.gguf (1.2 GB); stock instruct model; zero-shot chat layout; one run; 95% bootstrap interval resamples items with paraphrase pairs kept together; 600 s client timeout.
- Context
- Ardana is the primary source for its own JevBench run, but institutional independence is not established and attribution is therefore community-reported. The evaluation uses only public JevBench items, including only the public half of the hard tier, and is not comparable with the leaderboard that includes held-out items. One run per quant was performed. Prompt details, sampling parameters and hardware are not stated.
JevBench public-only Easy-tier accuracy (Show measurement, test conditions, and source)
- Source value
- 95.83
- Score
- 95.83
- Metric
- Accuracy; Easy difficulty tier
- Unit
- %
- Benchmark version
- JevBench bb05a335; dataset dc3995d8; Ardana result page measured 2026-10-13
- Direction
- Higher is better
- Sample
- 48
- Source type
- community-reported
- Evaluator
- Ardana JevBench results page
- Status
- active
- Retrieved at
- 2026-10-18
- Methodology
- Community-reported result. Ardana evaluator page; JevBench public items only; exact model tag minicpm5:1b; official OpenBMB openbmb/MiniCPM5-1B-GGUF artifact at the revision shown as 3d55fac8; default quant MiniCPM5-1B-Q8_0.gguf (1.2 GB); stock instruct model; zero-shot chat layout; one run; Difficulty tier Easy; n=48. 600 s client timeout.
- Context
- Ardana is the primary source for its own JevBench run, but institutional independence is not established and attribution is therefore community-reported. The evaluation uses only public JevBench items, including only the public half of the hard tier, and is not comparable with the leaderboard that includes held-out items. One run per quant was performed. Prompt details, sampling parameters and hardware are not stated. No interval is reported for difficulty subsets.
JevBench public-only Standard-tier accuracy (Show measurement, test conditions, and source)
- Source value
- 59.72
- Score
- 59.72
- Metric
- Accuracy; Standard difficulty tier
- Unit
- %
- Benchmark version
- JevBench bb05a335; dataset dc3995d8; Ardana result page measured 2026-10-13
- Direction
- Higher is better
- Sample
- 72
- Source type
- community-reported
- Evaluator
- Ardana JevBench results page
- Status
- active
- Retrieved at
- 2026-10-18
- Methodology
- Community-reported result. Ardana evaluator page; JevBench public items only; exact model tag minicpm5:1b; official OpenBMB openbmb/MiniCPM5-1B-GGUF artifact at the revision shown as 3d55fac8; default quant MiniCPM5-1B-Q8_0.gguf (1.2 GB); stock instruct model; zero-shot chat layout; one run; Difficulty tier Standard; n=72. 600 s client timeout.
- Context
- Ardana is the primary source for its own JevBench run, but institutional independence is not established and attribution is therefore community-reported. The evaluation uses only public JevBench items, including only the public half of the hard tier, and is not comparable with the leaderboard that includes held-out items. One run per quant was performed. Prompt details, sampling parameters and hardware are not stated. No interval is reported for difficulty subsets.
JevBench public-only Hard-tier accuracy (Show measurement, test conditions, and source)
- Source value
- 42.34
- Score
- 42.34
- Metric
- Accuracy; Hard difficulty tier
- Unit
- %
- Benchmark version
- JevBench bb05a335; dataset dc3995d8; Ardana result page measured 2026-10-13
- Direction
- Higher is better
- Sample
- 111
- Source type
- community-reported
- Evaluator
- Ardana JevBench results page
- Status
- active
- Retrieved at
- 2026-10-18
- Methodology
- Community-reported result. Ardana evaluator page; JevBench public items only; exact model tag minicpm5:1b; official OpenBMB openbmb/MiniCPM5-1B-GGUF artifact at the revision shown as 3d55fac8; default quant MiniCPM5-1B-Q8_0.gguf (1.2 GB); stock instruct model; zero-shot chat layout; one run; Difficulty tier Hard; n=111. 600 s client timeout.
- Context
- Ardana is the primary source for its own JevBench run, but institutional independence is not established and attribution is therefore community-reported. The evaluation uses only public JevBench items, including only the public half of the hard tier, and is not comparable with the leaderboard that includes held-out items. One run per quant was performed. Prompt details, sampling parameters and hardware are not stated. No interval is reported for difficulty subsets.
Quantization Benchmark, Overall, FP (bf16) (Show measurement, test conditions, and source)
- Source value
- 66.16
- Score
- 66.16
- Metric
- accuracy
- Unit
- %
- Direction
- No direction published
- Source type
- community-reported
- Evaluator
- LiteRT Community, MiniCPM5-1B Hugging Face model card
- Status
- active
- Retrieved at
- 2026-10-18
- Methodology
- Community-reported result. Category Overall; FP (bf16) full-precision baseline. Thinking mode is off; temperature 0.6, top-p 0.95, random seed 0. The source says the columns use the same evaluation benchmark but does not name its dataset, sample count, or confidence interval.
Quantization Benchmark, Overall, W4 (Show measurement, test conditions, and source)
- Source value
- 60.91
- Score
- 60.91
- Metric
- accuracy
- Unit
- %
- Direction
- No direction published
- Source type
- community-reported
- Evaluator
- LiteRT Community, MiniCPM5-1B Hugging Face model card
- Status
- active
- Retrieved at
- 2026-10-18
- Methodology
- Community-reported result. Category Overall; W4 mixed INT4-block32 for linear weights and INT8 for embeddings and lmhead, with FP32 activations (afp32). Thinking mode is off; temperature 0.6, top-p 0.95, random seed 0. The source says the columns use the same evaluation benchmark but does not name its dataset, sample count, or confidence interval.
Page 1 of 4
Popularity compared
How often the model is searched for, used and mentioned, compared with every model of its category.
Popularity index
The 100 most popular models of this category, 0 to 100, higher is more popular
20 of 100 models
As of November 2026 · Source: gradually.ai popularity index
Over time
Weekly values from October 18, 2026 to November 7, 2026
MiniCPM5-1BSWE-2 51Qwen 3 Coder 480B A35B 51MiniMax M3.1 Flash 51GLM-5.2 51
Method changes in the timeline, a jump at these points is no market event:
- 1November 1, 2026: Value only with search or usage data, 30-day attention
What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.
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- K2 Horizon 0.9BInstitute of Foundation Models · similar size
- Qwen3.5 2BAlibaba · similar size
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All specifications
Architecture
Input and output
Watermarking and provenance
AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.
- AI watermarking
- Unknown
- no source
- Watermarking technique
- Not known
- no source
Licence and access
Frequently asked questions about MiniCPM5-1B
How large is the context window of MiniCPM5-1B?
131,072 tokens. That is how much text MiniCPM5-1B reads at once, about 200 A4 pages.
Page count as a rule of thumb from Artificial Analysis
GLM-5.1200K
DeepSeek-V3 0324164K
MiniCPM5-1BRank 94 of 103131K
GLM-4.5131K
GPT OSS 120B131K
DeepSeek-V3.2128K
DeepSeek-R1128K
Can I run MiniCPM5-1B locally?
Yes, the weights are open.
Stated by OpenBMB
- Open weights
- yes
- License
- Apache 2.0
- Parameters
- 1B
- active per token
- n/a
Sources and data date
Show all 17 sources
Benchmark sources at a glance
Which independent evaluators tested this model. This is coverage, not a quality ranking.
| Evaluator | Test series | Composite indices | Recorded active measurements |
|---|---|---|---|
| Artificial Analysis | 1 | 0 | 2 |
Without vendor claims and historical or disputed results; those stay labelled in the single values.