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MiniCPM5-2B

Released Sep 6, 2026 see all recent releases

Decision reading
MiniCPM5-2B is tracked, but not publicly ranked yet. The profile exposes 19 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of September 10, 2026 · How the score is built

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

19 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 56.2

Not eligible for a public rank

Price

Self-hosted; infrastructure cost varies

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 86.5 tok/s

Time to first token not measured

Context

131Ktokens

field median 256,000

Maximum output length is tracked separately

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic2/2 verified
  2. Coding5/5 verified
  3. Reasoning1/1 verified
  4. Knowledge5/5 verified
  5. Math4/4 verified
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. Following2/2 verified
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
openbmb/MiniCPM5-2BOpenBMB MiniCPM5-2B model card
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
OpenBMB publishes the dense 2B checkpoint under Apache 2.0 on Hugging Face with a 131,072-token context, plus GGUF, MLX, GPTQ, DSpark, and LiteRT-LM editions and deployment cookbooks for on-device runtimes.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordOpenBMB MiniCPM5-2B model card
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%2 benchmarksVerifiedScore pending
CodingRank Not rankedWeight 20%5 benchmarksVerified16.7
ReasoningRank Not rankedWeight 17%1 benchmarkVerified36.2
KnowledgeRank Not rankedWeight 12%5 benchmarksVerified33.1
MathRank Not rankedWeight 5%4 benchmarksVerified56.6
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingRank Not rankedWeight 5%2 benchmarksVerified60.6

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding5 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore14.4%Versus best verified row

Best verified: Claude Fable 5.1 · 81.2%

Gap66.8 behindWeightWeighted 25%
SciCodeScientific Code BenchmarkScore26.3%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap33.8 behindWeightWeighted 10%
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore46.4%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap49.6 behindWeightWeighted 10%
LiveCodeBench v6Score69.1%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap24.1 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score8.6%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap84.2 behindWeightDisplay only
Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
BFCL v4Berkeley Function Calling Leaderboard v4Score66.6%Versus best verified row

Best verified: BTL-3 · 88.5%

Gap21.9 behindWeightDisplay only
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score8.6%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap84.2 behindWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
LongBench v2Score43.7%Versus best verified row

Best verified: Qwen3.8 Max · 66.3%

Gap22.6 behindWeightWeighted 25%
Knowledge5 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore8.9%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap56.1 behindWeightWeighted 35%
MMLU-ProMassive Multitask Language Understanding ProfessionalScore70.8%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap18.8 behindWeightWeighted 20%
SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate DisciplinesScore40.8%Versus best verified row

Best verified: Qwen 3.6 Max (preview) · 73.9%

Gap33.1 behindWeightWeighted 7%
MMLU-ReduxScore84.7%Versus best verified row

Best verified: Qwen3.7 Max · 95%

Gap10.3 behindWeightDisplay only
GPQA-DGPQA DiamondScore70.2%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap25.8 behindWeightDisplay only
Math4 rows
Math benchmark values, best verified comparison, weight, and source status
AIME26AIME 2026Score86.5%Versus best verified row

Best verified: GLM-5.2 · 99.2%

Gap12.7 behindWeightWeighted 25%
HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026Score63.8%Versus best verified row

Best verified: Qwen3.7 Max · 97.1%

Gap33.3 behindWeightWeighted 25%
AIME 2025American Invitational Mathematics Examination 2025Score86.5%Versus best verified row

Best verified: MAI-Thinking-1 · 97%

Gap10.5 behindWeightDisplay only
MATH-500MATH-500 Problem SetScore94.6%Versus best verified row

Best verified: LongCat-Flash-Lite-Sparse · 95.8%

Gap1.2 behindWeightDisplay only
Inst. Following2 rows
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore66.3%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap18.7 behindWeightWeighted 70%
IFEvalInstruction-Following EvalScore86.7%Versus best verified row

Best verified: Qwen3.5-27B · 95%

Gap8.3 behindWeightDisplay only

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Sep 6, 2026 · you are here

    MiniCPM5-2B

    Not publicly ranked · Price not listed

2b

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track MiniCPM5-2B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

MiniCPM5-2B is a open weight model with a 131K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

OpenBMB publishes the dense 2B checkpoint under Apache 2.0 on Hugging Face with a 131,072-token context, plus GGUF, MLX, GPTQ, DSpark, and LiteRT-LM editions and deployment cookbooks for on-device runtimes.

MiniCPM5-2B sits in the MiniCPM5 family with MiniCPM5-1B. 19 of 434 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Radar

MiniCPM5-2B release history

Full release history

Radar confirmed these at the source. Use MiniCPM5-2B in your work? Explore Radar to follow supported changes and choose your alerts.

Frequently asked questions

How does MiniCPM5-2B perform overall in AI benchmarks?

MiniCPM5-2B has 19 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is MiniCPM5-2B good for knowledge and understanding?

MiniCPM5-2B has source-displayable benchmark coverage for knowledge and understanding, 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.

Is MiniCPM5-2B good for coding and programming?

MiniCPM5-2B has source-displayable benchmark coverage for coding and programming, 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.

Is MiniCPM5-2B good for mathematics?

MiniCPM5-2B 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.

Is MiniCPM5-2B good for reasoning and logic?

MiniCPM5-2B 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.

Is MiniCPM5-2B good for agentic tool use and computer tasks?

MiniCPM5-2B has source-displayable benchmark coverage for agentic tool use and computer tasks, 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.

Is MiniCPM5-2B good for instruction following?

MiniCPM5-2B has source-displayable benchmark coverage for instruction following, 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.

Is MiniCPM5-2B open source?

MiniCPM5-2B is an open-weight model from OpenBMB. 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.

Which sibling models are related to MiniCPM5-2B?

MiniCPM5-2B belongs to the MiniCPM5 family. Related tracked variants include MiniCPM5-1B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does MiniCPM5-2B have full benchmark coverage on BenchLM?

No. MiniCPM5-2B currently has 29 source-displayable rows across 434 tracked benchmark slots. 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.

What is the context window size of MiniCPM5-2B?

MiniCPM5-2B has a documented context window of 131K. 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.

Compare MiniCPM5-2B with every tracked model482 comparisons

Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.

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