// capabilities · taxonomy v0.2

Model by model
What each one is good at

A Monday Score says how far a model got. This says where it lost the points: the same atomic criteria as the scenario leaderboards, regrouped by the capability they measure, whichever Monday they come from.

Every criterion in the benchmark maps to exactly one capability, so every criterion counts exactly once. #001’s noise-resistance dimension is scored as a whole, so it maps as one more entry.

  • 22 capabilities
  • 118 criteria
  • 500 rubric points
  • 15 11 models

How to read it

  1. Nothing here changes a scenario result: these percentages are a decomposition of results that already exist.
  2. There is no capability total and no capability winner, because summing capabilities would weight them by whatever point mass the rubrics gave them.
  3. Penalties are excluded. A scenario penalty is a global deduction, and attributing one to a capability would mean inventing the attribution.

Read it across rows. Two models are comparable on one capability; two capabilities on the same model are not, because the weighting is whatever point mass the rubrics happened to give them and says nothing about importance.

All models Open-weight models only

Scenarios included #001 · #002 · #003 · #004 · #005

Execution and judgment 6 capabilities · 32 criteria · 169 pts

Business judgment

spread 50 spread 48 · 6 criteria · 21 pts · #004

Turn an analysis into a decision a leadership team can act on, choosing the metric the decision actually depends on, and stating the conclusion explicitly, outside the workings.

  • GPT-6 Astra closed 100%
  • GLM 5.3 Flash 98%
  • Qwen 3.8 Flash 98%
  • Claude Opus 5 closed 92%
  • GLM 5.3 90%
  • DeepSeek V4 Flash 86%
  • MIMO v2.5 86%
  • Claude Fable 5.1 closed 79%
  • Gemini 3.8 Flash (High) closed 67%
  • DeepSeek V4.1 Flash 64%
  • MiMo v2.6 Flash 64%
  • GLM 5.2 62%
  • Gemma 4 60%
  • Qwen 3.6 52%
  • DeepSeek V4.1 Flash (1017) 50%

Planning

spread 35 spread 26 · 5 criteria · 30 pts · #002 #003

Produce a sequence that actually runs: the right option chosen, work parallelised where it can be, and the schedule coherent with its own dependencies.

  • Claude Opus 5 closed 100%
  • GPT-6 Astra closed 100%
  • DeepSeek V4 Flash 91%
  • DeepSeek V4.1 Flash 91%
  • MIMO v2.5 87%
  • Claude Fable 5.1 closed 87%
  • DeepSeek V4.1 Flash (1017) 87%
  • MiMo v2.6 Flash 87%
  • Qwen 3.8 Flash 86%
  • GLM 5.3 Flash 83%
  • GLM 5.2 81%
  • GLM 5.3 80%
  • Gemini 3.8 Flash (High) closed 79%
  • Qwen 3.6 69%
  • Gemma 4 65%

Resource allocation

spread 30 spread 25 · 3 criteria · 21 pts · #003

Resolve contention for a scarce person or window, including choosing what that person should not do.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • GPT-6 Astra closed 100%
  • GLM 5.3 96%
  • DeepSeek V4.1 Flash 92%
  • DeepSeek V4.1 Flash (1017) 91%
  • GLM 5.3 Flash 87%
  • MIMO v2.5 87%
  • MiMo v2.6 Flash 86%
  • DeepSeek V4 Flash 80%
  • Qwen 3.8 Flash 79%
  • Qwen 3.6 79%
  • GLM 5.2 75%
  • Gemma 4 71%
  • Gemini 3.8 Flash (High) closed 70%

Prioritization

spread 28 spread 27 · 11 criteria · 60 pts · #001 #002 #003

Identify which items require action now, order them against each other, and keep resolved, delegated or cosmetic items from displacing real work.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • GPT-6 Astra closed 100%
  • GLM 5.3 Flash 99%
  • DeepSeek V4.1 Flash 97%
  • GLM 5.3 97%
  • Gemini 3.8 Flash (High) closed 94%
  • Qwen 3.8 Flash 93%
  • DeepSeek V4 Flash 92%
  • DeepSeek V4.1 Flash (1017) 88%
  • GLM 5.2 86%
  • MiMo v2.6 Flash 82%
  • MIMO v2.5 81%
  • Qwen 3.6 79%
  • Gemma 4 72%

Action safety

spread 7 · 4 criteria · 23 pts · #001 #002 #004

Decline actions the evidence rules out — sending confidential material externally, acting on a superseded instruction, scaling spend on a misleading figure, chasing an item that is already closed.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MIMO v2.5 100%
  • Qwen 3.6 100%
  • Qwen 3.8 Flash 100%
  • MiMo v2.6 Flash 96%
  • Gemma 4 94%

Ownership and delegation

separates nobody · 3 criteria · 14 pts · #001 #002 #003

Establish who currently owns a piece of work, and route work to the person who should hold it.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • Gemma 4 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MIMO v2.5 100%
  • MiMo v2.6 Flash 100%
  • Qwen 3.6 100%
  • Qwen 3.8 Flash 100%

Reasoning 5 capabilities · 39 criteria · 151 pts

Temporal reasoning

spread 76 · 3 criteria · 14 pts · #002 #003

Reason about dates, durations, deadlines and availability windows, and decide what is reachable within them.

  • DeepSeek V4.1 Flash (1017) 100%
  • GPT-6 Astra closed 100%
  • Claude Opus 5 closed 93%
  • DeepSeek V4.1 Flash 86%
  • GLM 5.3 79%
  • MiMo v2.6 Flash 79%
  • Qwen 3.8 Flash 79%
  • Claude Fable 5.1 closed 71%
  • DeepSeek V4 Flash 71%
  • GLM 5.2 71%
  • MIMO v2.5 71%
  • GLM 5.3 Flash 64%
  • Gemini 3.8 Flash (High) closed 57%
  • Qwen 3.6 46%
  • Gemma 4 24%

Quantitative reasoning

spread 70 · 16 criteria · 66 pts · #001 #002 #004 #005

Compute a business figure correctly and choose the right basis for it: rates against the right denominator, the full distribution where an average would mislead, like-for-like comparisons, and normalisation before comparison.

  • GLM 5.3 Flash 98%
  • GPT-6 Astra closed 97%
  • GLM 5.3 94%
  • DeepSeek V4.1 Flash 93%
  • Qwen 3.8 Flash 93%
  • Claude Fable 5.1 closed 93%
  • Claude Opus 5 closed 89%
  • MiMo v2.6 Flash 88%
  • DeepSeek V4 Flash 84%
  • DeepSeek V4.1 Flash (1017) 83%
  • Gemini 3.8 Flash (High) closed 82%
  • MIMO v2.5 81%
  • GLM 5.2 79%
  • Qwen 3.6 57%
  • Gemma 4 28%

Dependency reasoning

spread 39 spread 27 · 5 criteria · 25 pts · #002 #003

Reconstruct what must happen before what, identify the chain that sets a delivery date, and keep work that is not on that chain off it.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • GPT-6 Astra closed 100%
  • Qwen 3.8 Flash 100%
  • DeepSeek V4.1 Flash (1017) 97%
  • DeepSeek V4.1 Flash 91%
  • GLM 5.3 Flash 91%
  • DeepSeek V4 Flash 87%
  • GLM 5.2 87%
  • GLM 5.3 83%
  • MiMo v2.6 Flash 79%
  • MIMO v2.5 76%
  • Gemma 4 75%
  • Qwen 3.6 73%
  • Gemini 3.8 Flash (High) closed 61%

Uncertainty calibration

spread 39 spread 36 · 7 criteria · 23 pts · #001 #002 #003 #004 #005

Identify what cannot be determined from the sources, say so, hold back any number or verdict on it, and name the evidence that would settle it.

  • Claude Opus 5 closed 99%
  • DeepSeek V4.1 Flash (1017) 96%
  • DeepSeek V4 Flash 94%
  • Gemini 3.8 Flash (High) closed 94%
  • GLM 5.2 94%
  • GLM 5.3 Flash 94%
  • Claude Fable 5.1 closed 91%
  • GPT-6 Astra closed 91%
  • GLM 5.3 91%
  • MIMO v2.5 89%
  • Qwen 3.8 Flash 89%
  • DeepSeek V4.1 Flash 87%
  • MiMo v2.6 Flash 86%
  • Qwen 3.6 78%
  • Gemma 4 59%

Causal discipline

spread 42 · 8 criteria · 23 pts · #001 #002 #004 #005

Refuse a causal claim the evidence does not support, while still reporting the pattern. The failure mode is a plausible mechanism stated as a finding.

  • DeepSeek V4 Flash 100%
  • GPT-6 Astra closed 100%
  • Qwen 3.8 Flash 100%
  • DeepSeek V4.1 Flash 97%
  • MIMO v2.5 97%
  • Claude Opus 5 closed 96%
  • GLM 5.3 Flash 94%
  • Claude Fable 5.1 closed 93%
  • DeepSeek V4.1 Flash (1017) 92%
  • GLM 5.2 90%
  • GLM 5.3 90%
  • MiMo v2.6 Flash 84%
  • Gemma 4 73%
  • Gemini 3.8 Flash (High) closed 69%
  • Qwen 3.6 58%

Information handling 6 capabilities · 28 criteria · 117 pts

Factual accuracy

spread 67 · 2 criteria · 8 pts · #003 #004

Carry supplied values — deadlines, durations, owners, counts, totals — through the whole answer without substituting different ones. It measures whether a figure already given stays intact; deriving the right figure belongs to Quantitative reasoning.

  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • GPT-6 Astra closed 100%
  • DeepSeek V4 Flash 88%
  • Qwen 3.8 Flash 88%
  • Gemini 3.8 Flash (High) closed 75%
  • MiMo v2.6 Flash 75%
  • Gemma 4 69%
  • GLM 5.2 65%
  • GLM 5.3 65%
  • Claude Opus 5 closed 60%
  • GLM 5.3 Flash 50%
  • MIMO v2.5 48%
  • Claude Fable 5.1 closed 40%
  • Qwen 3.6 33%

Entity resolution

spread 100 · 1 criterion · 4 pts · #004

Join records about the same entity whose identifiers differ between files, and notice when a naive join has silently dropped one.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • Qwen 3.8 Flash 100%
  • GLM 5.2 67%
  • MIMO v2.5 67%
  • MiMo v2.6 Flash 67%
  • Gemma 4 0%
  • Qwen 3.6 0%

Supersession

spread 40 · 6 criteria · 27 pts · #002 #003 #005

Recognise that a later source overrides an earlier one, and act on the later one. Distinct from state reconstruction: here both facts are present and explicit, and the question is which of them still holds.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • DeepSeek V4 Flash 94%
  • MiMo v2.6 Flash 94%
  • Qwen 3.8 Flash 93%
  • GLM 5.2 91%
  • MIMO v2.5 91%
  • Qwen 3.6 75%
  • Gemma 4 60%

Data cleaning

spread 70 · 2 criteria · 10 pts · #004

Detect and correct artifacts in the data itself — duplicated records, values recorded on a basis that is not comparable — before computing anything from them.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MIMO v2.5 100%
  • MiMo v2.6 Flash 100%
  • Qwen 3.8 Flash 100%
  • Qwen 3.6 67%
  • Gemma 4 30%

Cross-source reconciliation

spread 39 · 4 criteria · 18 pts · #002 #004

Build one finding from several sources that no single source supports, and refuse a finding that one source appears to support but another explains away.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MIMO v2.5 96%
  • Qwen 3.8 Flash 96%
  • MiMo v2.6 Flash 89%
  • Qwen 3.6 82%
  • Gemma 4 61%

State reconstruction

spread 17 · 13 criteria · 50 pts · #001 #002 #003 #005

Determine the current state of a thing — an incident, a release, a contract, a piece of work — from evidence that is scattered across sources and partly out of date. The failure mode is reporting a state that was true earlier.

  • Claude Fable 5.1 closed 100%
  • DeepSeek V4.1 Flash 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • Claude Opus 5 closed 99%
  • DeepSeek V4 Flash 99%
  • Qwen 3.8 Flash 99%
  • DeepSeek V4.1 Flash (1017) 98%
  • MIMO v2.5 98%
  • Gemini 3.8 Flash (High) closed 97%
  • MiMo v2.6 Flash 96%
  • Qwen 3.6 91%
  • Gemma 4 83%

Communication 5 capabilities · 20 criteria · 63 pts

Information routing

spread 43 · 2 criteria · 7 pts · #005

Deliver a fact to the internal audience that needs it in order to act. The mirror image of information boundaries: that capability is about what must not leave, this one about what must arrive. They are separated because monday-005 measured them separately and they came apart — across every official run no model disclosed any of the four explicit confidential classes externally, while the criterion asking whether the same security item reached the engineering handoff was tied for the most-failed in the scenario, which shows suppression and delivery to be separate skills.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MiMo v2.6 Flash 100%
  • DeepSeek V4.1 Flash 93%
  • Gemini 3.8 Flash (High) closed 93%
  • DeepSeek V4 Flash 86%
  • GLM 5.2 86%
  • MIMO v2.5 86%
  • GLM 5.3 71%
  • Qwen 3.6 71%
  • Qwen 3.8 Flash 71%
  • DeepSeek V4.1 Flash (1017) 57%
  • Gemma 4 57%

Audience adaptation

spread 22 · 5 criteria · 17 pts · #005

Decide what a particular reader needs from a body of facts, and give them only that, without falling back on everything or on a summary of everything. The failure mode is one document written four times: correct in substance, wrong for three of its readers. It is separate from writing quality, which MondayBench does not measure: the judgment covers what is selected and at what level, and leaves expression aside.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • GLM 5.3 100%
  • DeepSeek V4 Flash 97%
  • DeepSeek V4.1 Flash 97%
  • GLM 5.2 97%
  • GLM 5.3 Flash 97%
  • MIMO v2.5 97%
  • MiMo v2.6 Flash 97%
  • Qwen 3.8 Flash 94%
  • Gemini 3.8 Flash (High) closed 92%
  • DeepSeek V4.1 Flash (1017) 91%
  • GPT-6 Astra closed 88%
  • Gemma 4 85%
  • Qwen 3.6 78%

Commitment discipline

spread 30 · 3 criteria · 10 pts · #005

Distinguish an internal estimate from an authorised external promise, and commit the organisation only to what someone has actually approved. Adjacent to uncertainty calibration, which asks whether the model knows what it does not know; this asks whether it knows what it is allowed to say.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • Gemma 4 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MiMo v2.6 Flash 100%
  • Qwen 3.8 Flash 100%
  • MIMO v2.5 77%
  • Qwen 3.6 70%

Cross-output consistency

spread 17 · 4 criteria · 16 pts · #005

Represent one underlying reality across several separately targeted artifacts so that no two of them assert incompatible states. Uniformity is explicitly not required: differing levels of detail, differing framing, and a fact present in one artifact and absent from another are all consistent. Only a contradiction of factual or commitment state counts. Cannot be measured by a scenario that produces one output, which is why nothing before monday-005 covers it.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • Gemma 4 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MIMO v2.5 100%
  • MiMo v2.6 Flash 100%
  • Qwen 3.8 Flash 100%
  • DeepSeek V4 Flash 96%
  • Qwen 3.6 83%

Information boundaries

spread 8 · 6 criteria · 13 pts · #005

Keep information that must not cross a confidentiality line on the correct side of it. suppression only: internal technical and security detail, one customer’s identity in front of another, personal data in a public artifact, and internal architecture. Distinct from action safety, which is declining an action the evidence rules out; here nothing is recommended and the disclosure is itself the harm. Deliberately does not cover making sure a fact arrives — see information routing.

  • Claude Fable 5.1 closed 100%
  • Claude Opus 5 closed 100%
  • DeepSeek V4 Flash 100%
  • DeepSeek V4.1 Flash (1017) 100%
  • DeepSeek V4.1 Flash 100%
  • Gemini 3.8 Flash (High) closed 100%
  • Gemma 4 100%
  • GLM 5.2 100%
  • GLM 5.3 100%
  • GLM 5.3 Flash 100%
  • GPT-6 Astra closed 100%
  • MIMO v2.5 100%
  • MiMo v2.6 Flash 100%
  • Qwen 3.8 Flash 100%
  • Qwen 3.6 92%

← Back to the leaderboard

// why we built this

Benchmarks are useful,
but what matters is your workload

We compare open models in production so you can tell how close they are to closed models. MondayBench is how we check whether they are really useful before they get there.