z-ai/glm-5.3-flash

Correctness?

Efficiency?

Robustness?

Correctness says whether it can do the work; efficiency whether it finishes inside the same budget everyone gets; robustness whether it invents or omits. A low score should be readable as one of these, not a mystery.

Task type × domain?

Strict pass over this model’s tasks (share answered exactly right · task count). Rows are task types, columns are the data the answer lives in.

Where the points went?

Every task not answered exactly right, bucketed by what went wrong. 18 tasks.

Task families?

Lowest-scoring tasks?

Public example tasks link to the full question and every model’s answer; hidden tasks show only the family, the score and why.

• 0.0
  S-CR06-MToken DEX Liquidity Threshold (pools) — median of a rebuilt metric over the matchesview task

  A token's aggregate DEX liquidity is the sum of pool liquidity over every pool in the universe (same network) whose base token is that token; every pool of a qualifying token matches. Find DEX liquidity pools in the top-200-by-24h-volume universe of each supported network with base token's aggregate DEX liquidity greater than $50M, network equal to base. Scope: only entities with a known value for token dex liquidity usd, network in the snapshot; entities lacking any of them are out of scope and must not be returned. Entity ids are pool ids of the form network:pooladdress exactly as listed in the snapshot. EVM pool addresses (0x…) are lowercase hex and case-insensitive; Solana and other base58 addresses are CASE-SENSITIVE and must be returned exactly as shown. Across ALL entities that match the conditions above, what is the median Base token DEX liquidity (USD) (Sum of pool_liquidity_usd over every fetched pool on the same network whose base token has the same contract address (the token's aggregate liquidity within the supported pool universe).)? Median = the middle value, or the mean of the two middle values for an even count. Answer in absolute USD. Clarification: in "network equal to base", base is the network id of the Base L2 chain (the value of the network field), not the pool's base token; the condition keeps only pools whose network field equals "base".

  Expected 84.78M, got 130.67M (54% off) — outside tolerance.
• 0.0
  S-EQ34-NMulti-period Consistency — count of matchesview task

  Fundamental ratios are not served as fields: rebuild each one from the raw SEC facts (get_equity_financials) exactly as defined in list_metrics.compute_yourself, using the latest filing at or before the data cutoff; a company whose filings lack the needed facts is out of scope. The condition must hold in EACH of the last three reported quarters (i.e. the minimum YoY growth across them exceeds the threshold). Find US-listed common equities (instruments without a reported market cap — warrants, units, rights, preferred series, notes — are not in the universe) with market cap greater than $2B, 20-day average dollar volume greater than $100M, minimum revenue growth (YoY) across the last 3 quarters greater than 15%. Scope: only entities with a known value for 20-day average dollar volume, minimum revenue growth (YoY) across the last 3 quarters in the snapshot; entities lacking any of them are out of scope and must not be returned. How many entities match ALL of the conditions above? Answer with the integer count (0 if none). Filing-version policy: every financial value is taken from the LATEST filing accepted by the SEC at or before the data cutoff that reports the requested period. If a later filing (before the cutoff) restates an earlier period, the restated value is the answer; the original filing's value is not. A fiscal-year value is taken only from an annual report (10-K / 20-F / 40-F, including amendments) — a quarterly report never supplies an annual value. Rebuild policy: metrics that are not served as fields (fundamental ratios, growth rates, valuation, technical signals) must be recomputed by you from the raw facts and daily bars the tools serve, following the definitions in list_metrics.compute_yourself to the letter (period selection, latest-filing copy, quarter arithmetic); do the arithmetic with run_calculation over the fetched data. The reference answer was computed from the same facts by the same definitions.

  Expected 178, got 177 (1% off) — outside tolerance.
• 0.0
  S-EQ23-XX-NQuality Screen (ROE + operating margin as proxies) — plus two more hidden conditions — count of matcheshidden

  Expected 1, got 0 (1.00 off) — outside tolerance.
• 0.0
  S-EQ19-XX-NRevenue Growth Screen — plus two more hidden conditions — count of matcheshidden

  Expected 1, got 0 (1.00 off) — outside tolerance.
• 33.3
  S-EQ25-AGrowth + Valuation (trailing P/E as a proxy for EV/Sales) — count, mean and median of a rebuilt metric over the matcheshidden

  1 of 3 fields correct; wrong: count, mean.
• 33.3
  S-EQ22-AProfitability Screen (gross + operating margin) — count, mean and median of a rebuilt metric over the matcheshidden

  1 of 3 fields correct; wrong: count, mean.
• 57.1
  S-EQ13-XXATR Volatility — plus two more hidden conditionshidden

  Gold has 5, the model returned 2: 2 correct, 3 missed → F1 57%. Not a strict pass.
• 66.7
  S-EQ11-ARSI Range — count, mean and median of a rebuilt metric over the matcheshidden

  2 of 3 fields correct; wrong: median.