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Model results · Zhipu

GLM-5.3 FlashX Legal

Rank 23 of 73 in Overall Models. All three benchmark settings tested.

Score · relative 0–100
57.1
Rank
23
Status
Complete 3/3
Rank change
0
Players generated
2026-11-03
Match evidence updated
2026-11-10
Compare in charts View player programs Back to leaderboard

Reasoning settings compared

  1. MaxIntensive

    69.8 · rank 21 on the Intensive leaderboard

    Cost per program
    $0.105 · provider-reported
    Working programs
    7 of 8
    API time
    9.1 min (observed mean, descriptive)

    10.9 points above High, at 1.4× the cost

    • Higher score for $0.105 or less: Pareto 26.10 (no Overall rank) Reasoning controls unavailable · Baseline: 89.7 for $0.0296 (provider-reported)
    • Cheapest scoring at least as high: Particle-1 Max · Intensive: 71.7 for $0.0256 (provider-reported) (one of 14 such settings)
  2. HighBalanced

    58.9 · rank 28 on the Balanced leaderboard

    Cost per program
    $0.0767 · provider-reported
    Working programs
    7 of 8
    API time
    5.1 min (observed mean, descriptive)

    16.3 points above Low, at 6.0× the cost

    • Higher score for $0.0767 or less: Pareto 26.10 (no Overall rank) Reasoning controls unavailable · Baseline: 89.7 for $0.0296 (provider-reported)
    • Cheapest scoring at least as high: GLM-5.3 Flash High · Balanced: 60.8 for $0.00579 (provider-reported) (one of 19 such settings)
  3. LowBaseline

    42.6 · rank 38 on the Baseline leaderboard

    Cost per program
    $0.0128 · provider-reported
    Working programs
    7 of 8
    API time
    37 s (observed mean, descriptive)
    • Higher score for $0.0128 or less: GLM-5.3 Flash High · Balanced: 60.8 for $0.00579 (provider-reported)
    • Cheapest scoring at least as high: GPT-6 Luna None · Baseline: 45.3 for $0.00318 (list-price estimate) (one of 12 such settings)

Score and cost of every ranked setting

The chart needs JavaScript. The setting cards hold this model's results, and Charts compares every model.

Each setting is placed by its published score and its generation cost per player program, the mean over the game cells including repairs and failed attempts. Higher is better; further left costs less (logarithmic axis, with recorded $0 in its own lane). Filled marks are compared; hollow marks are not (the reason is in the table). The line marks the best value across ranked reasoning settings: no ranked setting with complete cost evidence scores at least as high for the same or less. It includes models without an Overall rank, so it can differ from the line on Charts. Costs mix provider-reported charges and list-price estimates; differences in score points are not tested for significance.
Show the numbers

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Available settings and grouping

Available settings

LowHighMax

Checked on 2026-11-03 · Provider documentation

How settings are grouped

  • Baseline: Low — tested and included
  • Balanced: High — tested and included
  • Intensive: Max — tested and included

Scores by game

  • Go1 of 3 failed36.1
  • Chess65.3
  • Shogi67.4
  • Xiangqi2 of 3 failed18.3
  • Hex74.6
  • International Draughts66.4
  • Game of the Amazons70.1
  • Tumbleweed58.6

Each game counts every generation attempt, a failed one as 0 (“1 of 2 failed” marks games with failed attempts). Scores are relative within each game, across the included settings; they do not compare game difficulty.

What this result shows

Strongest included setting: Max (69.8).

Across included settings, the highest game score is Hex (74.6); the lowest is Xiangqi (18.3). Each game counts every generation attempt, a failed one as 0. These are relative scores within each game, not direct comparisons of difficulty.

Match evidence measures these retained programs. It does not establish how a fresh generation will perform. Independent-generation variation is not estimated in this release.

Test protocol and evidence limits
Model identifier
z-ai/glm-5.3-flashx-legal
Provider route (catalog)
openrouter
Prompt identity / profile
Not retained in this result set / Not retained in this result set
Prompt version
Not retained in this result set
Generation policy
Generation-quality admission policy (see methodology)
Requested output-token limits
131072 (33 of 33 indexed attempts)

Generation evidence

  • Low: 7 contributing player programs across 7 games
  • High: 7 contributing player programs across 7 games
  • Max: 7 contributing player programs across 7 games

Counts describe contributing programs, not independent replications: repairs and resends are not new independent samples. Independent-generation lineage is not retained.

GameReasoning groupProgramsWorking-program strengthRaw ratingCombined record (W / D / L)
GoIntensive1 working of 1 attempt66.81649.2357 / 31 / 176
GoBalanced1 working of 1 attempt41.61399.2138 / 184 / 242
ChessIntensive1 working of 1 attempt82.11782.8390 / 81 / 61
ChessBalanced1 working of 1 attempt59.61547.4156 / 304 / 72
ChessBaseline1 working of 1 attempt54.11502.485 / 387 / 60
ShogiIntensive1 working of 1 attempt83.71852.3446 / 5 / 97
ShogiBalanced1 working of 1 attempt81.31803.5432 / 3 / 113
ShogiBaseline1 working of 1 attempt37.21315.7107 / 158 / 283
XiangqiBaseline1 working of 1 attempt54.91509.0206 / 165 / 173
HexIntensive1 working of 1 attempt93.32433.0540 / 0 / 42
HexBalanced1 working of 1 attempt74.01798.0420 / 0 / 162
HexBaseline1 working of 1 attempt56.41505.2317 / 0 / 265
International DraughtsIntensive1 working of 1 attempt85.92108.1469 / 6 / 79
International DraughtsBalanced1 working of 1 attempt50.11435.5252 / 16 / 286
International DraughtsBaseline1 working of 1 attempt63.21659.1334 / 6 / 214
Game of the AmazonsIntensive1 working of 1 attempt76.91835.0439 / 0 / 139
Game of the AmazonsBalanced1 working of 1 attempt74.91798.8427 / 0 / 151
Game of the AmazonsBaseline1 working of 1 attempt58.51544.6324 / 0 / 254
TumbleweedIntensive1 working of 1 attempt69.91791.2396 / 0 / 186
TumbleweedBalanced1 working of 1 attempt89.22263.0515 / 0 / 67
TumbleweedBaseline1 working of 1 attempt16.7888.590 / 0 / 492

Each row covers all the model's programs in one game and setting. Strength and raw rating are attempt-weighted means; under them, each program's score and the lowest and highest rating describe the programs (not a confidence interval). The combined record adds up their matches: evidence volume, not strength.

Failures and budgets

3 model-code generation failures; 0 provider/infrastructure failures excluded from the generation denominator. Runtime player faults are separate: 0 recorded one-sided faults across contributing program rows. A crash, an illegal move, or a timeout repeated by a later quiet replay, pinned on one program, also counts as that program's loss in its match record; other faults are left out of rating evidence.

Repair/resend outcomes and available costs are included. Exact retry ceilings and execution budgets are not retained in this result set; see the methodology for the public policy. Do not infer a measured setting from a current provider catalog.

Player program results

Max: 75% / 13% / 12% · n 8High: 75% / 13% / 12% · n 8Low: 38% / 50% / 12% · n 8 All three benchmark settings testedMany programs needed repair

Generation cost, all settings combined

$0.06average estimated cost per game and reasoning setting

Median
$0.07
Range
$0.0066–$0.24
Provider-reported total
$1.55
Cost data
24 combinations · 24 runs
Price source
Provider-reported
Price list
boardgame-list-prices-2026-10-09
Average output
43k tokens
Output range
3.2k–103k tokens
Runs with output-token data
24
How cost is measured

Comparison cost gives equal weight to each model, game, and reasoning-setting combination. Recorded generation attempts include repairs and resends when cost evidence is available; runtime compute and service operation are excluded. Cost and output-token counts use separate telemetry denominators. A list-price estimate is not actual expenditure; mixed evidence is not a uniform standard-price comparison.

Test protocol

  • Combines this model's tested reasoning settings
  • Player-program generation; retained protocol details are under “Test protocol and evidence limits” above

GameBench 2 evaluates model-generated game-playing programs after compilation and execution on an evolving set of public benchmark games. Compiled programs play head-to-head, and the public methodology explains how those results become current standings.

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Public release gb2-20261111-7b598bb13de4 · Generated 2026-11-11