readable AI benchmarks (simplified)

readable AI benchmarks

Z AI

GLM-5.2 (Max)

reasoning · open weights · Jun 16, 2026

GLM-5.2 (Max) has a Quality Score of 52.0, ranking 96th among 571 scored models. Per 1M tokens, pricing is $1.40 input, $4.40 output, and $0.260 cached input. It accepts text input, outputs text, and has a 1M token context window. Its Reliability Score is 52.2, ranking 104th among 573 scored models, above average (total average: 36.5). Its Value Score is 36.9, high compared with the total Value average of 31.4.

Quality Score52.0coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score36.9
Factual reliability52.2
Cache Discount81%

Model specification

Reasoning
reasoning
Input modalities
text
Output modalities
text
Context window
1M tokens
Weights
open weights

Token prices USD per 1M tokens

Input
$1.40
Output
$4.40
Cached Input
$0.260
Cache write
not available
Cost per task
$1.47

Capability

Intelligence
33.7
Coding
not available
Agentic
not available
Omniscience
4.4
Correct
24.3%
Blended price
$0.902

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 44.2%

Correct 24.3%Incorrect 19.9%Partial / not attempted 55.8%

Artificial Analysis benchmarks

GDPval-AA v2
44%
τ³-Banking
35%
SciCode
51%
Humanity’s Last Exam
41%
GPQA Diamond
89%
CritPt
21%
AA-Omniscience
52%
AA-LCR
78%

DeepSWE operational cross-check

Pass@1
43.8%
Avg steps/scored attempt
129.13
Mean cost/scored attempt (USD)
$3.92
Mean output tokens/scored attempt
78,175.307
Mean duration/scored attempt (s)
2629 s

Mean cost/scored attempt is the official feed's mean_cost_usd: mean benchmark cost in USD per scored attempt under the source's cost basis. It is not Artificial Analysis cost per task and not token price (USD per 1M tokens). Mean output tokens/scored attempt is mean_output_tokens, also averaged over every scored attempt including scored failures. Mean duration/scored attempt is mean_duration_seconds; it is informational only, and wall-clock varies with provider and host load. These three fields do not affect Quality Score, Value Score, or Reliability. Epoch General ECI's benchmark basket includes DeepSWE v1.1, so Epoch General ECI and this DeepSWE cross-check are not independent evidence.

official DeepSWE v1.1 source

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