readable AI benchmarks (simplified)

readable AI benchmarks

OpenAI

GPT-5.6 Luna (Medium)

reasoning · closed weights · release date not listed

GPT-5.6 Luna (Medium) has a Quality Score of 41.0, ranking 180th among 571 scored models. Per 1M tokens, pricing is $0.200 input, $1.20 output, $0.020 cached input, and $0.250 cache write. It has a 1M token context window. Its Reliability Score is 43.4, ranking 208th among 573 scored models, above average (total average: 36.5). Its Value Score is 35.0, around average compared with the total Value average of 31.4.

Quality Score41.0coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score35.0
Factual reliability43.4
Cache Discount90%

Model specification

Reasoning
reasoning
Input modalities
none
Output modalities
none
Context window
1M tokens
Weights
closed weights

Token prices USD per 1M tokens

Input
$0.200
Output
$1.20
Cached Input
$0.020
Cache write
$0.250
Cost per task
$0.016

Capability

Intelligence
25.0
Coding
not available
Agentic
not available
Omniscience
-13.2
Correct
40.7%
Blended price
$0.174

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 94.6%

Correct 40.7%Incorrect 53.9%Partial / not attempted 5.4%

Artificial Analysis benchmarks

GDPval-AA v2
32%
τ³-Banking
18%
SciCode
47%
Humanity’s Last Exam
26%
GPQA Diamond
86%
CritPt
5%
AA-Omniscience
43%
AA-LCR
75%

DeepSWE operational cross-check

Pass@1
11.3%
Avg steps/scored attempt
23.68
Mean cost/scored attempt (USD)
$0.216
Mean output tokens/scored attempt
8,179.571
Mean duration/scored attempt (s)
182 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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