readable AI benchmarks (simplified)

readable AI benchmarks

OpenAI

GPT-6 Astra (Medium)

reasoning · closed weights · release date not listed

GPT-6 Astra (Medium) has a Quality Score of 73.7, ranking 17th among 398 scored models. Per 1M tokens, pricing is $10.00 input, $50.00 output, $1.00 cached input, and $12.50 cache write. It has a 1M token context window. Its Reliability Score is 71.1, ranking 9th among 399 scored models, above average (total average: 38.0). Its Value Score is 40.7, high compared with the total Value average of 33.2.

Quality Score73.7coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score40.7
Factual reliability71.1
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
$10.00
Output
$50.00
Cached Input
$1.00
Cache write
$12.50
Cost per task
$1.54

Capability

Intelligence
49.6
Coding
not available
Agentic
not available
Omniscience
42.2
Correct
60.6%
Blended price
$7.70

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 78.9%

Correct 60.6%Incorrect 18.4%Partial / not attempted 21.1%

Artificial Analysis benchmarks

GDPval-AA v2
49%
τ³-Banking
35%
SciCode
54%
Humanity’s Last Exam
53%
GPQA Diamond
94%
CritPt
29%
AA-Omniscience
71%
AA-LCR
80%

DeepSWE operational cross-check

Pass@1
72.8%
Avg steps/scored attempt
26.03
Mean cost/scored attempt (USD)
$3.08
Mean output tokens/scored attempt
20,361.81
Mean duration/scored attempt (s)
884 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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