readable AI benchmarks (simplified)

readable AI benchmarks

OpenAI

GPT-5.6 Terra (Medium)

reasoning · closed weights · release date not listed

GPT-5.6 Terra (Medium) has a Quality Score of 46.9, ranking 132nd among 571 scored models. Per 1M tokens, pricing is $2.00 input, $12.00 output, $0.200 cached input, and $2.50 cache write. It has a 1M token context window. Its Reliability Score is 47.4, ranking 156th among 573 scored models, above average (total average: 36.5). Its Value Score is 30.7, around average compared with the total Value average of 31.4.

Quality Score46.9coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score30.7
Factual reliability47.4
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
$2.00
Output
$12.00
Cached Input
$0.200
Cache write
$2.50
Cost per task
$0.183

Capability

Intelligence
30.1
Coding
not available
Agentic
not available
Omniscience
-5.1
Correct
44.6%
Blended price
$1.74

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 94.3%

Correct 44.6%Incorrect 49.7%Partial / not attempted 5.7%

Artificial Analysis benchmarks

GDPval-AA v2
38%
τ³-Banking
26%
SciCode
50%
Humanity’s Last Exam
33%
GPQA Diamond
87%
CritPt
17%
AA-Omniscience
47%
AA-LCR
74%

DeepSWE operational cross-check

Pass@1
35.1%
Avg steps/scored attempt
25.15
Mean cost/scored attempt (USD)
$0.583
Mean output tokens/scored attempt
11,746.56
Mean duration/scored attempt (s)
230 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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