readable AI benchmarks (simplified)

readable AI benchmarks

OpenAI

GPT-5.6 Terra (Max)

reasoning · closed weights · Jul 9, 2026

GPT-5.6 Terra (Max) has a Quality Score of 57.4, ranking 70th among 572 scored models. Per 1M tokens, pricing is $2.00 input, $12.00 output, $0.200 cached input, and $2.50 cache write. It accepts text, image, and pdf input, outputs text, and has a 1M token context window. Its Reliability Score is 50.0, ranking 129th among 574 scored models, above average (total average: 36.5). Its Value Score is 37.6, high compared with the total Value average of 31.5.

Quality Score57.4coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score37.6
Factual reliability50.0
Cache Discount90%

Model specification

Reasoning
reasoning
Input modalities
text, image, pdf
Output modalities
text
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
$1.40

Capability

Intelligence
42.1
Coding
not available
Agentic
not available
Omniscience
0.1
Correct
46.8%
Blended price
$1.74

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 93.5%

Correct 46.8%Incorrect 46.8%Partial / not attempted 6.5%

Artificial Analysis benchmarks

GDPval-AA v2
48%
τ³-Banking
40%
SciCode
55%
Humanity’s Last Exam
43%
GPQA Diamond
93%
CritPt
30%
AA-Omniscience
50%
AA-LCR
83%

DeepSWE operational cross-check

Pass@1
69.6%
Avg steps/scored attempt
75.93
Mean cost/scored attempt (USD)
$4.95
Mean output tokens/scored attempt
71,938.625
Mean duration/scored attempt (s)
1017 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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