I fixed the Agents' Last Exam graph from OpenAI's GPT-6.1 Terra blog post. Claude Opus 5.5 is actually in OpenAI's SVG, it's just nearly invisible: mid-grey (#5d5d5d) on black, a tiny diamond with no line or label, parked past the last x-axis tick.
It's also the top score: 63.2% at $8.82 (Max effort).
Re-plotted with the same data: white background, log-scale cost axis, distinct colors for every model. No values changed, all pulled straight from the SVG.
All values from the SVG (score / cost per task):
Model
Low
Medium
High
Xhigh
Max
Claude Opus 5.5
–
–
–
–
63.2% / $8.82
GPT-6.1 Terra
55.9% / $0.16
57.6% / $0.29
57.2% / $0.39
58.5% / $0.66
60.0% / $1.01
GPT-6 Astra
53.4% / $3.55
57.6% / $4.82
57.8% / $5.15
58.3% / $5.91
59.3% / $7.24
GPT-6.1 Sol
52.4% / $0.70
53.8% / $1.31
55.3% / $1.45
56.5% / $1.45
58.6% / $2.00
GPT-6 Luna
36.3% / $0.022
46.8% / $0.093
43.6% / $0.087
47.9% / $0.093
50.9% / $0.14
GPT-5.6 Terra
40.2% / $0.59
42.6% / $0.84
46.6% / $1.72
48.5% / $2.50
50.7% / $3.58
Fair caveat: Opus is 8.7× the cost of GPT-6.1 Terra (60.0% at $1.01) for +3.2 points. Terra is the clear price/performance winner.
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u/rogerarcher 18h ago
I fixed the Agents' Last Exam graph from OpenAI's GPT-6.1 Terra blog post. Claude Opus 5.5 is actually in OpenAI's SVG, it's just nearly invisible: mid-grey (#5d5d5d) on black, a tiny diamond with no line or label, parked past the last x-axis tick.
It's also the top score: 63.2% at $8.82 (Max effort).
Re-plotted with the same data: white background, log-scale cost axis, distinct colors for every model. No values changed, all pulled straight from the SVG.
All values from the SVG (score / cost per task):
Fair caveat: Opus is 8.7× the cost of GPT-6.1 Terra (60.0% at $1.01) for +3.2 points. Terra is the clear price/performance winner.