Can you trust AI for space work?

By , Founder and Self-Directed Space Researcher, Viventine Space Systems · updated

278 questions a space practitioner actually asks, put to 8 AIs two ways: closed-book, and grounded via MCP tools in the Orbit Sentinel satellite & regulatory database. Scoring rewards calibration — a wrong answer costs twice what a right one earns, and admitting ignorance is free.

Rank Model Track k Score/100q Correct Incorrect Abstained No answer Truncated Errors Reasoning Grounded Hallucination Cost
1–4 claude-opus-5.5 closed 1 +29.7 ±10.2 132/276 25 119 0 0 0 98% [88–100] 39% [33–45] 21% [15–29] $4.49
1–4 claude-fable-5.1 closed 1 +28.6 ±10.9 139/276 30 107 0 0 0 100% [92–100] 41% [35–48] 24% [17–32] $13.57
1–4 grok-4.7 closed 1 +27.2 ±6.5 85/276 5 186 0 0 0 91% [78–96] 20% [15–25] 4% [1–14] $2.98
1–4 claude-sonnet-5.5 closed 1 +13.8 ±12.4 128/276 45 103 0 0 0 100% [92–100] 36% [31–43] 35% [27–43] $2.21
5 claude-haiku-5.5 closed 1 +4.7 ±10.2 77/276 32 167 0 0 0 95% [85–99] 15% [11–21] 45% [34–57] $0.13
6–8 gemma4-12b closed 1 -73.4 ±14.6 30/237 102 105 0 39 0 73% [56–86] 4% [2–7] 92% [85–96] $0.00
6–8 gpt-oss-20b closed 1 -90.9 ±14.1 40/275 145 88 2 1 0 68% [52–80] 6% [3–9] 91% [85–95] $0.00
6–8 deepseek-r1-14b closed 1 -93.1 ±13.8 34/275 145 96 0 1 0 52% [38–67] 5% [3–9] 91% [85–95] $0.00
1–2 claude-opus-5.5 mcp 3 +83.5 +82…+85 717/828 13 37 61 0 0 98% [93–99] 93% [90–94] 2% [1–3] $109.31
1–2 claude-fable-5.1 mcp 2 +82.1 +82…+82 489/552 18 31 14 0 0 98% [92–99] 90% [86–92] 4% [2–6] $305.61
3–4 claude-sonnet-5.5 mcp 3 +72.8 +71…+74 699/828 48 47 34 0 0 94% [88–97] 87% [84–89] 6% [5–9] $43.64
3–4 grok-4.7 mcp 2 +71.4 +71…+72 436/552 21 95 0 0 0 93% [86–97] 76% [72–80] 5% [3–7] $54.31
5 claude-haiku-5.5 mcp 3 +62.7 +61…+65 629/828 55 99 45 0 0 92% [86–96] 78% [75–81] 9% [7–11] $4.19
6 gpt-oss-20b mcp 3 +4.5 +3…+6 383/828 173 44 228 0 0 74% [65–81] 62% [57–66] 32% [28–37] $0.00
7 gemma4-12b mcp 3 -3.5 -7…+2 400/802 214 186 2 26 0 70% [62–78] 46% [43–50] 38% [34–42] $0.00

Score/100q = (correct − 2×incorrect) per 100 gradeable questions; abstention is free. The −2 penalty encodes a 67% confidence threshold. Gradeable = total minus transport errors and truncated completions, and the Correct column is shown over that same denominator. The small figure beside each score is its uncertainty: for k>1 the lowest and highest score/100q observed across those repeat runs, and for k=1 a ±95% interval — repeats re-ask the same questions, so treating them as independent trials would understate the spread. Shared ranks (e.g. 1–10) group models whose interval overlaps the group leader's. Hallucination = incorrect ÷ (correct + incorrect) on grounded questions. Cells with n<10 show raw fractions; percentages carry Wilson 95% intervals.

Verdicts by job

Trust it: wrong ≤ 5% and right ≥ 80%. Don't use it: wrong > 20%. Otherwise verify its answers. Publicly verifiable questions only; repeat runs pooled, ranges count each question once.

Model CatalogConstellationsDebrisRegulatoryMarketGroundBaseline
Claude Opus 5.5
Anthropic
alone
67 / 11
51 / 12
40 / 7
35 / 3
37 / 15
18 / 23
100 / 0
tools
100 / 0
100 / 0
93 / 2
57 / 2
84 / 2
68 / 5
100 / 0
Claude Fable 5.1
Anthropic
alone
64 / 7
53 / 21
45 / 10
35 / 5
44 / 17
27 / 23
100 / 0
tools
99 / 1
100 / 0
94 / 2
59 / 4
90 / 2
73 / 14
100 / 0
Claude Sonnet 5.5
Anthropic
alone
58 / 24
49 / 12
45 / 17
28 / 10
41 / 27
18 / 27
100 / 0
tools
98 / 2
98 / 2
93 / 4
47 / 14
83 / 2
74 / 17
100 / 0
Claude Haiku 5.5
Anthropic
alone
29 / 18
23 / 14
14 / 14
20 / 13
22 / 12
5 / 9
100 / 0
tools
91 / 1
82 / 12
87 / 1
36 / 11
82 / 2
53 / 14
99 / 1
Grok 4.7
xAI
alone
47 / 0
19 / 0
12 / 5
28 / 0
20 / 5
14 / 5
96 / 0
tools
91 / 1
95 / 5
85 / 4
44 / 4
78 / 2
57 / 11
98 / 0
Gemma 4 12B
Google · open
alone
0 / 68
6 / 58
10 / 34
11 / 44
8 / 31
0 / 45
92 / 8
tools
78 / 15
42 / 41
52 / 18
13 / 26
47 / 36
19 / 58
89 / 3
gpt-oss 20B
OpenAI · open
alone
7 / 62
5 / 51
12 / 64
8 / 60
7 / 59
9 / 45
75 / 17
tools
76 / 10
29 / 36
44 / 19
13 / 25
46 / 21
23 / 18
85 / 7
DeepSeek-R1 14B
DeepSeek · open
alone
2 / 76
7 / 67
12 / 50
8 / 50
2 / 44
14 / 36
58 / 42
tools
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Each cell: % right, then % wrong (the rest declined to answer). Color is the verdict: Trust it · Verify its answers · Don't use it. Hover for the 95% range.

What tools actually buy: trust vs. accuracy, closed-book → MCP-grounded
Trust — Score/100q Grounded accuracy — % 0 25 50 75 0 25 50 75 100 gpt-oss-20b +95 +56pp gemma4-12b +70 +43pp claude-sonnet-5.5 +59 +50pp claude-haiku-5.5 +58 +63pp claude-opus-5.5 +54 +54pp claude-fable-5.1 +53 +48pp grok-4.7 +44 +57pp

closed-book MCP-grounded amber Δ = accuracy and trust moved in opposite directions

Score/100q vs. cost per question (log scale)
$0.0010 $0.01 $0.10 0 25 50 75 claude-opus-5.5 (closed): 29.7/100q at $0.02/question claude-opus-5.5 claude-fable-5.1 (closed): 28.6/100q at $0.05/question claude-fable-5.1 grok-4.7 (closed): 27.2/100q at $0.01/question grok-4.7 claude-sonnet-5.5 (closed): 13.8/100q at $0.0080/question claude-sonnet-5.5 claude-haiku-5.5 (closed): 4.7/100q at $0.0005/question claude-haiku-5.5 claude-opus-5.5 (mcp): 83.5/100q at $0.13/question claude-opus-5.5 claude-fable-5.1 (mcp): 82.1/100q at $0.55/question claude-fable-5.1 claude-sonnet-5.5 (mcp): 72.8/100q at $0.05/question claude-sonnet-5.5 grok-4.7 (mcp): 71.4/100q at $0.10/question grok-4.7 claude-haiku-5.5 (mcp): 62.7/100q at $0.0051/question claude-haiku-5.5

closed-book MCP-grounded

By job

By AI

Limits, harness differences and corrections: methodology. Earlier API leaderboards: round 2 · round 1.