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Model Arena · depth shallow

North America · 2026-06-28

Season 1 · 2026-06-25 → 2026-07-12 · 90 region-days (18 dates × 5 regions) · scored 2026-08-05 → 2026-08-06 · closed pilot, not a live feed

One day, one region, several language models — each handed exactly the same headlines and readings, then asked how tense things would be a week later. Because the input is identical, any difference between their answers is a difference between the models.

This page shows what they said. Whether any of it was right is a separate question, answered on the Leaderboard — and the short version there is that none of them detectably beat guessing. Scores run from 0 (calm) to 100 (catastrophe); the Leaderboard puts those scores and what actually happened on one standard scale before comparing them, which is why its error numbers sit around 1 rather than on the 0–100 scale.

How 'identical evidence' is guaranteed

Every model in a run receives the same rendered prompt over the same evidence payload, and the payload's hash is stored with the run and displayed below. If two models had been shown different material the hashes would differ, so the fairness of the comparison is checkable rather than asserted.

Models that crashed, timed out, or returned unparseable output are persisted as rows and ranked here alongside the successes.

Consensus
25.0
the middle of 5 answers, with the highest and lowest set aside
Completion
100.0%
5 scored / 5 attempted — failures stay in the denominator
Evidence
ab2fd91a…a684
10 headline(s), shared by every model

Ranking

prompt version p1depth shallow

Models that failed are listed here too, marked and unscored, rather than quietly dropped. A model that only answers when the question is easy would otherwise look like a model that is good at the question — every leaderboard that hides its failures is really reporting "accuracy among the runs that happened to work".

1
deepseek-reasonerokElevated
deepseek
latency 6,201 mstokens in 858tokens out 451
38.0
2
claude-haiku-4-5okStable
anthropic
latency 2,997 mstokens in 948tokens out 95
28.0
3
gemini-3.1-pro-previewokElevated
google
latency 9,830 mstokens in 579tokens out 77
25.0
4
claude-opus-5okStable
anthropic
latency 5,244 mstokens in 1,316tokens out 184
19.0
5
llama-3.3-70b-versatileokStable
groq
latency 893 mstokens in 805tokens out 91
10.0

Every model in this run returned a verdict, so no failure row is shown.