●ChaosWatch
New here? Start here →
Model Arena · depth shallow

Middle East & North Africa · 2026-07-12

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
65.0
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
ec06afb6…36ed
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
gemini-3.1-pro-previewokSevere
google
latency 10,308 mstokens in 569tokens out 79
75.0
2
claude-opus-5okSevere
anthropic
latency 5,945 mstokens in 1,322tokens out 252
68.0
3
deepseek-reasonerokUnstable
deepseek
latency 6,301 mstokens in 825tokens out 317
65.0
4
llama-3.3-70b-versatileokUnstable
groq
latency 981 mstokens in 775tokens out 87
60.0
5
claude-haiku-4-5okElevated
anthropic
latency 2,977 mstokens in 913tokens out 119
42.0

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