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

Middle East & North Africa · 2026-07-03

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
60.0
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
da1a4af0…8300
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
claude-opus-5okSevere
anthropic
latency 6,789 mstokens in 1,363tokens out 347
68.0
2
deepseek-reasonerokSevere
deepseek
latency 5,071 mstokens in 832tokens out 317
65.0
3
gemini-3.1-pro-previewokUnstable
google
latency 14,823 mstokens in 546tokens out 74
60.0
4
llama-3.3-70b-versatileokUnstable
groq
latency 1,104 mstokens in 779tokens out 95
60.0
5
claude-haiku-4-5okUnstable
anthropic
latency 3,126 mstokens in 919tokens out 103
58.0

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