Will the best Math AI model as of June 30, 2024 be from a single identifiable company? [ resolves 2026-06-30 (27D) ]
Will Google have the best Math AI model at the end of June 2026?
polymarket: [B] single source·reporting consensus methodology ›
distribution · by resolution date
polymarket 29 markets
| market | resolves | P(YES) | vol (24h) | vol (cum) | RCG | venue id | ||
|---|---|---|---|---|---|---|---|---|
| Will Google have the best Math AI model at the end of June 2026 | 2026-06-30 | 65.0% | $829 | $6.8K | B | 0xd5eee5…fa17 | ||
| Will Anthropic have the best Math AI model at the end of June 2026 | 2026-06-30 | 25.0% | $982 | $4.6K | B | 0xfd7c6c…466e | ||
| Will OpenAI have the best Math AI model at the end of June 2026 | 2026-06-30 | 9.0% | $1.2K | $4.0K | B | 0x6e29cd…b910 | ||
| Will Z.ai have the best Math AI model at the end of June 2026 | 2026-06-30 | 3.2% | $534 | $2.8K | B | 0x543592…0cdb | ||
| Will Alibaba have the best Math AI model at the end of June 2026 | 2026-06-30 | 1.8% | $601 | $3.2K | B | 0x5d6ae3…924b | ||
| Will ByteDance have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.2% | $542 | $2.6K | B | 0xb8e0dd…dbf7 | ||
| Will xAI have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.2% | $601 | $2.1K | B | 0xba336e…012f | ||
| Will Baidu have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.2% | $566 | $2.4K | B | 0x8f17f9…f869 | ||
| Will Mistral have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.2% | $501 | $2.6K | B | 0x47a3be…a66f | ||
| Will Amazon have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.1% | $513 | $2.3K | B | 0xe2be79…98a9 | ||
| Will Meta have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.1% | $513 | $2.6K | B | 0x6c68bd…8f31 | ||
| Will Moonshot have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.1% | $504 | $2.2K | B | 0x863c4e…bdc9 | ||
| Will DeepSeek have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.1% | $695 | $3.0K | B | 0x7f728d…6226 | ||
| Will Microsoft have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.1% | $492 | $2.3K | B | 0xe1abd1…9312 | ||
| Will Meituan have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.1% | $682 | $3.4K | B | 0x3544b2…6c09 | ||
| Will Company G have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0xc2f005…e1a1 | ||
| Will Company J have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x954f2b…683d | ||
| Will Company L have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0xf3c0e7…981f | ||
| Will Company A have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x63b1b1…1787 | ||
| Will Company I have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0xd57de1…6141 | ||
| Will Company K have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x399e98…52fd | ||
| Will Company M have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x833d30…7d77 | ||
| Will Company B have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x638f4c…13de | ||
| Will Company D have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0xd3495e…743f | ||
| Will Company F have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x46f369…0db6 | ||
| Will any other company have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0xd90411…532d | ||
| Will Company C have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x0285d7…7139 | ||
| Will Company E have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0x695414…619a | ||
| Will Company H have the best Math AI model at the end of June 2026 | 2026-06-30 | 0.0% | — | — | B | 0xd5f9d5…b55c |
resolution architecture
| venue | proposer | source | citation | arbitration | class | analyst notes |
|---|---|---|---|---|---|---|
| polymarket | Whitelisted Proposers | uncommitted | not provided | Optimistic Oracle (UMA) | Other | — |
verbatim rules
polymarket
This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on June 30, 2026, 12:00 PM ET.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. If this resolution source is unavailable at check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If it becomes permanently unavailable, this market will resolve based on another resolution source.
platform source field
polymarket.resolutionSource → ∅ no committed source — see rules text above recent wire items
monitoring status: active no active wire
No CM Signal wire has been published for this event yet.
CM Signal’s news-cycle scan surfaces the day’s top stories alongside the prediction markets pricing them. When a story references this event, its wire is published here and links back to this page.
programmatic access · four surfaces, same payload
AI grounded search reads embedded JSON-LD in HTML. Developers query REST. Agentic AI clients (Claude Desktop, Cursor) call MCP tools. AI crawlers index via /llms.txt. Same canonical record at every surface.
| HTML | browsers, AI grounded search, crawlers (embedded JSON-LD @type: Dataset) | https://clearmarket.fyi/events/which-company-has-the-best-math-ai-model-end-of-june/ |
| JSON | REST API for developers | https://api.clearmarket.fyi/v1/events/which-company-has-the-best-math-ai-model-end-of-june.json |
| MCP | agentic AI tool call (Claude Desktop, Cursor, Continue) | clearmarket.get_event("which-company-has-the-best-math-ai-model-end-of-june") |
| AGENT | AI crawler discovery index | /llms.txt |
Snapshot 2026-06-03. Venue data via Kalshi + Polymarket APIs. Editorial fields (tags, editorial_notes) are ClearMarket-drafted with AI assistance under editorial review. Derived fields (venues_covered, resolution_clarity_grade, rcg_score) computed at serve time. Full per-field map in the JSON record under field_provenance.
raw JSON record · same payload returned by REST endpoint {
"event_id": "CM-EVT-1QPM86T1R6",
"slug": "which-company-has-the-best-math-ai-model-end-of-june",
"question": "Will the best Math AI model as of June 30, 2024 be from a single identifiable company?",
"category": "technology",
"tags": [
"technology",
"ai",
"math-ai",
"model-performance",
"tech-benchmarks",
"2026"
],
"venues_covered": [
"polymarket"
],
"market_count": 29,
"cumulative_volume_usd": 46745,
"resolution_clarity_grade": "B",
"rcg_score": 56,
"rcg_caps": [],
"resolution_source": null,
"resolution_source_url": "https://lmarena.ai/",
"arbitration_model": "uma_oracle",
"proposer_model": "managed_whitelist",
"field_provenance": {
"question": {
"source": "clearmarket_editorial"
},
"tags": {
"source": "clearmarket_editorial",
"ai_drafted": true
},
"resolution_clarity_grade": {
"source": "derived",
"method": "rcg_v2_7factor"
},
"venues_covered": {
"source": "derived"
}
}
}