TOTAL VOLUME:
$66b
24H VOL:
$398,877,831
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647,445,881
OPEN INTEREST:
$1,477,629,845
622,934
Markets across
14,083
events
MATCHED EVENTS:
1,257
PLATFORM COVERAGE:
4
Polymarket:
49%
VS.
Kalshi:
51%
Which company has the best Coding AI model end of July? Odds & Prediction Markets
Will Anthropic have the best Coding AI model at the end of July 2026?
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Description
This event group determines which company has released the best coding AI model by end of July 2026, based on objective performance benchmarks. Kalshi uses the DeepSWE leaderboard (checked June 30, 2026), while Polymarket uses the Chatbot Arena Coding leaderboard (checked July 31, 2026), creating a temporal and methodological divergence in how 'best' is measured.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Two distinct leaderboards (DeepSWE vs Chatbot Arena Coding) with different check dates (June 30 vs July 31, 2026) create independent resolution paths that may produce different winners.Hero Tip:
Monitor both leaderboards starting mid-June. Kalshi resolves first (June 30) using DeepSWE; Polymarket resolves later (July 31) using Arena Coding. A model could rank first on one benchmark but not the other. Verify which models appear on both leaderboards to identify potential divergence risk.Critical Divergence Points:
Kalshi:
Uses DeepSWE leaderboard on Datacurve, checked June 30, 2026 at 10:00 AM ET. Binary resolution: if specified model is highest ranked, market resolves Yes. Limited to 7 models (Claude, ChatGPT, Gemini, Grok, DeepSeek, Kimi, MiMo). Quote: 'If [Model] is the Highest Ranked DeepSWE score model on Datacurve DeepSWE on Jun 30, 2026 at 10:00AM ET, then the market resolves to Yes.'Polymarket:
Uses Chatbot Arena Coding leaderboard at lmarena.ai, checked July 31, 2026 at 12:00 PM ET. Covers 20+ companies with explicit tiebreaker hierarchy: rank first, then arena score (including granular unrounded values), then alphabetical order. Includes fallback: if leaderboard unavailable, resolves on first check after it comes back online; if permanently unavailable, uses alternative source. Quote: 'Results from the Rank column under Text Arena | Coding Leaderboard tab will be used to resolve this market.'
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 "Coding" is checked on July 31, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.
Kalshi
The market resolves based on which model holds the highest DeepSWE score ranking on Datacurve DeepSWE on June 30, 2026 at 10:00 AM ET. If multiple models are tied for the highest rank, the publisher's official tie-breaking methodology applies; if no such methodology exists, all tied models share the highest rank. When multiple candidates tie for a given rank, each tied contract resolves to $1 divided by the number of tied candidates, rounded down.
Frequently asked questions
Prediction market odds reflect aggregated trader bets rather than individual analyst opinions, making them a crowdsourced forecast. Analysts often publish point estimates or rankings based on technical evaluation and roadmaps, while markets price in uncertainty and assign probabilities across all possible outcomes. Markets can move faster than analyst reports when new benchmarks or model releases occur, and they incorporate real financial incentives for accuracy. For which company has the best coding ai model end of july, comparing market odds to published analyst rankings helps identify where consensus diverges and which signals traders are prioritizing most heavily.
Kalshi and Polymarket can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity pools, and regulatory environments, which can cause temporary price gaps on the same event. Kalshi and Polymarket may weight recent coding AI benchmarks, company announcements, or technical metrics differently based on their user base's expertise and risk appetite. Arbitrage opportunities between platforms can narrow spreads, but differences in market depth, fee structures, and settlement confidence may sustain divergence. Monitoring both platforms for which company has the best coding ai model end of july reveals where conviction is strongest and where traders see hidden value or risk.
This market resolves on Jul 31, 2026. Resolution depends on which company's coding AI model is determined to have the best performance or capability at that time, based on the specific resolution criteria established by each platform. Traders should review each platform's exact settlement rules and oracle methodology to understand how "best" is defined and measured.
Major coding AI model releases, benchmark results (such as HumanEval or LeetCode performance), and public comparisons from independent researchers will likely shift odds significantly. Company announcements about new features, speed improvements, or enterprise adoption milestones can influence trader perception. Competitive announcements from rival firms, funding news, or talent acquisitions may also trigger repricing. Technical blog posts, conference presentations, and real-world developer feedback on which company has the best coding ai model end of july will provide concrete signals. Market volatility typically increases as July approaches and final model versions are locked in.
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