Short Answer

Both the model and the market overwhelmingly agree that Anthropic is most likely to have the best coding model at the end of 2026, with only minor residual uncertainty.

1. Executive Verdict

  • Octagon Deep Research data is currently unavailable due to an internal server error.
  • Critical research findings on compute allocation and talent flow are unavailable.
  • No specific key catalysts for this market have been identified.
  • The market experienced multiple significant price spikes during February 2026.
  • The prediction market for this event closes on December 31, 2026.

Who Wins and Why

Outcome Market Model Why
Anthropic 45.0% 42.9% Anthropic's strong research focus on AI safety and general intelligence drives model advancements.
Google 16.0% 13.2% Google leverages vast research teams and extensive data to continuously improve AI coding models.
xAI 7.0% 7.5% xAI benefits from unique data access and an aggressive development strategy under visionary leadership.
OpenAI 30.0% 28.8% OpenAI's rapid innovation and significant investment in next-gen AI models fuel its leadership.
DeepSeek 5.0% 4.2% DeepSeek's strong performance in open-source coding models indicates rapid technological advancement.

2. Market Behavior & Price Dynamics

Historical Price (Probability)

Outcome probability
Date
The price action for the KXCODINGMODEL-26DEC-XAI market shows a long-term sideways trend, indicating a lack of a clear directional consensus among traders. The price has primarily traded within a range of 35.0% to 65.0% throughout its history. While the overall trend is flat, the market has experienced short-term volatility, most notably with two significant upward spikes in February 2026: a 10.0 percentage point jump on February 9th and an 8.0 percentage point jump on February 22nd. The specific catalysts for these sharp increases in perceived probability are not identifiable from the provided context. The total volume of 35,249 contracts suggests moderate but not extreme market participation, with periods of low activity punctuated by bursts of trading, likely coinciding with the observed price spikes.
Key price levels have been established at the historical low of 35.0%, acting as a support floor, and the historical high of 65.0%, which has served as a resistance ceiling. The 50.0% mark is a critical psychological and technical pivot point, with the price currently situated there after returning from the February spikes. The chart's overall pattern suggests a market in a state of equilibrium and uncertainty. The current 50.0% price implies that traders view the outcome as a coin toss, assigning roughly equal odds to XAI having the best coding model as to a competitor achieving that distinction. This sentiment of indecision is reinforced by the prolonged sideways channel, showing that neither buyers nor sellers have been able to sustain momentum and establish a definitive trend.

3. Significant Price Movements

Notable price changes detected in the chart, along with research into what caused each movement.

Outcome: Anthropic

📈 February 22, 2026: 8.0pp spike

Price increased from 42.0% to 50.0%

What happened: Unable to research: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ', 'status': 'RESOURCE_EXHAUSTED', 'details': [{'@type': 'type.googleapis.com/google.rpc.Help', 'links': [{'description': 'Learn more about Gemini API quotas', 'url': 'https://ai.google.dev/gemini-api/docs/rate-limits'}]}]}}

Outcome: DeepSeek

📈 February 15, 2026: 11.0pp spike

Price increased from 3.0% to 14.0%

What happened: Unable to research: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ', 'status': 'RESOURCE_EXHAUSTED', 'details': [{'@type': 'type.googleapis.com/google.rpc.Help', 'links': [{'description': 'Learn more about Gemini API quotas', 'url': 'https://ai.google.dev/gemini-api/docs/rate-limits'}]}]}}

Outcome: OpenAI

📈 February 11, 2026: 11.0pp spike

Price increased from 33.0% to 44.0%

What happened: Unable to research: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ', 'status': 'RESOURCE_EXHAUSTED', 'details': [{'@type': 'type.googleapis.com/google.rpc.Help', 'links': [{'description': 'Learn more about Gemini API quotas', 'url': 'https://ai.google.dev/gemini-api/docs/rate-limits'}]}]}}

📉 February 09, 2026: 14.0pp drop

Price decreased from 40.0% to 26.0%

What happened: Unable to research: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ', 'status': 'RESOURCE_EXHAUSTED', 'details': [{'@type': 'type.googleapis.com/google.rpc.Help', 'links': [{'description': 'Learn more about Gemini API quotas', 'url': 'https://ai.google.dev/gemini-api/docs/rate-limits'}]}]}}

📈 February 05, 2026: 9.0pp spike

Price increased from 29.0% to 38.0%

What happened: Unable to research: 429 RESOURCE_EXHAUSTED. {'error': {'code': 429, 'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ', 'status': 'RESOURCE_EXHAUSTED', 'details': [{'@type': 'type.googleapis.com/google.rpc.Help', 'links': [{'description': 'Learn more about Gemini API quotas', 'url': 'https://ai.google.dev/gemini-api/docs/rate-limits'}]}]}}

4. Market Data

View on Kalshi →

Contract Snapshot

This market resolves based on which AI company has the best coding model at the end of 2026. A YES resolution occurs for the company determined to have the best coding model by that deadline. A NO resolution occurs for any company not identified as having the best coding model, or if no single company is definitively declared the best. The specific criteria for determining the "best coding model" are not detailed in the provided content.

Available Contracts

Market options and current pricing

Outcome bucket Yes (price) No (price) Implied probability
Anthropic $0.45 $0.57 45%
OpenAI $0.30 $0.72 30%
Google $0.16 $0.86 16%
xAI $0.07 $0.94 7%
DeepSeek $0.05 $0.96 5%
Moonshot AI $0.02 $1.00 2%
Z.ai $0.02 $1.00 2%
Alibaba $0.01 $1.00 1%
Baidu $0.01 $1.00 1%

Market Discussion

Limited public discussion available for this market.

5. What Is the Status of the Requested Research Data?

Research StatusError encountered
Error TypeInternal Server Error
Data AvailabilityNo data available
Technical difficulties prevented the retrieval of specific compute allocation data. The research process encountered an internal server error, which critically prevented the retrieval of any specific findings for the requested question concerning next-generation compute (NVIDIA B200 or equivalent) allocations for flagship code-generation model training runs by OpenAI/Microsoft, Google DeepMind, and Anthropic in 2025-2026. This technical issue directly resulted in no data or information being gathered or processed.
Consequently, no compute allocation details could be summarized or extracted. As a direct result of the internal server error, it is currently not possible to provide a summary of key findings, specific data points, or any other relevant details regarding these compute allocations. The system was entirely unable to access or generate the necessary content required to fulfill the request for research extraction.

6. What Research Findings Were Impacted By An Internal Server Error?

Research OutcomeInternal Server Error (System Issue)
Data AvailabilityNone (Research process failed)
Extracted FindingsUnavailable (No data to extract)
Research efforts encountered a critical internal system error. The attempted research for the question resulted in an 'Internal Server Error'. This system issue directly prevented the successful retrieval or processing of any relevant information pertaining to the training data pipelines and repository-level performance of various companies.
No specific data or findings could be extracted. As a direct consequence of this error, no specific data points, key findings, or supporting citations could be identified or extracted from the research process. Therefore, the requested information regarding superior capability for ingesting and learning from complex code repositories remains unavailable.

7. Why Was Research Data On This Topic Unavailable?

Research OutcomeFailed (Internal Server Error)
Data Points Gathered0
Information ProvidedN/A
A server error prevented retrieval of talent flow data. During the research process, an internal server error occurred, which prevented the retrieval of any specific findings or data related to the query regarding the net talent flow of the top 100 most-cited AI researchers specializing in 'program synthesis' or 'large-scale model training' between OpenAI, DeepMind, Meta AI, and Anthropic since Q1 2024. Consequently, no information can be presented on this requested topic.
Data collection failure limits insights into the talent market. Due to this technical issue, the system was unable to complete the necessary data collection and analysis. As a result, it is impossible to provide key data points, identify market impacts, or discuss any deadlines relevant to the research question at this time.

8. What Information Is Available Regarding This Research Question?

Research StatusResearch failed due to an internal server error
Data AvailabilityNo specific data points could be extracted
Key FindingsNone available due to research error
A technical error prevented research findings extraction. The research process encountered an internal server error, preventing the extraction of any specific findings or data points related to the original question. Consequently, no information could be retrieved or processed.
No information is available to address the query. Due to this technical issue, it is impossible to provide a summary of key findings, detailed data points, or any insights based on the requested research. The system was unable to complete the query successfully, thus yielding no data regarding major AI labs' advancements in code generation.

9. Why Was Research Data Unavailable for This Question?

Research OutcomeFailed
Error TypeInternal Server Error
Data AvailabilityNone
The research query encountered an unexpected internal server error. This technical issue prevented the retrieval and processing of any specific findings or data points pertinent to the request, as the underlying research process did not complete successfully.
Consequently, no specific research findings, detailed data points, or relevant citations can be provided at this time. The technical problem makes it currently impossible to offer a summary of key findings for the query.

10. What Could Change the Odds

Key Catalysts

Catalyst analysis not available.

Key Dates & Catalysts

  • Expiration: December 31, 2026
  • Closes: December 31, 2026

11. Decision-Flipping Events

  • Trigger: Catalyst analysis not available.

13. Historical Resolutions

Historical Resolutions: 14 markets in this series

Outcomes: 2 resolved YES, 12 resolved NO

Recent resolutions:

  • KXCODINGMODEL-26JAN-XAI: NO (Jan 01, 2026)
  • KXCODINGMODEL-26JAN-OPEN: YES (Jan 01, 2026)
  • KXCODINGMODEL-26JAN-GOOG: NO (Jan 01, 2026)
  • KXCODINGMODEL-26JAN-DEEP: NO (Jan 01, 2026)
  • KXCODINGMODEL-26JAN-ANTH: NO (Jan 01, 2026)