Which Company Will Have the Best AI by End of 2026
Claude is the overwhelming favorite in Kalshi's market for the best AI at the end of 2026, but current independent model rankings tell a more competitive story. OpenAI's GPT-5.6 Sol currently leads the overall LLM Stats leaderboard, while Anthropic, Meta, Google, xAI, Alibaba, Moonshot AI, and Baidu still have more than four months to change the race.
The AI race is moving so quickly that a model can lead one month and be challenged by a new release only weeks later. Kalshi traders are nevertheless making a very clear prediction about which company will finish 2026 on top. Claude currently holds a 68.7% chance in the market, far ahead of ChatGPT at 13.1% and Grok at 13%.
The market has already attracted more than $9 million in trading volume. Gemini sits at 7.1%, followed by Muse Spark at 2.2%, Qwen at 1.3%, Kimi below 1%, and Ernie at 0.3%.
That does not mean Anthropic is currently winning every AI benchmark. The independent LLM Stats data supplied for this article currently places OpenAI's GPT-5.6 Sol first overall, with Claude Opus 5 second. Claude also has several other models near the top, which helps explain why traders appear confident in Anthropic's ability to finish the year with the No. 1 model.
This is also different from simply asking which chatbot people like the most. Prediction Markets allow traders to price a specific future outcome, and this contract has a precise leaderboard-based settlement method.
Best AI at the End of 2026 Market Snapshot
Figures reflect the Kalshi market snapshot supplied on August 19, 2026. Prediction-market probabilities, Yes prices, No prices, and available quantities can change at any time as new AI models are released and leaderboard rankings move.
Claude Has a Huge Lead Over ChatGPT and Grok
Claude
68.7%Anthropic is the clear market favorite. Yes contracts are currently displayed around 68.6¢.
ChatGPT
13.1%OpenAI remains a distant second in probability despite GPT-5.6 Sol leading the current LLM Stats ranking.
Grok
13.0%xAI sits almost even with ChatGPT in the Kalshi market, making it the other major challenger to Claude.
Gemini
7.1%Google trails the three largest market contenders, but Gemini 4 gives traders a major upcoming release to watch.
| AI | Company | Market Chance | Displayed Yes Price |
|---|---|---|---|
| Claude | Anthropic | 68.7% | 68.6¢ |
| ChatGPT | OpenAI | 13.1% | 13.2¢ |
| Grok | xAI | 13.0% | 13.3¢ |
| Gemini | 7.1% | 7.2¢ | |
| Muse Spark | Meta | 2.2% | 2.2¢ |
| Qwen | Alibaba | 1.3% | 1.3¢ |
| Kimi | Moonshot AI | Below 1% | 1.0¢ |
| Ernie | Baidu | 0.3% | 0.3¢ |
The displayed market chance and current Yes offer are separate live-market measurements and may differ slightly. Individual order books and bid-ask spreads also mean the displayed contract prices do not necessarily add to exactly 100% at one moment.
How Kalshi Determines the Best AI
This market does not resolve based on sales, app downloads, website traffic, revenue, or the personal opinion of Kalshi.
The underlying measurement is the Rank (UB) ranking of large language models on the LM Arena Leaderboard. The market is scheduled to resolve using the leaderboard on December 31, 2026.
When checking the settlement source, the Remove Style Control setting is important. The contract is based on the leaderboard configuration specified by the market rules.
If two models are tied under Rank (UB), the model with the higher Arena Score wins. If the models remain tied, the model with more votes wins. If they are still tied after that, the model released earlier wins.
The contract therefore rewards whichever organization has the model that finishes No. 1 under the specified LM Arena ranking methodology at settlement. The labels Claude, ChatGPT, Grok, and Gemini are effectively shorthand for the organizations competing through their models.
Predict Which AI Finishes 2026 at No. 1
Kalshi currently lists individual contracts for Claude, ChatGPT, Grok, Gemini, Muse Spark, Qwen, Kimi, and Ernie in the best-AI market.
View the AI Market on KalshiOpenAI Currently Leads the LLM Stats Overall Ranking
The current independent LLM Stats leaderboard complicates the idea that Claude already has the AI race locked up.
GPT-5.6 Sol currently ranks first overall with an LLM Stats score of 57.4. Claude Opus 5 follows at 56.3, while Claude Fable 5 ranks third at 56.1 and Claude Mythos Preview sits fourth at 56.0.
That gives Anthropic three models in the top four, but OpenAI still owns the top individual position in the current snapshot.
| Rank | Model | Company | LLM Stats Score |
|---|---|---|---|
| 1 | GPT-5.6 Sol | OpenAI | 57.4 |
| 2 | Claude Opus 5 | Anthropic | 56.3 |
| 3 | Claude Fable 5 | Anthropic | 56.1 |
| 4 | Claude Mythos Preview | Anthropic | 56.0 |
| 5 | Kimi K3 | Moonshot AI | 54.9 |
| 6 | GLM-5.3 | Zhipu AI | 54.7 |
| 7 | DeepSeek-V4-Pro-0813 | DeepSeek | 54.2 |
| 8 | Qwen3.8 Max | Alibaba Cloud / Qwen Team | 53.3 |
| 9 | GPT-5.6 Terra | OpenAI | 52.9 |
| 10 | Claude Opus 4.8 | Anthropic | 51.9 |
| 11 | Muse Spark 1.1 | Meta | 51.8 |
| 12 | Gemini 3.7 Flash | 51.2 | |
| 13 | Claude Sonnet 5 | Anthropic | 49.6 |
| 14 | GPT-5.5 | OpenAI | 49.3 |
| 15 | Grok 4.5 | xAI | 47.5 |
LLM Stats is not the settlement source for the Kalshi contract. It is included as a separate benchmark comparison showing how leading models currently perform across multiple categories.
GPT-5.6 Sol Also Leads the Current Reasoning and Coding Indexes
Looking beyond the overall ranking gives OpenAI another argument against the market's 68.7% Claude probability.
GPT-5.6 Sol currently leads the LLM Stats reasoning index at 56.9. Claude Mythos Preview is almost tied at 56.8, followed by Claude Opus 5 at 55.4.
In the coding index, GPT-5.6 Sol also ranks first at 50.6. Claude Fable 5 sits second at 48.8, Claude Mythos Preview is third at 46.7, and GPT-5.6 Terra ranks fourth at 46.3.
Reasoning
GPT-5.6 Sol leads the current reasoning index by only 0.1 point over Claude Mythos Preview, showing just how close the frontier has become.
Coding
GPT-5.6 Sol leads the current coding index, while several Claude models remain close enough that one new release could change the order quickly.
Code Arena
Claude Opus 5 carries the highest Code Arena figure among the models shown in the supplied overall leaderboard, giving Anthropic another important coding advantage depending on the metric used.
Open Weights
Kimi, DeepSeek, Qwen, and Meta are adding pressure from another direction by competing aggressively on price, openness, speed, and local deployment.
This is why one leaderboard cannot answer every question about which AI is best. Different benchmarks measure reasoning, coding, agents, speed, price, context length, and other capabilities differently.
Why Kalshi Traders Are So Confident in Claude
Anthropic's biggest advantage may not be that one Claude model dominates every current benchmark. It is the depth of the company's lineup near the top.
Claude Opus 5 ranks second overall in the supplied LLM Stats data. Claude Fable 5 ranks third, Claude Mythos Preview ranks fourth, Claude Opus 4.8 ranks tenth, and Claude Sonnet 5 ranks thirteenth.
That creates multiple opportunities for Anthropic to finish December with the top model. If one Claude release is surpassed, another Anthropic model could potentially replace it.
Claude's coding reputation also matters. Developers increasingly use AI for large codebases, debugging, refactoring, repository-wide changes, and agentic development tasks. Anthropic has built a large following in that part of the market.
Readers who want to understand how these prices are created and traded can review our Kalshi Prediction Markets page.
Why ChatGPT May Be Underpriced at 13.1%
OpenAI's market probability looks very different from its current benchmark position.
ChatGPT is sitting at only 13.1% on Kalshi, yet GPT-5.6 Sol currently ranks first overall on LLM Stats and also leads the supplied reasoning and coding indexes.
That does not mean ChatGPT should automatically be favored. The Kalshi contract resolves from LM Arena rather than LLM Stats, and the market is predicting what the leaderboard will look like at the end of December, not what another ranking looks like today.
Still, the gap is notable. Traders are effectively assigning Anthropic more than five times the probability of OpenAI even though an OpenAI model currently leads one of the largest independent composite AI rankings in the supplied data.
That difference is one of the reasons the ChatGPT Yes contract is interesting at its current price.
Meta Is Back in the AI Race With Muse Spark
Meta's 2.2% market probability looks small, but the company has become considerably more competitive during 2026.
Muse Spark 1.1 currently ranks eleventh overall in the supplied LLM Stats data with a score of 51.8. Its reasoning score of 52.4 is especially competitive, and the model also combines a one-million-token context window with relatively high output speed in the current comparison.
Meta has also resumed pushing open-weight AI. Muse Glimmer was released as a smaller model that developers can download and run on their own hardware. Meta has also indicated that more powerful Muse weights are part of its broader open-model strategy.
This matters because Meta has infrastructure, capital, distribution through its consumer products, and one of the largest potential user bases in technology. A 2.2% prediction-market probability does not leave much room for the possibility that Meta releases a dramatically improved model before December 31.
Gemini 4 Could Completely Change Google's Position
Google currently holds a 7.1% probability in the Kalshi market. Gemini 3.7 Flash ranks twelfth in the supplied LLM Stats leaderboard with an overall score of 51.2.
Its most notable advantage in the current data is speed. Gemini 3.7 Flash is shown at 443 characters per second, considerably faster than many of the leading frontier models in the same comparison.
The bigger question is Gemini 4.
Google DeepMind has shifted attention toward its next generation after delays and mixed results from earlier 2026 Gemini releases. If Gemini 4 arrives before the settlement date and performs substantially better than the current generation, Google's 7.1% market probability could look very different.
Four months is a long time in AI. A single frontier-model release can move a company from the middle of the leaderboard to the top almost overnight.
Grok, Kimi, Qwen, and Ernie Cannot Be Ignored
Grok currently sits at 13%, almost identical to ChatGPT's 13.1% probability. xAI's current Grok 4.5 model ranks fifteenth in the supplied LLM Stats overall table, which means traders are clearly pricing future releases rather than simply copying today's benchmark position.
Kimi is an especially interesting long-shot. Kimi K3 currently ranks fifth overall on LLM Stats with a 54.9 score, yet Moonshot AI is priced below 1% in the Kalshi market.
Qwen is another disconnect. Qwen3.8 Max ranks eighth overall with a score of 53.3, but Alibaba receives only a 1.3% Kalshi probability.
Baidu's Ernie sits furthest back at 0.3%. That is effectively the market saying an Ernie model finishing No. 1 is possible, but highly unlikely based on what traders know today.
The Chinese labs deserve attention because their models are increasingly competitive on performance, price, and open-weight availability. The difficult part is predicting whether one will finish first on the specific LM Arena ranking used by the Kalshi contract.
My Take After Using AI Every Day Since 2022
This section reflects Robert Beadle's personal experience and opinion. It is separate from the prediction-market prices, benchmark data, and source reporting above.
I started using AI every day in early December 2022, and I have been using it pretty much nonstop ever since.
Like most heavy AI users, I don't stay inside one model forever. When something new launches and everybody is talking about it, I try it. I have accounts with other AI companies, I compare the answers, and I see what each one does better.
But I always end up coming back to ChatGPT.
Claude Opus 5 is hot right now, especially for coding. I understand why developers like it. Anthropic has become extremely good at repository-level coding tasks, long technical instructions, and keeping complicated development projects organized.
At the same time, I don't think the difference between Claude Opus 5 and GPT-5.6 Sol is nearly large enough to justify treating this race like Anthropic has already won it. GPT-5.6 Sol currently leads the overall, reasoning, and coding indexes in the LLM Stats data we reviewed for this article.
For me, ChatGPT is also a better all-around daily tool.
I use AI for research, writing, coding, WordPress, SEO, data analysis, business planning, images, troubleshooting, and dozens of smaller things that come up during the day. I don't want one AI that is excellent at a narrow group of tasks and another one for everything else. I want one place where I can move from one type of job to another without constantly changing systems.
That is where ChatGPT continues to win for me.
The context it maintains across ongoing projects is valuable. The tool integrations are valuable. The ability to move between research, code, files, images, structured data, and ordinary conversation without starting over is valuable. OpenAI also tends to give me enough model choice that I can use a faster model for simple tasks and a more capable reasoning model when the problem is complicated.
I even built Bonus Predictions with ChatGPT. That includes website code, article structures, page layouts, research workflows, and the design you are looking at right now. That means I am not evaluating these systems from occasional chatbot conversations. I use them to produce real work every day.
That does not mean OpenAI is untouchable.
Meta is one of the companies I would not sleep on. Muse Spark is already competitive enough to be taken seriously, and Meta has money, infrastructure, distribution, and a willingness to push open-weight AI again. At only 2.2% on Kalshi, Meta is one of the more interesting long-shot prices to me.
I would not dismiss Grok either. xAI has been releasing models aggressively, and the Kalshi market clearly believes the company has a realistic chance of producing a No. 1 model by December. Its 13% probability is essentially tied with ChatGPT despite Grok 4.5 sitting much lower in today's LLM Stats ranking.
Google is another company that could turn this market upside down with one release. Gemini 4 does not need to dominate every benchmark. It only needs to become good enough to finish No. 1 on the leaderboard that actually decides the contract.
If I had to choose one today, I am still taking ChatGPT.
Part of that is personal preference, but it is not blind loyalty. OpenAI currently has the No. 1 model on the LLM Stats leaderboard shown here, GPT-5.6 Sol leads the current reasoning and coding indexes, and ChatGPT is trading at only 13.1% on Kalshi.
Claude may absolutely win. Anthropic has a deep lineup and deserves to be the favorite. I just do not believe 68.7% for Claude and 13.1% for ChatGPT accurately reflects how close the actual frontier AI race feels today.
What a Winning ChatGPT Prediction Could Pay at 13.2¢
ChatGPT Yes contracts are currently displayed around 13.2¢. If OpenAI has the winning model when the contract resolves, each winning contract pays $1.
The examples below use whole contracts purchased at a constant 13.2¢ price. They exclude fees and assume enough contracts are available at the same price.
| Investment | Whole Contracts | Approx. Cost | Payout if ChatGPT Wins | Approx. Profit Before Fees |
|---|---|---|---|---|
| $25 | 189 | $24.95 | $189 | $164.05 |
| $50 | 378 | $49.90 | $378 | $328.10 |
| $100 | 757 | $99.92 | $757 | $657.08 |
| $250 | 1,893 | $249.88 | $1,893 | $1,643.12 |
| $500 | 3,787 | $499.88 | $3,787 | $3,287.12 |
| $1,000 | 7,575 | $999.90 | $7,575 | $6,575.10 |
These are simplified illustrations at 13.2¢ per contract. Larger orders may require purchasing contracts at several different prices, and actual transaction fees can change the final cost and return.
The 1,000-Contract ChatGPT Example Shown on Kalshi
The supplied Kalshi order-entry screenshot shows what a 1,000-contract ChatGPT position looked like at the time the market was captured.
1,000 ChatGPT Yes contracts: average displayed price of approximately 13.28¢, estimated total cost of $140.90, maximum payout of $1,000, and displayed potential profit of $859.10 if ChatGPT wins the contract.
This real order example differs from the simplified table because the order screen accounts for available pricing and estimated transaction costs at that moment.
What a Winning Claude Prediction Could Pay at 68.6¢
Claude is much more expensive because the market currently assigns Anthropic a much higher probability of winning.
| Investment | Whole Contracts | Approx. Cost | Payout if Claude Wins | Approx. Profit Before Fees |
|---|---|---|---|---|
| $25 | 36 | $24.70 | $36 | $11.30 |
| $50 | 72 | $49.39 | $72 | $22.61 |
| $100 | 145 | $99.47 | $145 | $45.53 |
| $250 | 364 | $249.70 | $364 | $114.30 |
| $500 | 728 | $499.41 | $728 | $228.59 |
| $1,000 | 1,457 | $999.50 | $1,457 | $457.50 |
These examples use the displayed 68.6¢ Yes price and whole contracts. Actual execution prices, order-book depth, and fees can change the final numbers.
The 1,000-Contract Claude Example Shown on Kalshi
The Claude order screen in the supplied market data shows an average price of approximately 68.7¢ for a 1,000-contract example.
1,000 Claude Yes contracts: estimated cost of $702.10, maximum payout of $1,000, and displayed potential profit of approximately $297.91 if Claude wins.
The difference between Claude and ChatGPT illustrates the core tradeoff in prediction markets. Claude is considered much more likely to win today, so each contract costs considerably more and produces a smaller potential profit if correct.
What Could Change the AI Market Before December 31?
New Frontier Models
One major release from OpenAI, Anthropic, Google, Meta, xAI, or another lab could immediately change the leaderboard and prediction-market prices.
Claude Mythos
Anthropic already has an unreleased Claude Mythos Preview near the top of the supplied LLM Stats data, giving traders another reason to expect a strong year-end lineup.
Gemini 4
Google's next generation may become one of the largest late-year wildcards if it arrives in time to accumulate enough leaderboard data before settlement.
OpenAI Releases
GPT-5.6 Sol already holds the top position in the supplied LLM Stats ranking. Another OpenAI release could strengthen or weaken the case for ChatGPT depending on performance.
Meta's Muse Family
Muse Spark has put Meta back into the frontier conversation, and additional Muse releases could make its current 2.2% Kalshi price look very different.
LM Arena Voter Preferences
The contract settles from LM Arena rather than a benchmark average. Models that users consistently prefer in blind head-to-head comparisons have the advantage that ultimately matters for this market.
The Best Benchmark Model Does Not Automatically Win This Contract
LLM Stats, coding benchmarks, reasoning tests, model pricing, and developer popularity can help us evaluate the AI race, but none of them directly determine the settlement result.
The winning organization must have the top-ranked model under Rank (UB) on the specified LM Arena leaderboard configuration at the contract's expiration time.
A model can be No. 1 on another benchmark and still lose this prediction-market contract.
Which AI Is Most Likely to Be Best at the End of 2026?
Kalshi traders currently give a very clear answer: Claude.
Anthropic holds a 68.7% market probability, while ChatGPT and Grok sit near 13%, Gemini is at 7.1%, and every other listed contender is below 3%.
The benchmark picture is considerably closer. GPT-5.6 Sol currently leads the supplied LLM Stats overall ranking, Claude has three models directly behind it, Kimi K3 ranks fifth, Qwen3.8 Max ranks eighth, Muse Spark 1.1 ranks eleventh, and Gemini 3.7 Flash ranks twelfth.
That difference is what makes the market interesting. Traders are not trying to identify the best model today. They are predicting which organization will have the No. 1 LM Arena model on December 31.
Claude deserves to be the favorite based on Anthropic's depth near the frontier. Whether it deserves nearly 70% of the market is a much more difficult question with more than four months of AI releases still ahead.
Follow the Best AI Prediction Market
The AI leaderboard can change quickly as new models are released. You can follow the market on Kalshi or review our Kalshi Promo Codes page for current Bonus Predictions promotion information.
View the Best AI MarketSources
Bonus Predictions may receive compensation when readers create an account through an affiliate or referral link. Compensation does not change the prediction-market data, benchmark information, source reporting, or editorial content presented in this article. Kalshi market prices and probabilities can change at any time. AI model rankings can also change as new models are released and additional leaderboard votes are recorded. Author-opinion sections represent the named author's personal viewpoint. This article provides general information and is not financial advice.
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