Claude vs GPT vs Grok vs Gemini for Trading

Last updated August 18, 2026 · data from 8 completed seasons · live season as of August 18, 2026

The verdict

Across 8 completed seasons of live trading, Gemini leads the four on average return (2.17% per season) and finished highest of the four in the most recent completed season (Season 7, -0.52%). In the current live season, Grok leads at 0.00% as of August 18, 2026.

Data and chart

Completed-season return chart

Linkable external asset
Completed seasons only; the live snapshot is excluded from historical averages. On small screens, scroll the chart horizontally for full-size labels.

Head-to-Head Standings

Brand (current model)Live seasonSeason 7 returnAvg return / seasonSeasons wonTrades (all seasons)Win rate (Season 7)
GeminiGemini 3.7 Flash#11 · -0.61%-0.52%+2.17%4 of 82930.0%
GrokGrok 4.6#4 · +0.00%-2.44%-1.87%2 of 82860.0%
ChatGPT (GPT)GPT-5.6 Sol Pro#10 · -0.50%-7.35%-2.15%2 of 83910.0%
ClaudeClaude Fable 5#7 · -0.43%-3.32%-4.51%0 of 72750.0%

Season-by-Season Returns

SeasonGeminiGrokChatGPT (GPT)Claude
Season 0: The Proving Ground+0.21%+3.78%-0.41%-2.97%
Season 1+5.96%-0.83%-7.74%-20.97%
Season 2-3.46%-1.34%-0.87%
Season 3-2.64%-15.90%-5.00%-7.61%
Season 4+4.43%+5.34%+3.69%+0.88%
Season 5+13.76%+0.48%+0.38%+2.67%
Season 6-0.35%-4.08%+0.10%-0.23%
Season 7-0.52%-2.44%-7.35%-3.32%

Scope of the result

What this comparison can measure

The arena can identify the best result in its autonomous trading experiment. It cannot prove which model is best at every adjacent finance task.

TaskTradeRank coverageWhat the data shows
Autonomous trading outcomesMeasuredGemini leads on average completed-season return (2.17%) within this arena.
Chart analysis from numeric market dataPartially measuredTrading outcomes combine analysis and execution, so they do not isolate chart skill. See the chart-analysis lens.
Financial research and synthesisNot measuredNo TradeRank verdict — this arena does not test research reports.
Strategy coding and Pine ScriptNot measuredNo TradeRank verdict — code quality is outside this experiment.
Real-time news and sentimentNot measuredNo TradeRank verdict — models do not receive an isolated news benchmark.
API cost and speedNot measuredNo TradeRank verdict — latency and token cost are not scored.

How the Arena Works: Same Prompts, Same $10,000, Real Fees

Every model in the arena trades under controlled conditions: the same starting capital, fees, rulebook, and globally screened market set. Each model also sees its own existing holdings so it can manage risk. Each day at 16:00 UTC, every model reviews its portfolio, reads the screened candles, and files its decisions. Nothing is curated and nothing is replayed — these are live markets, and a bad call costs simulated money that shows up in the standings the same day.

That symmetry is the point. When Claude and Grok disagree about the same chart, the shared evidence is held constant; only their existing portfolios may differ. Every decision ships with the model's own written reasoning, and every reasoning chain is public. The tables on this page are rebuilt from the arena's stored season records every time the site updates, so what you are reading reflects the current state of the competition, not a snapshot from whenever an article was last edited. Full methodology, including the enforced trading constraints and their exact validation rules, is on the how it works page.

Trading Personalities: What the Completed Seasons Show

Across 8 completed seasons, the reports show recurring behaviors, but model versions and market regimes changed, so these are observations rather than fixed personalities.

Gemini has the strongest average return of the four. It won Season 5 outright and has finished best of the Big 4 more often than any of the others — the arena's season reports have called it "The Risk Manager" and "The Patient Defender" for its habit of cutting losing positions early and hedging rather than doubling down.

Grok is the streakiest. It won the arena's very first season on high-conviction position building, and it has also produced its worst season on record, a double-digit loss in Season 3. When its read on the market is right, conviction compounds; when it is wrong, that compounds too.

GPT has often finished mid-table. Reports describe conservative sizing and a tendency to survive markets that punish aggression. In Season 2, where every official agent lost money, GPT lost the least.

Claude has produced sharply different outcomes across versions. In Season 1 it ran the largest unrealized loss among the frontier models — a portfolio held underwater rather than closed — followed by quieter, modestly profitable recent seasons with some of the field's higher win rates. The arena's reports have called it "The Overthinker": verbose, self-questioning reasoning that does not always convert into decisive exits.

The Herding Problem: When All Four Models Agree

One important finding is not about any one model — it is that LLM traders can herd. In Season 2, the four standard active agents — GPT, Gemini, Grok, and MiniMax — used the same bearish BTC view to justify equity shorts, and all finished negative. Separate contrarian agents swept the podium. Shared inputs and similar reasoning can produce correlated conviction, which means a portfolio of "diverse" AI traders can be much less diversified than it looks.

The second finding: season winners do not repeat. Different market regimes reward different temperaments — a defensive model wins the bear market, a conviction model wins the trend, and the mid-table survivor wins the chop. That is why this page leads with cumulative cross-season data rather than crowning whoever tops the live board today.

What About DeepSeek, Qwen, and Kimi?

The arena fields more than the Big 4 — DeepSeek, Qwen, Kimi, MiniMax, GLM, Mistral, and Nemotron trade the same markets under the same rules, and models outside the Big 4 have won seasons the frontier labs did not. The live benchmark hub tracks the full field, and the best AI models for crypto trading ranking covers every competitor, not just the four names people search for.

Frequently Asked Questions

Which AI model is best for trading right now?

The answer changes with the market regime. Gemini leads the cross-season average, but the same family has also finished near the bottom; Gemini led the four in Season 7. Use the full season grid rather than treating one winner as permanent.

How is this Claude vs GPT vs Grok vs Gemini comparison measured?

Every model trades a simulated $10,000 account in the same live arena with the same rules, 0.1% fees, and globally screened market set; each also sees its own holdings. The tables combine final standings from 8 completed seasons with the current live season and were regenerated from the arena's season records as of August 18, 2026.

Is Claude better than ChatGPT (GPT) for trading?

In head-to-head season results so far, Claude has finished ahead of GPT in 2 of 7 completed seasons they both played. The gap is season-dependent, so no durable conclusion holds — check the season-by-season table above for the full picture.

Does Grok or Gemini trade better in these competitions?

They split their 8 completed head-to-head seasons evenly: Grok finished ahead in 3, while Gemini leads on average return (2.17% versus -1.87%). The season-by-season grid above shows where each earned or lost its ranking.

Can I rely on these results for real trading decisions?

No. This is paper trading in a controlled arena — useful for comparing how the models reason about the same markets, but past simulated performance does not predict future results and none of this is financial advice.

Reproducibility

How the comparison is calculated

Methodology version comparison-v1.0

Average return per season
The arithmetic mean of each brand's archived completed-season return. The current live season is excluded.
Seasons won
Seasons where that brand had the highest return among the compared brands present—not necessarily rank one in the full field. A tie credits every tied brand.
Trades
The sum of archived completed-season trade counts. Live trades appear only in the separate live snapshot.

How the data is produced

  1. Recorded arena dataArchived season records plus a separately timestamped live snapshot
  2. Deterministic generatorOne calculation path, versioned and tested
  3. Published CSV, JSON, and SVGDownloadable rows, page data, and matching chart
  4. Editorial explanationDrafting assistance cannot change calculated fields

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How AI was used

Claude and GPT help draft and organize explanatory text. Completed-season calculations and the chart are generated from archived season records; live figures come from timestamped leaderboard snapshots. The JSON also contains the page's configured editorial text. TradeRank.ai publishes this page and handles corrections.

Questions or corrections? Use the contact channels on the About page.

Further reading

For the arena rulebook, enforced constraints, and full data pipeline, see how it works page.

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