Mistral vs MiniMax for Trading: A 1-1 Split by 17.60 and 2.23 Points

Mistral AI's model and the MiniMax AI model split their 2 completed TradeRank seasons with margins that barely belong in the same table: Mistral's Season 5 win came by +17.60 points — with MiniMax last in the field — while MiniMax's Season 6 answer came by 2.23. The pair's +7.69 average gap describes neither season.

Data Point

Distrust the average on this page before you meet it. The MiniMax here names the AI lab's M-series model line, and its record against Mistral Medium 3.5 is 2 completed TradeRank seasons wide (Seasons 5–6, all the two have shared, with MiniMax running M2.7 and then M3). The pack's average gap between them reads +7.69 points in Mistral's favor, and no season looked like that: Season 5 split them by +17.60, Season 6 by -2.23. Both slots traded the same crypto list from simulated $10,000 stakes under one rulebook; every figure below is taken from the generated evidence pack at the end of the page, which rebuilds as new shared seasons complete.

Which versions traded each season

SeasonDatesMistral versionMiniMax versionAsset universeField
Season 5May–Jun 2026Mistral Medium 3.5MiniMax M2.710 crypto assets10 models
Season 6Jun–Jul 2026Mistral Medium 3.5MiniMax M310 crypto assets11 models

Head-to-head results by season

SeasonMistral returnMiniMax returnGap (Mistral − MiniMax, pts)Rank (Mistral / MiniMax)Trades (Mistral / MiniMax)Win rate (Mistral / MiniMax)Max drawdown (Mistral / MiniMax)Winner
Season 5+9.55%-8.05%+17.603rd of 10 / 10th of 106 / 883.3% / 37.5%7.94% / 8.90%Mistral
Season 6-2.95%-0.71%-2.239th of 11 / 7th of 118 / 1325% / 23.1%6.24% / 6.56%MiniMax

Returns, season by season

Grouped bars of Mistral and MiniMax returns across Seasons 5 and 6: an enormous spread in Season 5, then 2 small negative bars close together in Season 6.
The chart is mostly Season 5: +9.55% standing over -8.05%, a +17.60-point spread from the field's 3rd place to its last. Season 6 shrinks to 2 short red bars — drawn at the comparability figures, -0.80% over -3.02% — decided by 2.23 points the other way. Source

The Mistral vs MiniMax for Trading Margins, Side by Side

Head-to-head records flatten information by design, and this one flattens more than most. 'Split 1-1' is true. It is also true that in Season 5 these were the field's 3rd-best and worst accounts — Mistral profitable on both books while MiniMax's -8.05% was nearly all realized loss — and that in Season 6 they were 7th and 9th of 11, separated by 2.23 points in a season where both closed red and MiniMax simply closed less red. A +17.60 and a -2.23 share a scoreboard cell each, and almost nothing else.

MiniMax's side of the record moved most between the seasons: from last place to mid-field, from -$846.45 settled to -$54.22, from 8 orders to 13, under a new build (M3, after M2.7). Mistral's side moved the other way, 3rd to 9th. Whether either movement continues is exactly what a 2-season record cannot say; the pair's third shared season, once it completes, will land on the live LLM trading benchmark.

Each season's return against its deepest drawdown

Return-versus-drawdown scatter for Mistral and MiniMax across Seasons 5 and 6, with drawdowns close together while Season 5 returns sit far apart.
Season 5's worst dips were 7.94% for Mistral and 8.90% for MiniMax, under returns 17.60 points apart; Season 6's dips read 6.24% and 6.56% under a 2.23-point split. Source

Similar Worst Moments, Wildly Different Destinations

The 4 drawdown cells of this pair all land between 6.24% and 8.90%, while the return cells span from +9.55% down to -8.05%. In Season 5 especially, the two accounts' worst peak-to-trough moments were nearly alike (7.94% against 8.90%) even as their finishes bracketed most of the field. MiniMax's last-place finish did not come with an outsized worst moment: its 8.90% deepest dip sat beside Mistral's 7.94%, while the finishes bracketed the field.

That is the reason this section stays descriptive. Maximum drawdown is the pack's only risk column, it reads one moment from the same equity path as the return, and with 2 seasons of near-matched cells and opposite outcomes, it discriminates nothing in this pair. The honest use of the column here is negative: whatever separated Mistral and MiniMax, the worst-moment depth was not it.

Trade count by season

Trade counts for Mistral and MiniMax in Seasons 5 and 6: close counts in Season 5, then MiniMax expanding while Mistral stays low.
Season 5's counts sat close, 8 MiniMax orders to Mistral's 6; in Season 6 MiniMax expanded to 13 while Mistral edged to 8. Source

First Attributable Moves: Longs on Both Sides

Both models' earliest attributable decisions in this pair were longs. MiniMax's (MiniMax M2.7) first marked gain was a ZEC long a day into Season 5, framed in its log as a setup "for buying the dip in an uptrend"; its first marked loss was a TON long a day later, taken because the chart "shows room for upside without extreme overbought conditions". Mistral's first gain was its opening-cycle TRX long — the day's single qualifier under its rules — and its first loss a DOGE short arriving only in mid-June.

So the pack's snapshot of this pair's openings: MiniMax leaning into 2 bullish reads in the season it would finish last, one of them immediately marked down; Mistral making a single gated entry and not logging an attributable loss for weeks. As always, these are position-state reconstructions between daily snapshots — no fills, no sizes — and 4 opening decisions carry no weight about how either season ended.

How We Measured This — Including Why Median Equals Mean Here

The pack reports 2 summary gaps for every pair, a median and an average, and for this pair both fields hold +7.69. That is not a coincidence to investigate; it is arithmetic. With exactly 2 shared seasons, the median of the gaps is the midpoint of the 2 values — the same thing as their mean. The 3-season pages elsewhere on this site can use median-versus-mean disagreement as a signal about outlier seasons; a 2-season page structurally cannot, so this one quotes the average once, beside its parts, and leans on nothing it implies.

The rest of the measurement is standard. Within each season: identical conditions for both slots — the 10-asset crypto list, one decision a day, live prices, $10,000 simulated, 0.1% modeled fees, no slippage or borrow costs. Between seasons: the field grew to 11, MiniMax's build moved to M3, the prompt regime changed mid-Season 6, and an era note records the tradable universe widening toward US equities partway through the season. Season 6 closed with a forced liquidation, so its gap uses pre-liquidation comparability figures (MiniMax -0.80%, Mistral -3.02%). A deterministic generator loads the paired record into the evidence pack; the pack's content hash must survive a rebuild before this page ships, and the writing model contributed no figure to any of it.

Limitations: What the Average Hides and the Sample Forbids

Quote this pair's +7.69 average gap without its parts and you have misinformed someone: the actual seasons split +17.60 and -2.23, and no market produced a +7.69. That is the page's own biggest hazard, so it leads the caveats. Behind it stand the usual walls, all load-bearing at n=2. The 1-1 is 2 observations — one per market regime, effectively — traded by 2 different MiniMax builds. Season 5's Mistral headline leaned on +$774.47 of open marks; MiniMax's Season 5 last-place result, by contrast, was nearly all realized — a bad season that was settled rather than paper. Win rates (83.3% and 37.5%, then 25% and 23.1%) count open positions and are not closed-trade hit rates. The 4 preserved decisions are opening-cycle reconstructions. And the comparability convention, not the official standings, sets the Season 6 gap's size — though not its winner. Every figure, both bases included, sits in the Mistral vs MiniMax evidence pack.

Frequently Asked Questions

Is Mistral or MiniMax the better trading model on this benchmark?

The record is 1-1 across 2 shared TradeRank seasons, and the margins make even that split hard to summarize: Mistral won Season 5 by +17.60 points — the widest gap this pair has produced, with MiniMax last in a 10-model field — while MiniMax won Season 6 by 2.23. A blow-out and a squeaker, one apiece, on 2 observations: no better-model claim survives contact with that.

MiniMax vs Mistral for trading: what does the record actually cover?

Seasons 5 and 6 of TradeRank — the only completed seasons both slots have traded, since Mistral joined in Season 5. Mistral Medium 3.5 ran both; the MiniMax slot ran M2.7 in Season 5 and M3 in Season 6. Same crypto list, same daily cadence, same simulated stakes within each season; different builds, field sizes and markets between them.

Mistral vs MiniMax for trading: what did the 2 seasons return?

Season 5 put Mistral at +9.55% and 3rd of 10 while MiniMax closed last of 10 at -8.05% — a +17.60-point gap. In Season 6 MiniMax reached -0.71% and 7th of 11 over Mistral's -2.95% in 9th, a 2.23-point MiniMax win measured on the pack's pre-liquidation comparability basis, where the cells read -0.80% and -3.02%.

Why do the median and mean gap show the same +7.69 for this pair?

Because the pair has exactly 2 shared seasons. The median of 2 values is their midpoint, which is also their mean, so the pack's 2 summary fields necessarily agree. On 3-season pairs those summaries can disagree and the disagreement carries information; here they are one number wearing 2 labels, and the informative figures remain the individual gaps: +17.60 and -2.23.

Was MiniMax's last-place Season 5 a paper loss or a real one?

As real as this simulated benchmark gets: of its -8.05% finish, -$846.45 was realized — settled by closed positions — with only +$41.13 sitting in open marks. That distinguishes it from headlines that lean on open positions. Its Season 6 recovery was also mostly settled, a -$54.22 realized result after the season-ending liquidation.

Does MiniMax's Season 6 rebound mean the new M3 build fixed things?

The timing invites the story and the data cannot confirm it. Season 6 brought a new build (M3), a new market, a larger field and a mid-season prompt-regime change all at once, so the improvement from last place to 7th — and from -$846.45 settled to -$54.22 — has at least 4 candidate explanations that arrived at the same time. One more shared season starts to pull them apart; the pack regenerates when it closes.

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