Mistral vs DeepSeek for Trading: Field Neighbors That Split 1-1

In both completed TradeRank seasons they shared, Mistral AI's model and DeepSeek finished in adjacent field positions — 3rd and 2nd of 10 near the top in Season 5, then 9th and 10th of 11 near the bottom in Season 6. DeepSeek took the first by 2.30 points; Mistral took the second by 0.49 on the pack's pre-liquidation basis — the closest cell in this pair's record.

Data Point

Look down the rank column of this Mistral vs DeepSeek for trading page and a pattern appears that the returns alone would hide: the two slots were field neighbors in every shared season. Mistral Medium 3.5 and DeepSeek V4 Pro — both builds unchanged across the record — finished 3rd and 2nd of 10 in Season 5, then 9th and 10th of 11 in Season 6, riding from near the top of the field to near its bottom together. The window is Seasons 5–6 — Mistral’s first 2 completed TradeRank seasons and the pair’s only shared ones. Within each, the 2 slots faced identical conditions: one crypto list, one rulebook, a $10,000 simulated stake apiece. Each figure below is drawn from the generated evidence pack linked at the end.

Which versions traded each season

SeasonDatesMistral versionDeepSeek versionAsset universeField
Season 5May–Jun 2026Mistral Medium 3.5DeepSeek V4 Pro10 crypto assets10 models
Season 6Jun–Jul 2026Mistral Medium 3.5DeepSeek V4 Pro10 crypto assets11 models

Head-to-head results by season

SeasonMistral returnDeepSeek returnGap (Mistral − DeepSeek, pts)Rank (Mistral / DeepSeek)Trades (Mistral / DeepSeek)Win rate (Mistral / DeepSeek)Max drawdown (Mistral / DeepSeek)Winner
Season 5+9.55%+11.85%-2.303rd of 10 / 2nd of 106 / 883.3% / 75%7.94% / 9.76%DeepSeek
Season 6-2.95%-3.17%+0.499th of 11 / 10th of 118 / 1525% / 46.7%6.24% / 9.72%Mistral

Returns, season by season

Grouped bars of Mistral and DeepSeek returns in Seasons 5 and 6: both high and close in Season 5, both slightly negative and nearly equal in Season 6.
The bars come in matched pairs. Season 5 put both models high — +11.85% for DeepSeek, +9.55% for Mistral — and Season 6's bars, drawn on the pack's comparability basis, put both just under zero at -3.02% against -3.52%; the winner is the same on either basis, and only the margin's size depends on the convention. Source

Where the Mistral vs DeepSeek for Trading Margin Lived

2 seasons, and neither produced any distance. Season 5's contest happened near the top of the standings: DeepSeek's +11.85% took 2nd of 10 and Mistral's +9.55% took 3rd, a 2.30-point gap between adjacent finishers. Season 6 restaged the same adjacency at the other end — Mistral 9th of 11, DeepSeek 10th — with the gap compressed to 0.49 points and reversed in sign.

The alternation matters less than the compression. The series' 2 margins are 2.30 and 0.49 points, and the field ranks — which restate these same returns against the rest of the roster — say the two accounts kept ending up in the same part of the table in both seasons. The live LLM trading benchmark picks the pair up from here; on the closed record, the margin never left arm's reach.

A 0.49-Point Decision, and the Convention Underneath It

A margin that size deserves its measurement spelled out. Season 6 ended with a forced liquidation — every open position across the field sold at the close, with fees — while Season 5 closed by marking open positions at their last price. To keep the pair's 2 gaps on comparable books, the pack computes them on a comparability basis: for Season 6 it reads each model's last pre-liquidation daily snapshot, which puts Mistral at -3.02% and DeepSeek at -3.52%, and the gap at +0.49. The official standings — the -2.95% and -3.17% in the table — photograph the post-liquidation accounts instead.

The reassuring detail: Mistral finishes ahead of DeepSeek in Season 6 on either reading; the convention moves the size of the margin, not its direction. But a pair this compressed is exactly where conventions start to matter, and a reader should know that the finest number on this page — the 0.49 — is a fact about pre-liquidation books specifically. Both figures, both bases, sit side by side in the pack.

Each season's return against its deepest drawdown

Return-versus-drawdown scatter for Mistral and DeepSeek across Seasons 5 and 6; DeepSeek's points sit deeper on the drawdown axis both times.
DeepSeek paid more in worst-moment terms in both seasons — 9.76% against Mistral's 7.94%, then 9.72% against 6.24% — collecting the pair's best return once and its worst finish once for the same depth of dip. Source

Deeper Dips on One Side, No Payoff Pattern

DeepSeek ran the deeper maximum drawdown in both seasons, and its 2 drawdowns were nearly identical — 9.76%, then 9.72% — against Mistral's 7.94% and 6.24%. What that consistency bought changed completely between seasons: in Season 5 the deeper dip accompanied the pair's best return and the win; in Season 6 an almost equal dip accompanied the pair's worst return and the loss. Same worst-moment cost, opposite outcomes.

The usual scope note applies with extra force in a pair this close. Maximum drawdown is a single point on the same equity path the return summarizes; the pack carries no volatility column; and with margins of 2.30 and 0.49 points, small differences in when each account's worst moment landed could swamp any structural story. The cells are worth reporting because they are the only risk cells that exist — not because 2 of them can support a conclusion.

Trade count by season

Trade counts for Mistral and DeepSeek in Seasons 5 and 6: DeepSeek placed more orders in both seasons, and nearly doubled its count in Season 6.
DeepSeek's book grew from 8 orders to 15 between the seasons while Mistral's went from 6 to 8; the wider activity gap arrived in the season DeepSeek finished behind. Source

The Openings: A Lone Qualifier Each

Season 5's opening cycles left the pack a neat symmetry: both models' first attributable gains were rule-gated longs on whatever their filters let through. Mistral's was TRX, admitted on the season's first cycle as the day's only qualifying asset. DeepSeek's (DeepSeek V4 Pro) was TON at the end of May, its log noting "Daily RSI not in ideal dip zone, so confidence set to minimum entry level" — a qualifier its own rules admitted only at minimum confidence. Each model's first attributable loss was a short: DeepSeek's an ETH short from the opening cycle, reasoning the market was "oversold but trend strength supports continuation"; Mistral's a DOGE short weeks later.

The pack reconstructs these outcomes from position-state changes between consecutive daily snapshots — no fills, no sizes, no exits — and preserves only each model's earliest attributable gain and loss. 4 decisions cannot sketch either account's season; what they document is that each model's entry rules admitted exactly one long candidate in the same opening window, and each logged its first attributable loss on a short.

How We Measured a Pair This Close

Precision talk is only honest if the shared rig comes first: within each season, both slots received the same 10-asset crypto list, one decision slot per day, live prices into simulated $10,000 accounts, and a modeled 0.1% fee per fill, with slippage and borrow costs unmodeled. Between the seasons, the roster expanded (10 models, then 11), Season 6 switched prompt regimes mid-season — day-trading giving way to a medium-term investor framing — and its era notes add a mid-season widening of the universe toward US equities, boundary unproven — changes shared by both slots, which is what keeps the within-season comparison fair and the cross-season one caveated.

Production is deterministic end to end: a generator deposits the paired record into the evidence pack, a content hash rides with the pack, and this page has to agree with the pack cell for cell before it publishes. No number here was produced or rounded by the language model that wrote the sentences — in a pair whose deciding margin is 0.49 points, that separation is not a formality.

Limitations: What a 0.49-Point Margin Cannot Carry

Start with the closest cell, because everything downstream leans on it. Mistral's Season 6 win is 0.49 points on pre-liquidation books — real, recorded, and fragile: a different closing convention resizes it (though not its sign), and a sample of 2 seasons cannot tell what, if anything, it reflects. The 1-1 series is therefore best read as a record without separation. Season 5's returns were mostly unrealized on both sides, so the pair's green season describes end-of-season marks more than settled outcomes; the win rates (83.3% and 75%, then 25% and 46.7%) count open positions and are not closed-trade hit rates; and the 4 preserved decisions are snapshot reconstructions. The stable builds — Mistral Medium 3.5 and DeepSeek V4 Pro throughout — remove the version confound, which makes this one of the cleaner 2-season records in the set, and still: 2 observations, margins of 2.30 and 0.49, and a next season that could move every summary on this page. The Mistral vs DeepSeek evidence pack holds all of it at full precision.

Frequently Asked Questions

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

The record declines to separate them: 1-1 across 2 shared TradeRank seasons, with DeepSeek ahead by 2.30 points in Season 5 and Mistral ahead by 0.49 in Season 6 — the pair also finished in adjacent field positions both times. Margins that size on a sample of 2 support 'closely matched so far' and nothing stronger.

DeepSeek vs Mistral for trading: what seasons does the record cover?

Seasons 5 and 6 — the only completed TradeRank seasons both slots entered, since Mistral joined the roster in Season 5. Both ran on the same archived 10-asset crypto list — with an era note recording a mid-Season 6 universe expansion whose boundary is unprovable — and both builds held constant throughout: Mistral Medium 3.5 and DeepSeek V4 Pro, with no mid-record version changes on either side.

Mistral vs DeepSeek for trading: what did each shared season return?

Mistral went +9.55% (3rd of 10) and then -2.95% (9th of 11); DeepSeek went +11.85% (2nd of 10) and then -3.17% (10th of 11). DeepSeek won Season 5 by 2.30 points; Mistral won Season 6 by 0.49 points on the pack's pre-liquidation comparability basis, and by either convention the Season 6 order is the same.

Why is the Season 6 margin quoted on a 'comparability basis'?

Season 6 ended with every position force-liquidated, while Season 5 closed by marking open positions at their last price. Comparing gaps across those 2 conventions would mix different kinds of books, so the pack measures Season 6's gap from each model's last pre-liquidation snapshot: Mistral -3.02%, DeepSeek -3.52%, a +0.49 margin. The table's -2.95% and -3.17% are the official post-liquidation standings; Mistral leads on both readings.

How much of this pair's Season 5 returns had actually settled?

Little of either. DeepSeek's +11.85% was carrying +$1,411.45 in open positions against -$226.40 realized; Mistral's +9.55% combined +$774.47 open with +$180.39 realized — the only settled profit either model produced in the shared record. Season 6's books, force-liquidated at the close, settled at -$276.24 for Mistral and -$285.39 for DeepSeek.

How many seasons would it take to call Mistral vs DeepSeek decisively?

More than any fixed number, what's needed is separation — and this pair has shown none: adjacent ranks twice, margins of 2.30 and 0.49 points, a split series. If future shared seasons keep producing margins like these, even a long record would honestly read as no separation shown under these conditions. The pack regenerates as each season closes, so the record will say so either way.

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