The Hellfire Gala has returned in Season 7.5 of Marvel Rivals, bringing with it an impressive selection of costumes. The event features stunning costumes for characters like Phoenix and Moon Knight, but the most notable for many players will undoubtedly be the Emma Frost Gala Glam costume. After all, players gave significant support for her in last year's community poll, and now NetEase has finally released her free costume. At this point, we explain how you can obtain the free Emma Frost costume in Marvel Rivals.
How to Get the Free Marvel Rivals Emma Frost Gala Glam Costume?

The free Emma Frost costume in Marvel Rivals can be obtained during the 2nd Phase of the Hellfire Gala 2026 event. This event started on April 30 at 09:00 UTC. When the second prize list is active, you can earn Compute Power by collecting XP and find two matching tiles to unlock the free costume.
It's hard to specify exactly how long it will take to collect the tiles, especially since they open randomly. However, this process should not take as long as a standard event pass.
Marvel Rivals Hellfire Gala 2026 Event Announced
The Hellfire Gala 2026 event in Marvel Rivals Season 7.5 offers a collection of free and premium rewards that can be unlocked by earning Compute Power and using it to analyze the tiles. Compute Power can be earned by playing matches and collecting XP. This currency can be used to unlock tiles, and two matching tiles are required to obtain a specific reward.
The premium pass for the event is called "Deep Analysis." By purchasing this, you gain permanent access to the event and have the opportunity to obtain paid costumes and cosmetics that are locked on the premium path.
Will you collect the latest free Marvel Rivals costume? Let us know in the comments below.
Is the Emma Frost Gala Glam costume free in Marvel Rivals?Yes, the Emma Frost Gala Glam costume can be earned completely for free in the game.
Is there a premium pass in the Marvel Rivals Hellfire Gala event?Yes, the Hellfire Gala 2026 event offers a premium pass called "Deep Analysis."
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