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GPT-5.4 Pro vs MiMo-V2.5-Pro

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

GPT-5.4 Pro

91

VS

MiMo-V2.5-Pro

86

2 categoriesvs0 categories

Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

Category Radar

Head-to-Head by Category

Category Breakdown

Agentic

GPT-5.4 Pro
89.3vs68.4

+20.9 difference

Knowledge

GPT-5.4 Pro
49vs48

+1.0 difference

Operational Comparison

GPT-5.4 Pro

MiMo-V2.5-Pro

Price (per 1M tokens)

$30 / $180

$null / $null

Speed

74 t/s

N/A

Latency (TTFT)

151.79s

N/A

Context Window

1.05M

1M

Quick Verdict

Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 86. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 89.3 against 68.4. The single biggest benchmark swing on the page is HLE, 58.7% to 48%.

GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for MiMo-V2.5-Pro.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, GPT-5.4 Pro or MiMo-V2.5-Pro?

GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 86. The biggest single separator in this matchup is HLE, where the scores are 58.7% and 48%.

Which is better for knowledge tasks, GPT-5.4 Pro or MiMo-V2.5-Pro?

GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 49 versus 48. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.4 Pro or MiMo-V2.5-Pro?

GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 68.4. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.

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Last updated: June 2, 2026

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