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GPT-5.4 Pro vs MiMo-V2-Flash

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-Flash

61

0 categoriesvs2 categories

Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Category Radar

Head-to-Head by Category

Category Breakdown

Knowledge

MiMo-V2-Flash
49vs84.5

+35.5 difference

Math

MiMo-V2-Flash
50vs94.1

+44.1 difference

Operational Comparison

GPT-5.4 Pro

MiMo-V2-Flash

Price (per 1M tokens)

$30 / $180

$0 / $0

Speed

74 t/s

129 t/s

Latency (TTFT)

151.79s

2.14s

Context Window

1.05M

256K

Quick Verdict

Pick GPT-5.4 Pro if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

GPT-5.4 Pro is clearly ahead on the provisional aggregate, 91 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. That is roughly Infinityx on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for MiMo-V2-Flash.

Benchmark Deep Dive

Frequently Asked Questions (3)

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

GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 91 to 61.

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

MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 49. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.

Which is better for math, GPT-5.4 Pro or MiMo-V2-Flash?

MiMo-V2-Flash has the edge for math in this comparison, averaging 94.1 versus 50. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.

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Last updated: April 24, 2026

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