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MiMo-V2.5-Pro vs MiMo-V2-Flash

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

MiMo-V2.5-Pro

82

VS

MiMo-V2-Flash

62

0 categoriesvs2 categories

Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Category Radar

Head-to-Head by Category

Category Breakdown

Coding

MiMo-V2-Flash
57.2vs73.4

+16.2 difference

Knowledge

MiMo-V2-Flash
48vs84.5

+36.5 difference

Operational Comparison

MiMo-V2.5-Pro

MiMo-V2-Flash

Price (per 1M tokens)

$1 / $3

$0 / $0

Speed

N/A

129 t/s

Latency (TTFT)

N/A

2.14s

Context Window

1M

256K

Quick Verdict

Pick MiMo-V2.5-Pro if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

MiMo-V2.5-Pro is clearly ahead on the provisional aggregate, 82 to 62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

MiMo-V2.5-Pro is also the more expensive model on tokens at $1.00 input / $3.00 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. MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 256K for MiMo-V2-Flash.

Benchmark Deep Dive

Frequently Asked Questions (3)

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

MiMo-V2.5-Pro is ahead on BenchLM's provisional leaderboard, 82 to 62.

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

MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 84.5 versus 48. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.

Which is better for coding, MiMo-V2.5-Pro or MiMo-V2-Flash?

MiMo-V2-Flash has the edge for coding in this comparison, averaging 73.4 versus 57.2. MiMo-V2.5-Pro stays close enough that the answer can still flip depending on your workload.

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Last updated: April 22, 2026

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