MiMo v2 Flash — Benchmarks

Benchmark scores for MiMo v2 Flash aggregated from public leaderboards (5 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.

No llmrun Composite Score for MiMo v2 Flash: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.

MiMo v2 Flash reasoning benchmarks

Multi-step logic and problem-solving — can the model think through a hard problem rather than recall an answer.

CritPt
CritPt (Critical Points) tests graduate-level physics problem-solving on research-style questions spanning mechanics, electromagnetism, quantum mechanics, and more. It was created by physicists to probe whether a model can reason through multi-step physics rather than pattern-match textbook answers.
0.0%
0.0%
median 1.1%open leader 26.6%
Overall best: GPT 5.6 Sol Max 32.3%
lowest · #66 of 66 open · #219 of 219 all
#66 of 66
#219 of 219
Lab-reported
Epoch AI

MiMo v2 Flash coding benchmarks

Writing, editing, and fixing real code — measured by whether the resulting program actually runs and passes tests.

SciCode
SciCode asks a model to write real scientific-computing code — implementing multi-step numerical methods drawn from physics, chemistry, biology, and math research — and checks the output against reference solutions. It was built by a team of scientists and ML researchers to test coding ability on genuine research problems, not typical software tasks.
25.9%
25.9%
median 38.7%open leader 60.9%
Overall best: Claude Opus 5.5 Max 66.9%
11th percentile · #59 of 66 open · #199 of 207 all
#59 of 66
#199 of 207
Lab-reported
Epoch AI
ALE-Bench
ALE-Bench, from Sakana AI and AtCoder, tests long-horizon algorithmic optimisation using problems drawn from AtCoder Heuristic Contests, where there is no single correct answer and solutions are scored on quality. Results are reported as an AtCoder-style performance rating, where higher is better.
738.0
738.0
median 694.1open leader 1524.5
Overall best: GPT 6 Astra Max 2951.3
52nd percentile · #21 of 43 open · #80 of 122 all
#21 of 43
#80 of 122
Lab-reported
Epoch AI

Other results (1)· leaderboard-only, not part of the llmrun Score

LMArena WebDev
Code Arena (formerly WebDev Arena) is Arena's head-to-head coding leaderboard: two models each build a real web app or UI from the same prompt, and people vote blind on which result is better. The rating shown is a relative Bradley-Terry score, not a percentage — compare it only to other models on this board.
1330.3
1330.3
median 1411.4open leader 1655.2
Overall best: Claude Opus 5.5 (Max) 1807.3
22nd percentile · #41 of 52 open · #115 of 138 all
#41 of 52
#115 of 138
Arena
Arena · Oct 2026

MiMo v2 Flash instruction following benchmarks

How precisely a model obeys explicit, verifiable instructions — format, length, and content constraints — and, more broadly, how much people prefer its responses head-to-head in blind human voting.

LMArena Text
Arena (arena.ai, formerly LMArena / Chatbot Arena) ranks models by millions of blind, head-to-head human votes on real prompts. The Arena Score shown here is a Bradley-Terry rating computed with Arena's default style control, so higher means people preferred that model's answers more often — it's a relative rating, not a percentage, so compare it only to other models on this board.
1391.5
1391.5
median 1321.5open leader 1487.1
Overall best: Gemini 4 Argon (High) 1523.9
70th percentile · #56 of 187 open · #166 of 405 all
#56 of 187
#166 of 405
Arena
Arena · Oct 2026

Scores aggregated from public benchmark sources (Epoch AI: 3 boards, Arena: 2 boards) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.