mimo-v2-pro: benchmark scores, price and ranking

mimo-v2-pro from Xiaomi Corp ranks #502 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.6), based on 4 benchmark results captured up to 2026-10-13.

Organisation: Xiaomi Corp
Type: Frontier model
Open weights: No
Cheapest API price: $1.10 in / $3.30 out per million tokens (via aihubmix, observed 2026-10-13T20:47Z)
Aggregate rank: #502 of 743 (score 46.6)

Relative to other models, mimo-v2-pro is strongest on ALE-Bench (#38 of 79) and weakest on CL-bench (#12 of 16).

Across the 3 benchmarks where at least ten models are scored, mimo-v2-pro is in the top 10% on 0 and in the top half on 1.

Its cheapest listed input price, $1.10 per million tokens, is lower than that of 33% of the 427 models with a listed price.

mimo-v2-pro benchmark results

mimo-v2-pro benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
ALE-Bench	785	#38 of 79	Epoch AI Benchmarking Hub	2026-10-13
WebDev Arena	1,433	#34 of 67	Epoch AI Benchmarking Hub	2026-10-13
CL-bench	15.7%	#12 of 16	Epoch AI Benchmarking Hub	2026-10-13
CL-bench Life	6.9%	#8 of 9	Epoch AI Benchmarking Hub	2026-10-13

About mimo-v2-pro

mimo-v2-pro is a frontier model from Xiaomi Corp. The cheapest API listing we track charges $1.10 per million input tokens and $3.30 per million output tokens, through aihubmix. We hold 4 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where mimo-v2-pro stands

On our aggregate score, mimo-v2-pro is #502 of 743 ranked models, in the lower half. Its score is 46.6; the scale is centred on 50, so it sits 3.4 points below the typical model. That beats 32% of the ranked field. Among the 5 ranked Xiaomi Corp models it is #5. The next one up is mimo-v2.5 at 46.7.

mimo-v2-pro, benchmark by benchmark

ALE-Bench puts mimo-v2-pro at 785, #38 of 79. That beats 52% of the models tested, but 2,166 points short of GPT-6 Astra (max) (2,951). The results either side are gemini-2.5-pro_32K (786) and GLM-5 (766). It covers AtCoder heuristic-optimisation contests (performance rating). The board median is 764, so mimo-v2-pro is 21 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

mimo-v2-pro lands below the middle on WebDev Arena: 1,433, #34 of 67, with 49% of the field scoring higher. Claude Opus 5.5 (max) leads at 1,820; the closest result above is GLM-4.7 at 1,435. It covers building web apps, crowd-voted (Elo). The median score on this board is also 1,433. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

mimo-v2-pro lands below the middle on CL-bench: 15.7%, #12 of 16, with 69% of the field scoring higher. GPT-5.4 (xhigh) leads at 27.9%; the closest result above is Gemini 3 Pro Preview at 15.8%. It covers learning new rules from context. The board median is 17.7%, so mimo-v2-pro is 2.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

The full table above also lists the other 1 result, including boards with fewer than ten models, where a rank says little.

Strengths and weaknesses

Software engineering: solid, ahead of 51% of the field on average across 2 benchmarks. Its best board here is ALE-Bench (#38 of 79) and its weakest is WebDev Arena (#34 of 67).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so mimo-v2-pro costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on GPT-5.1 (Thinking, Medium) ($1.25) and Gemini 2.5 Pro (Thinking 32K) ($1.25).

Reading these numbers

The 4 scores on this page come from 1 source: Epoch AI Benchmarking Hub (4). No official leaderboard supplied any of them, so treat them as third-party measurements. With 4 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#499 Mellum2-12B-A2.5B-Thinking-SFT (46.6)
#500 EXAONE-3.5-7.8B-Instruct (46.6)
#501 GPT-4.5 Preview (Feb 2025) (46.6)
#503 Yi-1.5-9B-Chat (46.6)
#504 Gemini Robotics-ER 1.6 Preview (46.6)
#505 DeepSeek-V2 (46.6)