Noometry

Model comparison

MiMo-V2.6-Pro vs Qwen3-Next 80B-A3B Instruct

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 42.5 on the Noometry Index.

Last verified . 12 shared benchmarks.

MiMo-V2.6-Pro Xiaomi

46.7

Rank #55 Confirmed

Qwen3-Next 80B-A3B Instruct Alibaba (Qwen)

42.5

Rank #100 Confirmed

Summary

  • They share 12 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 8 categories and Qwen3-Next 80B-A3B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.6-Pro leads 53.2 to 41.9.
  • MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 131K.

Side by side

MiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
ProviderXiaomiAlibaba (Qwen)
Noometry Index46.742.5
Released2026-09-222025-09
WeightsOpenOpen
Context window1.05M131K
Max output131K33K
Input $ / M tokens$0.43$0.50
Output $ / M tokens$0.87$2
Results tracked1425

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 53.2 (#27), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Coding15381441
LMArena WebDev1618—

Reasoning Too close to call

MiMo-V2.6-Pro: 30.4 (#76), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Hard Prompts15111428
Kagi LLM Benchmark—66.7%

Math MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 37.9 (#91), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Math14971440
Omni-MATH—46.7%

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.0 (#85), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Expert15481416
MMLU-Pro—78.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—63%

Multimodal Not comparable

MiMo-V2.6-Pro: 40.2 (#40), Qwen3-Next 80B-A3B Instruct: —

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Vision1265—

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 57.0 (#15), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Non-English14741407
LMArena Chinese15321461
LMArena Russian14811403
LMArena French—1415
LMArena German—1416
LMArena Japanese—1398
LMArena Korean—1366
LMArena Spanish—1436

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#10), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Instruction Following14901388
IFEval—81%

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#26), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Longer Query15001403
Fiction.LiveBench—55.6%

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.9 (#32), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

BenchmarkMiMo-V2.6-ProQwen3-Next 80B-A3B Instruct
LMArena Text14911417
LMArena Creative Writing14651333
LMArena Multi-Turn14631415
WildBench—80.7%

Frequently asked questions

Is MiMo-V2.6-Pro better than Qwen3-Next 80B-A3B Instruct?

MiMo-V2.6-Pro is the stronger model overall, scoring 46.7 to 42.5 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Pro or Qwen3-Next 80B-A3B Instruct?

MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.

Is MiMo-V2.6-Pro or Qwen3-Next 80B-A3B Instruct better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 53.2 versus 41.9 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 131K.

How many benchmarks do MiMo-V2.6-Pro and Qwen3-Next 80B-A3B Instruct share?

12 benchmarks have published results for both models. MiMo-V2.6-Pro has 14 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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