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GPT-5.6 Sol vs MiMo V2.5 Pro

28 SHARED BENCHMARKS

Across 28 shared benchmarks, GPT-5.6 Sol scores higher on 27 and MiMo V2.5 Pro on 1. The widest gap is τ-Bench V3 · Banking, where GPT-5.6 Sol scores 44.3 against 9.9. MiMo V2.5 Pro is the cheaper of the two on tracked API pricing ($0.43 against $4.00 per million input tokens).

OPENAIVSXIAOMI28 SHARED271 HEAD-TO-HEADNEWEST SCORE ADDED

At a glance

MakerOpenAIXiaomi
Released
Price per 1M tokens input / output$4.00 / $20.00$0.43 / $0.87
Cost of 1M in + 1M out$24.00$1.30 18.5× less
Head-to-head of 28 shared benchmarks27 wins1 wins
Scores tracked independently verified219 3171 1

Release dates per Artificial Analysis. Prices: Artificial Analysis for GPT-5.6 Sol; Artificial Analysis for MiMo V2.5 Pro. ◆ = independently verified score.

Where each leadsby capability area · benchmark wins

AreaGPT-5.6 SolWINSMiMo V2.5 Pro
Reasoning30GPT-5.6 Sol leads 3 of 3 · widest: Humanity's Last Exam 49.5 vs 14.8
Coding40GPT-5.6 Sol leads 4 of 4 · widest: Terminal-Bench Hard 65.9 vs 35.6
Agentic50GPT-5.6 Sol leads 5 of 5 · widest: τ-Bench V3 · Banking 44.3 vs 9.9
Factuality11Even, 1–1 of 2
Instruction Following10GPT-5.6 Sol leads 1 of 1 · widest: IFBench 72.7 vs 42.7
Long Context10GPT-5.6 Sol leads 1 of 1 · widest: AA-LCR 84 vs 41.7

Biggest gaps

GPT-5.6 Sol pulls furthest ahead on

  1. τ-Bench V3 · Banking44.3 vs 9.9
  2. Humanity's Last Exam49.5 vs 14.8
  3. AA-Omniscience · Accuracy59.4 vs 27.2

MiMo V2.5 Pro pulls furthest ahead on

No ratified-area lead of 3 points or more.

Every shared benchmark28 · grouped by area

Reasoning 3

Coding 4

Agentic 5

GDPVal54.430.4
Terminal-Bench 4.039.90

Instruction Following 1

IFBench72.742.7

Long Context 1

AA-LCR8441.7

Other shared benchmarks 12

Each score is the one the model's own page shows — the most authoritative tracked result for that benchmark, on the benchmark's standard methodology (source-attributed). ↓ marks lower-is-better metrics; ◆ an independently verified score. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (direct, direct), otherwise the lowest tracked offer.

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