Model comparison

GPT-5.2 Codex vs MiMo-V2-Pro

GPT-5.2 Codex and MiMo-V2-Pro score almost the same on the Noometry Index (42.6 vs 43.0), so choose on price, context window or the category you care about most.

Last verified . 2 shared benchmarks.

GPT-5.2 Codex OpenAI

42.6

Rank #111 Reported

MiMo-V2-Pro Xiaomi

43.0

Rank #103 Confirmed

Summary

  • They share 2 benchmarks with published results for both. GPT-5.2 Codex scores higher in 1 category and MiMo-V2-Pro in 0 categories; one gap is clear of the uncertainty.
  • MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 400K.

Side by side

GPT-5.2 Codex and MiMo-V2-Pro specifications
GPT-5.2 CodexMiMo-V2-Pro
ProviderOpenAIXiaomi
Noometry Index42.643.0
Released2025-12-182026-03-18
WeightsProprietaryProprietary
Context window400K1.05M
Max output128K131K
Input $ / M tokens$1.75$0.43
Output $ / M tokens$14$0.87
Results tracked523

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Category by category

Coding GPT-5.2 Codex leads

GPT-5.2 Codex: 45.5 (#71), MiMo-V2-Pro: 43.8 (#83)

Coding benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
LMArena WebDev13391433
ALE-Bench1,300785.17
SWE-bench Verified (bash only)72.8%—
SWE-bench Multilingual66.3%—
LMArena Coding—1476

Agentic & Tool Use Not comparable

GPT-5.2 Codex: 41.0 (#22), MiMo-V2-Pro: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
Terminal-Bench66.5%—

Reasoning Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 22.1 (#206)

Reasoning benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
NYT Connections (extended)—25.8%
Thematic Generalization—45.9%
LMArena Hard Prompts—1457

Math Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 39.5 (#102)

Math benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
LMArena Math—1447

Knowledge Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 41.4 (#111)

Knowledge benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
LMArena Expert—1478

Multilingual Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 52.7 (#81)

Multilingual benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
LMArena Non-English—1416
LMArena Chinese—1456
LMArena French—1469
LMArena German—1417
LMArena Japanese—1366
LMArena Korean—1400
LMArena Russian—1427
LMArena Spanish—1457

Instruction Following Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 76.0 (#49)

Instruction Following benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
LMArena Instruction Following—1445

Long Context Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 41.5 (#138)

Long Context benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
CL-bench—15.7%
CL-bench Life—6.9%
LMArena Longer Query—1455

Writing & Preference Not comparable

GPT-5.2 Codex: —, MiMo-V2-Pro: 62.8 (#70)

Writing & Preference benchmarks
BenchmarkGPT-5.2 CodexMiMo-V2-Pro
LMArena Text—1436
LMArena Creative Writing—1415
LMArena Multi-Turn—1456

Frequently asked questions

Is GPT-5.2 Codex better than MiMo-V2-Pro?

GPT-5.2 Codex and MiMo-V2-Pro score almost the same on the Noometry Index (42.6 vs 43.0), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-5.2 Codex or MiMo-V2-Pro?

MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GPT-5.2 Codex or MiMo-V2-Pro better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 43.8 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 400K.

How many benchmarks do GPT-5.2 Codex and MiMo-V2-Pro share?

2 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and MiMo-V2-Pro has 23.

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