Model comparison

GPT-5.3 Codex vs MiMo-V2-Omni

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.6 on the Noometry Index. MiMo-V2-Omni costs 27× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Summary

  • The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 43.3.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
  • GPT-5.3 Codex accepts more context: 400K tokens versus 262K.

Side by side

GPT-5.3 Codex and MiMo-V2-Omni specifications
GPT-5.3 CodexMiMo-V2-Omni
ProviderOpenAIXiaomi
Noometry Index45.843.6
Released2026-02-052026-03-18
WeightsProprietaryProprietary
Context window400K262K
Max output128K131K
Input $ / M tokens$1.75$0.14
Output $ / M tokens$14$0.28
Results tracked818

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Category by category

Coding GPT-5.3 Codex leads

GPT-5.3 Codex: 48.6 (#56), MiMo-V2-Omni: 43.3 (#89)

Coding benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
SWE-bench Verified74.8%—
LMArena WebDev1409—
WeirdML79.3%—
LMArena Coding—1466
ALE-Bench1,655—

Agentic & Tool Use Not comparable

GPT-5.3 Codex: 48.0 (#9), MiMo-V2-Omni: —

Agentic & Tool Use benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
Terminal-Bench78.4%—
METR Time Horizons74.5%—
Vending-Bench 25,940—

Reasoning Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 29.7 (#88)

Reasoning benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Hard Prompts—1445
Epoch Capabilities Index156.77—

Math Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 39.1 (#115)

Math benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Math—1430

Knowledge Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 40.5 (#118)

Knowledge benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Expert—1449

Multimodal Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 38.6 (#63)

Multimodal benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Vision—1228

Multilingual Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 51.8 (#102)

Multilingual benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Non-English—1404
LMArena Chinese—1465
LMArena French—1447
LMArena German—1399
LMArena Japanese—1317
LMArena Korean—1355
LMArena Russian—1412
LMArena Spanish—1434

Instruction Following Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 75.2 (#66)

Instruction Following benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Instruction Following—1428

Long Context Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 44.1 (#76)

Long Context benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Longer Query—1442

Writing & Preference Not comparable

GPT-5.3 Codex: —, MiMo-V2-Omni: 61.4 (#87)

Writing & Preference benchmarks
BenchmarkGPT-5.3 CodexMiMo-V2-Omni
LMArena Text—1423
LMArena Creative Writing—1392
LMArena Multi-Turn—1445

Frequently asked questions

Is GPT-5.3 Codex better than MiMo-V2-Omni?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.6 on the Noometry Index. MiMo-V2-Omni costs 27× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

Which is cheaper, GPT-5.3 Codex or MiMo-V2-Omni?

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

Is GPT-5.3 Codex or MiMo-V2-Omni better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 43.3 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 262K.

How many benchmarks do GPT-5.3 Codex and MiMo-V2-Omni share?

0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and MiMo-V2-Omni has 18.

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