Noometry

Model comparison

GPT-5.2 Codex vs Qwen3-Next 80B-A3B Instruct

GPT-5.2 Codex and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.2 vs 42.5), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

GPT-5.2 Codex OpenAI

42.2

Rank #107 Reported

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

42.5

Rank #100 Confirmed

Summary

  • The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 41.9.
  • Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • GPT-5.2 Codex accepts more context: 400K tokens versus 131K.
  • Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 CodexQwen3-Next 80B-A3B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.242.5
Released2025-12-182025-09
WeightsProprietaryOpen
Context window400K131K
Max output128K33K
Input $ / M tokens$1.75$0.50
Output $ / M tokens$14$2
Results tracked525

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Category by category

Coding GPT-5.2 Codex leads

GPT-5.2 Codex: 45.4 (#66), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
SWE-bench Verified (bash only)72.8%—
LMArena WebDev1339—
SWE-bench Multilingual66.3%—
LMArena Coding—1441
ALE-Bench1,300—

Agentic & Tool Use Not comparable

GPT-5.2 Codex: 40.7 (#20), Qwen3-Next 80B-A3B Instruct: —

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
Terminal-Bench66.5%—

Reasoning Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
Kagi LLM Benchmark—66.7%
LMArena Hard Prompts—1428

Math Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
Omni-MATH—46.7%
LMArena Math—1440

Knowledge Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
MMLU-Pro—78.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—63%
LMArena Expert—1416

Multilingual Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
LMArena Non-English—1407
LMArena Chinese—1461
LMArena French—1415
LMArena German—1416
LMArena Japanese—1398
LMArena Korean—1366
LMArena Russian—1403
LMArena Spanish—1436

Instruction Following Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
IFEval—81%
LMArena Instruction Following—1388

Long Context Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
Fiction.LiveBench—55.6%
LMArena Longer Query—1403

Writing & Preference Not comparable

GPT-5.2 Codex: —, Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

BenchmarkGPT-5.2 CodexQwen3-Next 80B-A3B Instruct
LMArena Text—1417
LMArena Creative Writing—1333
WildBench—80.7%
LMArena Multi-Turn—1415

Frequently asked questions

Is GPT-5.2 Codex better than Qwen3-Next 80B-A3B Instruct?

GPT-5.2 Codex and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (42.2 vs 42.5), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-5.2 Codex or Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GPT-5.2 Codex or Qwen3-Next 80B-A3B Instruct better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 41.9 in the Noometry coding category.

Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 131K.

How many benchmarks do GPT-5.2 Codex and Qwen3-Next 80B-A3B Instruct share?

0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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