Noometry

Model comparison

GPT-5.2 Codex vs Qwen3-30B-A3B

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 22× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GPT-5.2 Codex OpenAI

42.2

Rank #107 Reported

Qwen3-30B-A3B Alibaba (Qwen)

38.5

Rank #174 Confirmed

Summary

  • The widest gap is in agentic & tool use, where GPT-5.2 Codex leads 40.7 to 29.5.
  • Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
  • GPT-5.2 Codex accepts more context: 400K tokens versus 41K.
  • Qwen3-30B-A3B has downloadable open weights; the other is API-only.

Side by side

GPT-5.2 CodexQwen3-30B-A3B
ProviderOpenAIAlibaba (Qwen)
Noometry Index42.238.5
Released2025-12-182025-04-28
WeightsProprietaryOpen
Context window400K41K
Max output128K16K
Input $ / M tokens$1.75$0.12
Output $ / M tokens$14$0.50
Results tracked532

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Category by category

Coding GPT-5.2 Codex leads

GPT-5.2 Codex: 45.4 (#66), Qwen3-30B-A3B: 37.0 (#188)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
SWE-bench Verified (bash only)72.8%—
LMArena WebDev1339—
SWE-bench Multilingual66.3%—
SciCode—33.3%
WeirdML—29.8%
LMArena Coding—1416
ALE-Bench1,300—

Agentic & Tool Use GPT-5.2 Codex leads

GPT-5.2 Codex: 40.7 (#20), Qwen3-30B-A3B: 29.5 (#75)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
Terminal-Bench66.5%—
Berkeley Function Calling Leaderboard—41.4%

Reasoning Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 21.6 (#193)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
Kagi LLM Benchmark—54.9%
CritPt—0.3%
Chess Puzzles—8%
LMArena Hard Prompts—1398
DTBench—69.3%
LMCA—22.4%
Epoch Capabilities Index—139.63

Math Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 36.0 (#133)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
MathArena Final-Answer Competitions—47.8%
OTIS Mock AIME 2024-2025—70.3%
LMArena Math—1394

Knowledge Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 41.7 (#96)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
GPQA Diamond—70.1%
Confabulations—12.3%
LMArena Expert—1395

Multilingual Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 49.8 (#126)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
LMArena Non-English—1372
LMArena Chinese—1434
LMArena French—1419
LMArena German—1379
LMArena Japanese—1338
LMArena Korean—1333
LMArena Russian—1369
LMArena Spanish—1403

Instruction Following Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 72.2 (#137)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
LMArena Instruction Following—1364

Long Context Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 31.0 (#278)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
Fiction.LiveBench—40.6%
LMArena Longer Query—1379

Writing & Preference Not comparable

GPT-5.2 Codex: —, Qwen3-30B-A3B: 55.9 (#138)

BenchmarkGPT-5.2 CodexQwen3-30B-A3B
LMArena Text—1384
LMArena Creative Writing—1318
Short-Story Creative Writing—75.3%
LMArena Multi-Turn—1378

Frequently asked questions

Is GPT-5.2 Codex better than Qwen3-30B-A3B?

GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 38.5 on the Noometry Index. Qwen3-30B-A3B costs 22× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

Which is cheaper, GPT-5.2 Codex or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

Is GPT-5.2 Codex or Qwen3-30B-A3B better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 37.0 in the Noometry coding category.

Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 41K.

How many benchmarks do GPT-5.2 Codex and Qwen3-30B-A3B share?

0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Qwen3-30B-A3B has 32.

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