Noometry

Model comparison

ERNIE 5.0 0110 vs Qwen3 235B-A22B

Qwen3 235B-A22B is the stronger model overall, scoring 43.2 to 41.2 on the Noometry Index.

Last verified . 17 shared benchmarks.

ERNIE 5.0 0110 Baidu

41.2

Rank #129 Confirmed

Qwen3 235B-A22B Alibaba (Qwen)

43.2

Rank #83 Confirmed

Summary

  • They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 4 categories and Qwen3 235B-A22B in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 235B-A22B leads 48.5 to 36.5.
  • Qwen3 235B-A22B has downloadable open weights; the other is API-only.

Side by side

ERNIE 5.0 0110Qwen3 235B-A22B
ProviderBaiduAlibaba (Qwen)
Noometry Index41.243.2
Released—2025-04
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked2049

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Category by category

Coding Qwen3 235B-A22B leads

ERNIE 5.0 0110: 42.3 (#94), Qwen3 235B-A22B: 43.8 (#72)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Coding14551445
Aider Polyglot—59.6%
SciCode—42.4%
WeirdML—41%

Agentic & Tool Use Not comparable

ERNIE 5.0 0110: —, Qwen3 235B-A22B: 33.7 (#48)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
Berkeley Function Calling Leaderboard—52.1%
Vending-Bench 2—-11.34

Reasoning Too close to call

ERNIE 5.0 0110: 16.3 (#296), Qwen3 235B-A22B: 15.8 (#302)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Hard Prompts14461433
ARC-AGI-2—1.3%
SimpleBench—31%
Kagi LLM Benchmark—69.4%
NYT Connections (extended)10.3%—
ARC-AGI-1—11%
CritPt—0%
Chess Puzzles—12%
Thematic Generalization41.7%—
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%
Epoch Capabilities Index—143.87
ForecastBench—59.7

Math Qwen3 235B-A22B leads

ERNIE 5.0 0110: 36.5 (#111), Qwen3 235B-A22B: 48.5 (#51)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Math14371431
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH—71.8%
MATH Level 5—68.9%
FrontierMath (Feb 2025 set)—8.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3 235B-A22B leads

ERNIE 5.0 0110: 39.2 (#125), Qwen3 235B-A22B: 49.5 (#67)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Expert14271460
GPQA Diamond—80.1%
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—72.7%

Multimodal Not comparable

ERNIE 5.0 0110: 39.1 (#49), Qwen3 235B-A22B: —

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Vision1248—

Multilingual ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 54.3 (#47), Qwen3 235B-A22B: 52.5 (#84)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Non-English14361410
LMArena Chinese15121481
LMArena French14661445
LMArena German14621432
LMArena Japanese13831400
LMArena Korean14061391
LMArena Russian14461411
LMArena Spanish14731429

Instruction Following ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 74.7 (#88), Qwen3 235B-A22B: 72.8 (#132)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Instruction Following14131408
IFEval—83.5%

Long Context Qwen3 235B-A22B leads

ERNIE 5.0 0110: 43.4 (#90), Qwen3 235B-A22B: 46.1 (#25)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Longer Query14221426
Fiction.LiveBench—75%

Writing & Preference ERNIE 5.0 0110 leads

ERNIE 5.0 0110: 63.4 (#64), Qwen3 235B-A22B: 59.8 (#103)

BenchmarkERNIE 5.0 0110Qwen3 235B-A22B
LMArena Text14451419
LMArena Creative Writing14261384
LMArena Multi-Turn14331432
Short-Story Creative Writing—83%
EQ-Bench Creative Writing—1366
WildBench—86.6%

Frequently asked questions

Is ERNIE 5.0 0110 better than Qwen3 235B-A22B?

Qwen3 235B-A22B is the stronger model overall, scoring 43.2 to 41.2 on the Noometry Index.

Is ERNIE 5.0 0110 or Qwen3 235B-A22B better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 43.8 versus 42.3 in the Noometry coding category.

How many benchmarks do ERNIE 5.0 0110 and Qwen3 235B-A22B share?

17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Qwen3 235B-A22B has 49.

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