Noometry

Model comparison

GPT-4o mini vs Qwen1.5-110B

Qwen1.5-110B is the stronger model overall, scoring 33.6 to 25.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

GPT-4o mini OpenAI

25.4

Rank #337 Confirmed

Qwen1.5-110B Alibaba (Qwen)

33.6

Rank #231 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GPT-4o mini scores higher in 4 categories and Qwen1.5-110B in 4 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen1.5-110B leads 31.1 to 9.9.
  • The biggest single-benchmark swing is BigCodeBench Complete: 57.4% for GPT-4o mini and 44.4% for Qwen1.5-110B.
  • Qwen1.5-110B has downloadable open weights; the other is API-only.

Side by side

GPT-4o miniQwen1.5-110B
ProviderOpenAIAlibaba (Qwen)
Noometry Index25.433.6
Released2024-07-182024-04-25
WeightsProprietaryOpen
Context window128K—
Max output16K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked6020

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Category by category

Coding Qwen1.5-110B leads

GPT-4o mini: 21.6 (#330), Qwen1.5-110B: 32.4 (#260)

BenchmarkGPT-4o miniQwen1.5-110B
BigCodeBench Instruct46.1%35%
LMArena Coding12901184
BigCodeBench Complete57.4%44.4%
Aider Polyglot3.6%—
WeirdML11.8%—
LiveBench Coding43.1%—
HumanEval+83.5%—
MBPP+72.2%—

Agentic & Tool Use Not comparable

GPT-4o mini: 27.2 (#95), Qwen1.5-110B: —

BenchmarkGPT-4o miniQwen1.5-110B
BALROG17.4%—

Reasoning Qwen1.5-110B leads

GPT-4o mini: 8.7 (#343), Qwen1.5-110B: 21.7 (#192)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Hard Prompts12671168
ARC-AGI-20%—
SimpleBench10.7%—
Kagi LLM Benchmark28.8%—
Chess Puzzles0%—
LiveBench Reasoning32.8%—
Mystery Game Puzzles12%—
DTBench54.4%—
LiveBench Data Analysis50%—
LMCA10.4%—
Epoch Capabilities Index126.56—
ForecastBench—57.7
LiveBench41.3%—
PIQA88.7%—

Math Qwen1.5-110B leads

GPT-4o mini: 9.9 (#307), Qwen1.5-110B: 31.1 (#199)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Math12671185
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.9%—
Omni-MATH28%—
LiveBench Math36.3%—
MATH Level 552.6%—
GSM8K91.3%—

Knowledge Qwen1.5-110B leads

GPT-4o mini: 17.7 (#279), Qwen1.5-110B: 30.7 (#217)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Expert12351144
GPQA Diamond37.7%—
SimpleQA Verified8.3%—
MMLU-Pro60.3%—
Confabulations37.2%—
GPQA (HELM)36.8%—
BoolQ88.7%—
MMLU81.8%—

Multimodal Not comparable

GPT-4o mini: 25.3 (#117), Qwen1.5-110B: —

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Vision1066—
Video-MME64.8%—
GeoBench64%—
VPCT34%—

Multilingual GPT-4o mini leads

GPT-4o mini: 42.2 (#194), Qwen1.5-110B: 33.8 (#245)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Non-English12661142
LMArena Chinese12641206
LMArena French12961150
LMArena German12721123
LMArena Japanese12161074
LMArena Korean11951044
LMArena Russian12751118
LMArena Spanish12761141

Instruction Following GPT-4o mini leads

GPT-4o mini: 62.1 (#234), Qwen1.5-110B: 60.6 (#247)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Instruction Following12591158
LiveBench Instruction Following56.8%—
IFEval78.2%—

Long Context GPT-4o mini leads

GPT-4o mini: 39.1 (#181), Qwen1.5-110B: 35.0 (#237)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Longer Query12891157

Writing & Preference GPT-4o mini leads

GPT-4o mini: 39.7 (#243), Qwen1.5-110B: 38.1 (#250)

BenchmarkGPT-4o miniQwen1.5-110B
LMArena Text12861175
LMArena Creative Writing12681148
LMArena Multi-Turn12851160
Short-Story Creative Writing67.2%—
EQ-Bench Creative Writing873—
WildBench79.1%—
LiveBench Language28.6%—

Frequently asked questions

Is GPT-4o mini better than Qwen1.5-110B?

Qwen1.5-110B is the stronger model overall, scoring 33.6 to 25.4 on the Noometry Index.

Is GPT-4o mini or Qwen1.5-110B better for coding?

Qwen1.5-110B scores higher on coding benchmarks: 32.4 versus 21.6 in the Noometry coding category.

How many benchmarks do GPT-4o mini and Qwen1.5-110B share?

19 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Qwen1.5-110B has 20.

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