Noometry

Model comparison

o1-mini vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 34.0 on the Noometry Index.

Last verified . 21 shared benchmarks.

o1-mini OpenAI

34.0

Rank #235 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Summary

  • They share 21 benchmarks with published results for both. o1-mini scores higher in 1 category and Qwen3.5-Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 8.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 46.9% for o1-mini and 84.4% for Qwen3.5-Flash.

Side by side

o1-miniQwen3.5-Flash
ProviderOpenAIAlibaba (Qwen)
Noometry Index34.042.5
Released2024-09-122026-02-23
WeightsProprietaryProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked3932

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Category by category

Coding o1-mini leads

o1-mini: 35.5 (#224), Qwen3.5-Flash: 34.2 (#242)

Benchmarko1-miniQwen3.5-Flash
LMArena Coding13621412
Aider Polyglot32.9%—
LMArena WebDev—1244
WeirdML36.3%—
LiveBench Coding48%—
ALE-Bench—221.8
HumanEval+89%—
MBPP+78.8%—

Agentic & Tool Use Not comparable

o1-mini: 24.6 (#118), Qwen3.5-Flash: —

Benchmarko1-miniQwen3.5-Flash
Cybench10%—
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

o1-mini: 8.8 (#346), Qwen3.5-Flash: 33.7 (#72)

Benchmarko1-miniQwen3.5-Flash
LMArena Hard Prompts13331403
Epoch Capabilities Index135.82143.98
ARC-AGI-20.8%—
SimpleBench18.1%—
ARC-AGI-114%—
Chess Puzzles—21%
LiveBench Reasoning72.3%—
Mystery Game Puzzles—20%
DTBench—82.9%
LiveBench Data Analysis57.9%—
LMCA—29.1%
LiveBench57.8%—

Math Qwen3.5-Flash leads

o1-mini: 35.4 (#186), Qwen3.5-Flash: 37.4 (#158)

Benchmarko1-miniQwen3.5-Flash
OTIS Mock AIME 2024-202546.9%84.4%
LMArena Math13581407
FrontierMath (Feb 2025 set)1.7%6.2%
FrontierMath (Tiers 1-3)—18.2%
LiveBench Math62%—
MATH Level 589.2%—
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

o1-mini: 34.9 (#192), Qwen3.5-Flash: 43.2 (#93)

Benchmarko1-miniQwen3.5-Flash
GPQA Diamond62.4%82.3%
LMArena Expert13161407
SimpleQA Verified—20.3%
Confabulations18.6%—
Vectara Hallucination Rate—10.5%

Multilingual Qwen3.5-Flash leads

o1-mini: 43.6 (#182), Qwen3.5-Flash: 50.5 (#121)

Benchmarko1-miniQwen3.5-Flash
LMArena Non-English12891385
LMArena Chinese13141446
LMArena French12931412
LMArena German12781390
LMArena Japanese12451368
LMArena Korean12231344
LMArena Russian12831379
LMArena Spanish13031400

Instruction Following Qwen3.5-Flash leads

o1-mini: 66.7 (#206), Qwen3.5-Flash: 72.6 (#139)

Benchmarko1-miniQwen3.5-Flash
LMArena Instruction Following13041374
LiveBench Instruction Following65.4%—

Long Context Qwen3.5-Flash leads

o1-mini: 40.1 (#161), Qwen3.5-Flash: 42.4 (#124)

Benchmarko1-miniQwen3.5-Flash
LMArena Longer Query13201392

Writing & Preference Qwen3.5-Flash leads

o1-mini: 48.4 (#202), Qwen3.5-Flash: 57.9 (#122)

Benchmarko1-miniQwen3.5-Flash
LMArena Text13171397
LMArena Creative Writing12441343
LMArena Multi-Turn13141393
Short-Story Creative Writing64.9%—
LiveBench Language40.9%—

Frequently asked questions

Is o1-mini better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 34.0 on the Noometry Index.

Is o1-mini or Qwen3.5-Flash better for coding?

o1-mini scores higher on coding benchmarks: 35.5 versus 34.2 in the Noometry coding category.

How many benchmarks do o1-mini and Qwen3.5-Flash share?

21 benchmarks have published results for both models. o1-mini has 39 scored results on Noometry and Qwen3.5-Flash has 32.

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