Noometry

Model comparison

GPT-4o mini vs Qwen3-Next 80B-A3B Instruct

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.5 on the Noometry Index. GPT-4o mini costs 3.3× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

Last verified . 23 shared benchmarks.

GPT-4o mini OpenAI

25.5

Rank #343 Confirmed

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

43.0

Rank #102 Confirmed

Summary

  • They share 23 benchmarks with published results for both. GPT-4o mini scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3-Next 80B-A3B Instruct leads 38.8 to 10.4.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for GPT-4o mini and 66.7% for Qwen3-Next 80B-A3B Instruct.
  • GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
  • Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 128K.
  • Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4o miniQwen3-Next 80B-A3B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index25.543.0
Released2024-07-182025-09
WeightsProprietaryOpen
Context window128K131K
Max output16K33K
Input $ / M tokens$0.15$0.50
Output $ / M tokens$0.60$2
Results tracked6025

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Category by category

Coding Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 22.0 (#335), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
LMArena Coding12901440
Aider Polyglot3.6%—
WeirdML11.8%—
BigCodeBench Instruct46.1%—
LiveBench Coding43.1%—
BigCodeBench Complete57.4%—
HumanEval+83.5%—
MBPP+72.2%—

Agentic & Tool Use Not comparable

GPT-4o mini: 27.5 (#101), Qwen3-Next 80B-A3B Instruct: —

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
BALROG17.4%—

Reasoning Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 8.7 (#347), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
Kagi LLM Benchmark28.8%66.7%
LMArena Hard Prompts12671428
ARC-AGI-20%—
SimpleBench10.7%—
Chess Puzzles0%—
LiveBench Reasoning32.8%—
Mystery Game Puzzles12%—
DTBench54.4%—
LiveBench Data Analysis50%—
LMCA10.4%—
Epoch Capabilities Index126.56—
LiveBench41.3%—
PIQA88.7%—

Math Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 10.4 (#314), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
Omni-MATH28%46.7%
LMArena Math12671440
FrontierMath (Tiers 1-3)0.7%—
OTIS Mock AIME 2024-20256.9%—
LiveBench Math36.3%—
MATH Level 552.6%—
GSM8K91.3%—

Knowledge Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 17.7 (#284), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
MMLU-Pro60.3%78.6%
GPQA (HELM)36.8%63%
LMArena Expert12351417
GPQA Diamond37.7%—
SimpleQA Verified8.3%—
Confabulations37.2%—
Vectara Hallucination Rate—9.3%
BoolQ88.7%—
MMLU81.8%—

Multimodal Not comparable

GPT-4o mini: 25.9 (#122), Qwen3-Next 80B-A3B Instruct: —

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
LMArena Vision1066—
Video-MME64.8%—
GeoBench64%—
VPCT34%—

Multilingual Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 42.0 (#199), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
LMArena Non-English12661407
LMArena Chinese12651460
LMArena French12971413
LMArena German12721417
LMArena Japanese12161395
LMArena Korean11951364
LMArena Russian12751404
LMArena Spanish12761435

Instruction Following Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 61.9 (#239), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
IFEval78.2%81%
LMArena Instruction Following12581389
LiveBench Instruction Following56.8%—

Long Context GPT-4o mini leads

GPT-4o mini: 39.1 (#186), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
LMArena Longer Query12891403
Fiction.LiveBench—55.6%

Writing & Preference Qwen3-Next 80B-A3B Instruct leads

GPT-4o mini: 39.5 (#248), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

BenchmarkGPT-4o miniQwen3-Next 80B-A3B Instruct
LMArena Text12861417
LMArena Creative Writing12681334
WildBench79.1%80.7%
LMArena Multi-Turn12851416
Short-Story Creative Writing67.2%—
EQ-Bench Creative Writing873—
LiveBench Language28.6%—

Frequently asked questions

Is GPT-4o mini better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 25.5 on the Noometry Index. GPT-4o mini costs 3.3× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.

Which is cheaper, GPT-4o mini or Qwen3-Next 80B-A3B Instruct?

GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.

Is GPT-4o mini or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 22.0 in the Noometry coding category.

Which has the bigger context window?

Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 128K.

How many benchmarks do GPT-4o mini and Qwen3-Next 80B-A3B Instruct share?

23 benchmarks have published results for both models. GPT-4o mini has 60 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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