Model comparison

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

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 28.6 on the Noometry Index.

Last verified October 10, 2026. 24 shared benchmarks.

GPT-4o OpenAI

28.6

Rank #324 Confirmed

Qwen3-Next 80B-A3B Instruct

Alibaba (Qwen)

43.0

Rank #102 Confirmed

Summary

They share 24 benchmarks with published results for both. GPT-4o 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 10.6.
The biggest single-benchmark swing is Omni-MATH: 29.3% for GPT-4o and 46.7% for Qwen3-Next 80B-A3B Instruct.
Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $2.50 / $10 for GPT-4o.
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 and Qwen3-Next 80B-A3B Instruct specifications
	GPT-4o	Qwen3-Next 80B-A3B Instruct
Provider	OpenAI	Alibaba (Qwen)
Noometry Index	28.6	43.0
Released	2024-05-13	2025-09
Weights	Proprietary	Open
Context window	128K	131K
Max output	16K	33K
Input $ / M tokens	$2.50	$0.50
Output $ / M tokens	$10	$2
Results tracked	72	25

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen3-Next 80B-A3B Instruct leads

GPT-4o: 24.8 (#328), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

Coding benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
LMArena Coding	1297	1440
SWE-bench Verified	31%	—
SWE-bench Verified (bash only)	21.6%	—
Aider Polyglot	45.3%	—
GSO	0%	—
WeirdML	25.1%	—
BigCodeBench Instruct	51.1%	—
LiveBench Coding	51.4%	—
BigCodeBench Complete	61.1%	—
CadEval	26%	—
HumanEval+	87.2%	—
MBPP+	72.2%	—

Agentic & Tool Use Not comparable

GPT-4o: 21.0 (#141), Qwen3-Next 80B-A3B Instruct: —

Agentic & Tool Use benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
GDPval	9.9%	—
TheAgentCompany	8.6%	—
Cybench	12.5%	—
BALROG	32.3%	—
LMArena Search	1006	—
METR Time Horizons	40.8%	—

Reasoning Qwen3-Next 80B-A3B Instruct leads

GPT-4o: 9.4 (#343), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

Reasoning benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
LMArena Hard Prompts	1281	1428
ARC-AGI-2	0%	—
SimpleBench	17.8%	—
Kagi LLM Benchmark	—	66.7%
ARC-AGI-1	4.5%	—
CritPt	0%	—
Chess Puzzles	13%	—
EnigmaEval	0.8%	—
LiveBench Reasoning	55.8%	—
DTBench	64.5%	—
LiveBench Data Analysis	60.9%	—
LMCA	16.6%	—
Epoch Capabilities Index	128.97	—
ForecastBench	57.7	—
LiveBench	55.3%	—

Math Qwen3-Next 80B-A3B Instruct leads

GPT-4o: 10.6 (#312), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

Math benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
Omni-MATH	29.3%	46.7%
LMArena Math	1285	1440
FrontierMath (Tiers 1-3)	0.4%	—
OTIS Mock AIME 2024-2025	6.4%	—
LiveBench Math	49.5%	—
MATH Level 5	53.3%	—
FrontierMath (Feb 2025 set)	0.3%	—

Knowledge Qwen3-Next 80B-A3B Instruct leads

GPT-4o: 28.8 (#242), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

Knowledge benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
MMLU-Pro	71.3%	78.6%
Vectara Hallucination Rate	9.6%	9.3%
GPQA (HELM)	52%	63%
LMArena Expert	1250	1417
GPQA Diamond	49.2%	—
Humanity's Last Exam	2.7%	—
SimpleQA Verified	26%	—
Confabulations	15.3%	—
MMLU	88.1%	—

Multimodal Not comparable

GPT-4o: 34.5 (#91), Qwen3-Next 80B-A3B Instruct: —

Multimodal benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
LMArena Vision	1137	—
Video-MME	71.9%	—
GeoBench	71%	—
VPCT	40%	—
ScienceQA	88.5%	—

Multilingual Qwen3-Next 80B-A3B Instruct leads

GPT-4o: 43.2 (#186), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

Multilingual benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
LMArena Non-English	1283	1407
LMArena Chinese	1277	1460
LMArena French	1304	1413
LMArena German	1282	1417
LMArena Japanese	1257	1395
LMArena Korean	1234	1364
LMArena Russian	1286	1404
LMArena Spanish	1292	1435

Instruction Following Qwen3-Next 80B-A3B Instruct leads

GPT-4o: 66.6 (#207), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

Instruction Following benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
IFEval	81.7%	81%
LMArena Instruction Following	1278	1389
LiveBench Instruction Following	68.6%	—

Long Context GPT-4o leads

GPT-4o: 39.4 (#179), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

Long Context benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
Fiction.LiveBench	66.7%	55.6%
LMArena Longer Query	1289	1403

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

GPT-4o: 52.6 (#166), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

Writing & Preference benchmarks
Benchmark	GPT-4o	Qwen3-Next 80B-A3B Instruct
LMArena Text	1300	1417
LMArena Creative Writing	1292	1334
WildBench	82.8%	80.7%
LMArena Multi-Turn	1302	1416
Short-Story Creative Writing	81.8%	—
LiveBench Language	47.6%	—

Frequently asked questions

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

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 28.6 on the Noometry Index.

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

Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; GPT-4o lists at $2.50 and $10.

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

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 24.8 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 and Qwen3-Next 80B-A3B Instruct share?

24 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.