Model comparison

GPT-5 Pro vs Qwen3-Next 80B-A3B Instruct

GPT-5 Pro is the stronger model overall, scoring 46.2 to 42.5 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 47× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

GPT-5 Pro OpenAI

46.2

Rank #58 Confirmed

Summary

  • They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 41.3.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 66.7% for Qwen3-Next 80B-A3B Instruct.
  • Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • GPT-5 Pro accepts more context: 400K tokens versus 131K.
  • Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-5 Pro and Qwen3-Next 80B-A3B Instruct specifications
GPT-5 ProQwen3-Next 80B-A3B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index46.242.5
Released2025-10-062025-09
WeightsProprietaryOpen
Context window400K131K
Max output272K33K
Input $ / M tokens$15$0.50
Output $ / M tokens$120$2
Results tracked1225

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Category by category

Coding GPT-5 Pro leads

GPT-5 Pro: 43.4 (#77), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

Coding benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
WeirdML60.4%—
LMArena Coding—1441
AlgoTune1.31—

Reasoning GPT-5 Pro leads

GPT-5 Pro: 39.2 (#52), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

Reasoning benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
Kagi LLM Benchmark76.8%66.7%
ARC-AGI-218.3%—
SimpleBench61.6%—
ARC-AGI-170.2%—
EnigmaEval18.8%—
LMArena Hard Prompts—1428
Epoch Capabilities Index150.26—

Math GPT-5 Pro leads

GPT-5 Pro: 48.0 (#53), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

Math benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 419.5%—
Omni-MATH—46.7%
LMArena Math—1440
FrontierMath Tier 4 (v1)14.6%—

Knowledge GPT-5 Pro leads

GPT-5 Pro: 56.2 (#39), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

Knowledge benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
Humanity's Last Exam31.6%—
MMLU-Pro—78.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—63%
LMArena Expert—1416

Multilingual Not comparable

GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

Multilingual benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
LMArena Non-English—1407
LMArena Chinese—1461
LMArena French—1415
LMArena German—1416
LMArena Japanese—1398
LMArena Korean—1366
LMArena Russian—1403
LMArena Spanish—1436

Instruction Following Not comparable

GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

Instruction Following benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
IFEval—81%
LMArena Instruction Following—1388

Long Context Not comparable

GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

Long Context benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
Fiction.LiveBench—55.6%
LMArena Longer Query—1403

Writing & Preference Not comparable

GPT-5 Pro: —, Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

Writing & Preference benchmarks
BenchmarkGPT-5 ProQwen3-Next 80B-A3B Instruct
LMArena Text—1417
LMArena Creative Writing—1333
WildBench—80.7%
LMArena Multi-Turn—1415

Frequently asked questions

Is GPT-5 Pro better than Qwen3-Next 80B-A3B Instruct?

GPT-5 Pro is the stronger model overall, scoring 46.2 to 42.5 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 47× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Which is cheaper, GPT-5 Pro 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-5 Pro lists at $15 and $120.

Is GPT-5 Pro or Qwen3-Next 80B-A3B Instruct better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 41.9 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 131K.

How many benchmarks do GPT-5 Pro and Qwen3-Next 80B-A3B Instruct share?

1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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