Model comparison

Gemini 4 Argon vs Qwen3-Next 80B-A3B Instruct

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 43.0 on the Noometry Index.

Last verified . 13 shared benchmarks.

Gemini 4 Argon Google

56.5

Rank #24 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemini 4 Argon scores higher in 8 categories and Qwen3-Next 80B-A3B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 4 Argon leads 73.9 to 38.8.
  • Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

Side by side

Gemini 4 Argon and Qwen3-Next 80B-A3B Instruct specifications
Gemini 4 ArgonQwen3-Next 80B-A3B Instruct
ProviderGoogleAlibaba (Qwen)
Noometry Index56.543.0
Released2026-09-302025-09
WeightsProprietaryOpen
Context window—131K
Max output—33K
Input $ / M tokens—$0.50
Output $ / M tokens—$2
Results tracked2125

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Category by category

Coding Gemini 4 Argon leads

Gemini 4 Argon: 62.0 (#9), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

Coding benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Coding15501440
LMArena WebDev1678—
FrontierSWE55%—
SciCode61.8%—

Agentic & Tool Use Not comparable

Gemini 4 Argon: 49.2 (#8), Qwen3-Next 80B-A3B Instruct: —

Agentic & Tool Use benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
APEX-Agents82.2%—
Vending-Bench 213,718—

Reasoning Gemini 4 Argon leads

Gemini 4 Argon: 44.2 (#47), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

Reasoning benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Hard Prompts15481428
Kagi LLM Benchmark—66.7%
CritPt27.1%—

Math Gemini 4 Argon leads

Gemini 4 Argon: 73.9 (#17), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

Math benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Math15361440
ProofBench99%—
Omni-MATH—46.7%

Knowledge Gemini 4 Argon leads

Gemini 4 Argon: 43.9 (#89), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

Knowledge benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Expert15531417
MMLU-Pro—78.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—63%

Multimodal Not comparable

Gemini 4 Argon: 46.5 (#14), Qwen3-Next 80B-A3B Instruct: —

Multimodal benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
Blueprint-Bench 254.4%—

Multilingual Gemini 4 Argon leads

Gemini 4 Argon: 60.3 (#1), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

Multilingual benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Non-English15231407
LMArena Chinese16101460
LMArena Russian15371404
LMArena Spanish14971435
LMArena French—1413
LMArena German—1417
LMArena Japanese—1395
LMArena Korean—1364

Instruction Following Gemini 4 Argon leads

Gemini 4 Argon: 80.1 (#2), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

Instruction Following benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Instruction Following15381389
IFEval—81%

Long Context Gemini 4 Argon leads

Gemini 4 Argon: 47.6 (#15), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

Long Context benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Longer Query15491403
Fiction.LiveBench—55.6%

Writing & Preference Gemini 4 Argon leads

Gemini 4 Argon: 71.4 (#19), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

Writing & Preference benchmarks
BenchmarkGemini 4 ArgonQwen3-Next 80B-A3B Instruct
LMArena Text15341417
LMArena Creative Writing15311334
LMArena Multi-Turn15571416
WildBench—80.7%

Frequently asked questions

Is Gemini 4 Argon better than Qwen3-Next 80B-A3B Instruct?

Gemini 4 Argon is the stronger model overall, scoring 56.5 to 43.0 on the Noometry Index.

Is Gemini 4 Argon or Qwen3-Next 80B-A3B Instruct better for coding?

Gemini 4 Argon scores higher on coding benchmarks: 62.0 versus 42.5 in the Noometry coding category.

How many benchmarks do Gemini 4 Argon and Qwen3-Next 80B-A3B Instruct share?

13 benchmarks have published results for both models. Gemini 4 Argon has 21 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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