Noometry

Model comparison

Gemini 2.5 Pro vs Qwen3-Next 80B-A3B Instruct

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.0 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 3.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Last verified . 25 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

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

43.0

Rank #102 Confirmed

Summary

  • They share 25 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 5 categories and Qwen3-Next 80B-A3B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Gemini 2.5 Pro leads 59.8 to 37.0.
  • The biggest single-benchmark swing is Fiction.LiveBench: 91.7% for Gemini 2.5 Pro and 55.6% for Qwen3-Next 80B-A3B Instruct.
  • Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
  • Gemini 2.5 Pro accepts more context: 1.05M tokens versus 131K.
  • Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProQwen3-Next 80B-A3B Instruct
ProviderGoogleAlibaba (Qwen)
Noometry Index45.043.0
Released2025-03-252025-09
WeightsProprietaryOpen
Context window1.05M131K
Max output66K33K
Input $ / M tokens$1.25$0.50
Output $ / M tokens$10$2
Results tracked7825

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Category by category

Coding Too close to call

Gemini 2.5 Pro: 42.4 (#101), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
LMArena Coding14521440
SWE-bench Verified57.6%—
SWE-bench Verified (bash only)53.6%—
Aider Polyglot83.1%—
LMArena WebDev1227—
SciCode42.8%—
GSO3.9%—
WeirdML54%—
LiveBench Coding85.9%—
CadEval64%—
ALE-Bench785.52—
AlgoTune1.51—

Agentic & Tool Use Not comparable

Gemini 2.5 Pro: 29.2 (#88), Qwen3-Next 80B-A3B Instruct: —

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
Terminal-Bench32.6%—
GDPval23.3%—
Remote Labor Index0.8%—
TheAgentCompany30.3%—
τ²-bench Banking13.7%—
DeepResearch Bench42.8%—
BALROG43.3%—
LMArena Search1142—
METR Time Horizons55.4%—
Vending-Bench 2573.64—

Reasoning Qwen3-Next 80B-A3B Instruct leads

Gemini 2.5 Pro: 28.8 (#99), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
Kagi LLM Benchmark70.3%66.7%
LMArena Hard Prompts14551428
ARC-AGI-24.9%—
SimpleBench62.4%—
ARC-AGI-141%—
CritPt2%—
Chess Puzzles20%—
EnigmaEval5.6%—
LiveBench Reasoning89.8%—
DTBench82.4%—
LiveBench Data Analysis79.9%—
LMCA34.8%—
Epoch Capabilities Index145.32—
ForecastBench61.3—
LiveBench82.3%—

Math Qwen3-Next 80B-A3B Instruct leads

Gemini 2.5 Pro: 32.5 (#213), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
Omni-MATH41.6%46.7%
LMArena Math14501440
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
LiveBench Math90.2%—
MATH Level 595.9%—
FrontierMath (Feb 2025 set)14.1%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Gemini 2.5 Pro leads

Gemini 2.5 Pro: 56.0 (#46), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
MMLU-Pro86.3%78.6%
Vectara Hallucination Rate7%9.3%
GPQA (HELM)74.9%63%
LMArena Expert14521417
GPQA Diamond85.3%—
Humanity's Last Exam21.6%—
Confabulations10.6%—

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), Qwen3-Next 80B-A3B Instruct: —

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
LMArena Non-English14511407
LMArena Chinese15071460
LMArena French14721413
LMArena German14871417
LMArena Japanese14611395
LMArena Korean14341364
LMArena Russian14611404
LMArena Spanish14731435

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
IFEval84%81%
LMArena Instruction Following14371389
LiveBench Instruction Following80.6%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
Fiction.LiveBench91.7%55.6%
LMArena Longer Query14491403

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)

BenchmarkGemini 2.5 ProQwen3-Next 80B-A3B Instruct
LMArena Text14581417
LMArena Creative Writing14541334
WildBench85.7%80.7%
LMArena Multi-Turn14531416
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Qwen3-Next 80B-A3B Instruct?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.0 on the Noometry Index. Qwen3-Next 80B-A3B Instruct costs 3.9× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemini 2.5 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; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Qwen3-Next 80B-A3B Instruct better for coding?

They score almost the same on coding (42.4 vs 42.5); test both on your own repository before choosing.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 2.5 Pro and Qwen3-Next 80B-A3B Instruct share?

25 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

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