Noometry

Model comparison

Gemini 2.5 Pro vs Qwen3-Coder 480B-A35B Instruct

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.1 on the Noometry Index.

Last verified . 25 shared benchmarks.

Gemini 2.5 Pro Google

45.0

Rank #75 Confirmed

Qwen3-Coder 480B-A35B Instruct Alibaba (Qwen)

38.1

Rank #190 Confirmed

Summary

  • They share 25 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Gemini 2.5 Pro leads 56.0 to 37.0.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for Gemini 2.5 Pro and 49.5% for Qwen3-Coder 480B-A35B Instruct.
  • Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 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 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 ProQwen3-Coder 480B-A35B Instruct
ProviderGoogleAlibaba (Qwen)
Noometry Index45.038.1
Released2025-03-252025-04
WeightsProprietaryOpen
Context window1.05M262K
Max output66K66K
Input $ / M tokens$1.25$1.50
Output $ / M tokens$10$7.50
Results tracked7825

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Category by category

Coding Gemini 2.5 Pro leads

Gemini 2.5 Pro: 42.4 (#101), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
SWE-bench Verified (bash only)53.6%55.4%
LMArena WebDev12271275
GSO3.9%4.9%
WeirdML54%41.2%
LMArena Coding14521412
ALE-Bench785.52461.45
AlgoTune1.511.44
SWE-bench Verified57.6%—
Aider Polyglot83.1%—
SciCode42.8%—
LiveBench Coding85.9%—
CadEval64%—

Agentic & Tool Use Gemini 2.5 Pro leads

Gemini 2.5 Pro: 29.2 (#88), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
Terminal-Bench32.6%27.2%
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 Gemini 2.5 Pro leads

Gemini 2.5 Pro: 28.8 (#99), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
Kagi LLM Benchmark70.3%49.5%
LMArena Hard Prompts14551372
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-Coder 480B-A35B Instruct leads

Gemini 2.5 Pro: 32.5 (#213), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Math14501365
FrontierMath (Tiers 1-3)24.6%—
FrontierMath Tier 40%—
OTIS Mock AIME 2024-202584.7%—
Omni-MATH41.6%—
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-Coder 480B-A35B Instruct: 37.0 (#162)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Expert14521338
GPQA Diamond85.3%—
Humanity's Last Exam21.6%—
MMLU-Pro86.3%—
Confabulations10.6%—
Vectara Hallucination Rate7%—
GPQA (HELM)74.9%—

Multimodal Not comparable

Gemini 2.5 Pro: 45.2 (#18), Qwen3-Coder 480B-A35B Instruct: —

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Vision1263—
GeoBench86%—
VPCT48%—
LMArena Document1421—
SpatialViz-Bench44.7%—

Multilingual Gemini 2.5 Pro leads

Gemini 2.5 Pro: 55.3 (#31), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Non-English14511346
LMArena Chinese15071357
LMArena French14721398
LMArena German14871325
LMArena Japanese14611310
LMArena Korean14341305
LMArena Russian14611366
LMArena Spanish14731360

Instruction Following Gemini 2.5 Pro leads

Gemini 2.5 Pro: 75.0 (#75), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Instruction Following14371355
LiveBench Instruction Following80.6%—
IFEval84%—

Long Context Gemini 2.5 Pro leads

Gemini 2.5 Pro: 59.8 (#5), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Longer Query14491378
Fiction.LiveBench91.7%—

Writing & Preference Gemini 2.5 Pro leads

Gemini 2.5 Pro: 63.7 (#62), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

BenchmarkGemini 2.5 ProQwen3-Coder 480B-A35B Instruct
LMArena Text14581357
LMArena Creative Writing14541333
LMArena Multi-Turn14531365
Short-Story Creative Writing83.8%—
EQ-Bench Creative Writing1421—
WildBench85.7%—
LiveBench Language67.8%—

Frequently asked questions

Is Gemini 2.5 Pro better than Qwen3-Coder 480B-A35B Instruct?

Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 38.1 on the Noometry Index.

Which is cheaper, Gemini 2.5 Pro or Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

Is Gemini 2.5 Pro or Qwen3-Coder 480B-A35B Instruct better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.4 versus 35.5 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 2.5 Pro and Qwen3-Coder 480B-A35B Instruct share?

25 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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