Model comparison

Amazon Nova Pro vs Hunyuan Large Vision

Hunyuan Large Vision is the stronger model overall, scoring 37.6 to 31.0 on the Noometry Index.

Last verified . 13 shared benchmarks.

Amazon Nova Pro Amazon

31.0

Rank #281 Confirmed

Hunyuan Large Vision Tencent

37.6

Rank #202 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Amazon Nova Pro scores higher in 0 categories and Hunyuan Large Vision in 9 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in multimodal, where Hunyuan Large Vision leads 35.7 to 25.0.

Side by side

Amazon Nova Pro and Hunyuan Large Vision specifications
Amazon Nova ProHunyuan Large Vision
ProviderAmazonTencent
Noometry Index31.037.6
Released2024-12-03—
WeightsProprietaryProprietary
Context window300K—
Max output10K—
Input $ / M tokens$0.80—
Output $ / M tokens$3.20—
Results tracked3813

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Category by category

Coding Hunyuan Large Vision leads

Amazon Nova Pro: 35.1 (#229), Hunyuan Large Vision: 38.3 (#180)

Coding benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Coding12701308
LiveBench Coding38.1%—

Agentic & Tool Use Not comparable

Amazon Nova Pro: 16.7 (#147), Hunyuan Large Vision: —

Agentic & Tool Use benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
Berkeley Function Calling Leaderboard25%—
TheAgentCompany1.7%—

Reasoning Hunyuan Large Vision leads

Amazon Nova Pro: 20.0 (#243), Hunyuan Large Vision: 24.8 (#158)

Reasoning benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Hard Prompts12461257
LiveBench Reasoning32.6%—
LiveBench Data Analysis48.3%—
Epoch Capabilities Index123.8—
LiveBench43.5%—

Math Hunyuan Large Vision leads

Amazon Nova Pro: 28.5 (#243), Hunyuan Large Vision: 35.5 (#183)

Math benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Math12521268
Omni-MATH24.2%—
LiveBench Math38%—

Knowledge Hunyuan Large Vision leads

Amazon Nova Pro: 27.4 (#250), Hunyuan Large Vision: 34.4 (#196)

Knowledge benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Expert12111252
Humanity's Last Exam4.4%—
MMLU-Pro67.3%—
Confabulations30.1%—
Vectara Hallucination Rate5.1%—
GPQA (HELM)44.6%—
MMLU82%—

Multimodal Hunyuan Large Vision leads

Amazon Nova Pro: 25.0 (#126), Hunyuan Large Vision: 35.7 (#83)

Multimodal benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Vision9801180

Multilingual Too close to call

Amazon Nova Pro: 39.7 (#223), Hunyuan Large Vision: 39.9 (#221)

Multilingual benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Non-English12341236
LMArena Chinese12441287
LMArena Russian12401243
LMArena French1271—
LMArena German1243—
LMArena Japanese1200—
LMArena Korean1203—
LMArena Spanish1182—

Instruction Following Too close to call

Amazon Nova Pro: 64.9 (#226), Hunyuan Large Vision: 65.8 (#215)

Instruction Following benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Instruction Following12351251
LiveBench Instruction Following67.1%—
IFEval81.5%—

Long Context Too close to call

Amazon Nova Pro: 38.1 (#205), Hunyuan Large Vision: 38.9 (#189)

Long Context benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Longer Query12551280

Writing & Preference Hunyuan Large Vision leads

Amazon Nova Pro: 43.9 (#226), Hunyuan Large Vision: 46.5 (#218)

Writing & Preference benchmarks
BenchmarkAmazon Nova ProHunyuan Large Vision
LMArena Text12591263
LMArena Creative Writing12121248
LMArena Multi-Turn12461254
Short-Story Creative Writing60.5%—
WildBench77.7%—
LiveBench Language37%—

Frequently asked questions

Is Amazon Nova Pro better than Hunyuan Large Vision?

Hunyuan Large Vision is the stronger model overall, scoring 37.6 to 31.0 on the Noometry Index.

Is Amazon Nova Pro or Hunyuan Large Vision better for coding?

Hunyuan Large Vision scores higher on coding benchmarks: 38.3 versus 35.1 in the Noometry coding category.

How many benchmarks do Amazon Nova Pro and Hunyuan Large Vision share?

13 benchmarks have published results for both models. Amazon Nova Pro has 38 scored results on Noometry and Hunyuan Large Vision has 13.

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