Model comparison

DeepSeek-V3.1 vs Hunyuan Vision 1.5

DeepSeek-V3.1 and Hunyuan Vision 1.5 score almost the same on the Noometry Index (42.8 vs 43.1), so choose on price, context window or the category you care about most.

Last verified . 8 shared benchmarks.

DeepSeek-V3.1 DeepSeek

42.8

Rank #108 Confirmed

Hunyuan Vision 1.5 Tencent

43.1

Rank #98 Confirmed

Summary

  • They share 8 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 3 categories and Hunyuan Vision 1.5 in 3 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Hunyuan Vision 1.5 leads 42.9 to 36.3.
  • DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Hunyuan Vision 1.5 specifications
DeepSeek-V3.1Hunyuan Vision 1.5
ProviderDeepSeekTencent
Noometry Index42.843.1
Released2025-08-21—
WeightsOpenProprietary
Context window164K—
Max output8K—
Input $ / M tokens$0.25—
Output $ / M tokens$0.95—
Results tracked279

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Category by category

Coding Hunyuan Vision 1.5 leads

DeepSeek-V3.1: 40.3 (#144), Hunyuan Vision 1.5: 41.8 (#119)

Coding benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Coding14171418
WeirdML38.4%—

Reasoning Hunyuan Vision 1.5 leads

DeepSeek-V3.1: 27.9 (#110), Hunyuan Vision 1.5: 28.9 (#97)

Reasoning benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Hard Prompts14171416
SimpleBench40%—
Kagi LLM Benchmark53.2%—
DTBench82.7%—
LMCA24.3%—
Epoch Capabilities Index139.92—
ForecastBench58—

Math Not comparable

DeepSeek-V3.1: 38.9 (#122), Hunyuan Vision 1.5: —

Math benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Math1420—

Knowledge Not comparable

DeepSeek-V3.1: 43.7 (#90), Hunyuan Vision 1.5: —

Knowledge benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
Vectara Hallucination Rate5.5%—
LMArena Expert1405—

Multimodal Not comparable

DeepSeek-V3.1: —, Hunyuan Vision 1.5: 35.7 (#84)

Multimodal benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Vision—1180

Multilingual DeepSeek-V3.1 leads

DeepSeek-V3.1: 51.6 (#106), Hunyuan Vision 1.5: 50.3 (#125)

Multilingual benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Non-English14001382
LMArena Chinese1469—
LMArena French1447—
LMArena German1411—
LMArena Japanese1378—
LMArena Korean1337—
LMArena Russian1405—
LMArena Spanish1431—

Instruction Following Too close to call

DeepSeek-V3.1: 73.9 (#110), Hunyuan Vision 1.5: 73.7 (#117)

Instruction Following benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Instruction Following14001397

Long Context Hunyuan Vision 1.5 leads

DeepSeek-V3.1: 36.3 (#232), Hunyuan Vision 1.5: 42.9 (#115)

Long Context benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Longer Query14221404
Fiction.LiveBench52.8%—

Writing & Preference Too close to call

DeepSeek-V3.1: 60.3 (#98), Hunyuan Vision 1.5: 60.1 (#100)

Writing & Preference benchmarks
BenchmarkDeepSeek-V3.1Hunyuan Vision 1.5
LMArena Text14201405
LMArena Creative Writing14011388
LMArena Multi-Turn14081422
EQ-Bench Creative Writing1436—

Frequently asked questions

Is DeepSeek-V3.1 better than Hunyuan Vision 1.5?

DeepSeek-V3.1 and Hunyuan Vision 1.5 score almost the same on the Noometry Index (42.8 vs 43.1), so choose on price, context window or the category you care about most.

Is DeepSeek-V3.1 or Hunyuan Vision 1.5 better for coding?

Hunyuan Vision 1.5 scores higher on coding benchmarks: 41.8 versus 40.3 in the Noometry coding category.

How many benchmarks do DeepSeek-V3.1 and Hunyuan Vision 1.5 share?

8 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Hunyuan Vision 1.5 has 9.

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