Model comparison

Hunyuan Turbo 0110 vs Kimi K2 (Jul 2025)

Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 39.0 on the Noometry Index.

Last verified . 11 shared benchmarks.

Hunyuan Turbo 0110 Tencent

39.0

Rank #165 Confirmed

Kimi K2 (Jul 2025) Moonshot AI

40.9

Rank #134 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Hunyuan Turbo 0110 scores higher in 1 category and Kimi K2 (Jul 2025) in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.5 to 50.4.
  • Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.

Side by side

Hunyuan Turbo 0110 and Kimi K2 (Jul 2025) specifications
Hunyuan Turbo 0110Kimi K2 (Jul 2025)
ProviderTencentMoonshot AI
Noometry Index39.040.9
Released—2025-07-12
WeightsProprietaryOpen
Context window—262K
Max output—262K
Input $ / M tokens—$0.57
Output $ / M tokens—$2.30
Results tracked1142

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Category by category

Coding Kimi K2 (Jul 2025) leads

Hunyuan Turbo 0110: 38.0 (#168), Kimi K2 (Jul 2025): 43.1 (#83)

Coding benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Coding13201399
SWE-bench Verified (bash only)—63.4%
Aider Polyglot—59.1%
GSO—4.9%
WeirdML—42.8%
ALE-Bench—597.5

Agentic & Tool Use Not comparable

Hunyuan Turbo 0110: —, Kimi K2 (Jul 2025): 32.2 (#59)

Agentic & Tool Use benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
Terminal-Bench—35.7%
Berkeley Function Calling Leaderboard—59.1%
METR Time Horizons—59.2%

Reasoning Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 25.0 (#135), Kimi K2 (Jul 2025): 22.7 (#173)

Reasoning benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Hard Prompts13081384
SimpleBench—26.3%
Kagi LLM Benchmark—64.4%
Epoch Capabilities Index—146.02
ForecastBench—60.2

Math Kimi K2 (Jul 2025) leads

Hunyuan Turbo 0110: 32.9 (#180), Kimi K2 (Jul 2025): 40.1 (#81)

Math benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Math12731396
Omni-MATH—65.4%
FrontierMath (Feb 2025 set)—21.4%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

Hunyuan Turbo 0110: —, Kimi K2 (Jul 2025): 36.9 (#153)

Knowledge benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
MMLU-Pro—81.9%
Confabulations—20.4%
Vectara Hallucination Rate—17.9%
GPQA (HELM)—65.3%
LMArena Expert—1363

Multilingual Kimi K2 (Jul 2025) leads

Hunyuan Turbo 0110: 43.5 (#178), Kimi K2 (Jul 2025): 49.8 (#125)

Multilingual benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Non-English12851372
LMArena Chinese13581416
LMArena Russian13051384
LMArena French—1379
LMArena German—1386
LMArena Japanese—1349
LMArena Korean—1324
LMArena Spanish—1383

Instruction Following Kimi K2 (Jul 2025) leads

Hunyuan Turbo 0110: 67.7 (#190), Kimi K2 (Jul 2025): 71.3 (#151)

Instruction Following benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Instruction Following12791347
IFEval—85%

Long Context Kimi K2 (Jul 2025) leads

Hunyuan Turbo 0110: 39.8 (#163), Kimi K2 (Jul 2025): 41.2 (#140)

Long Context benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Longer Query13091353
Fiction.LiveBench—66.7%
CL-bench—17.6%

Writing & Preference Kimi K2 (Jul 2025) leads

Hunyuan Turbo 0110: 50.4 (#176), Kimi K2 (Jul 2025): 62.5 (#76)

Writing & Preference benchmarks
BenchmarkHunyuan Turbo 0110Kimi K2 (Jul 2025)
LMArena Text13111380
LMArena Creative Writing12691349
LMArena Multi-Turn13031371
Short-Story Creative Writing—85.6%
EQ-Bench Creative Writing—1666
WildBench—86.2%

Frequently asked questions

Is Hunyuan Turbo 0110 better than Kimi K2 (Jul 2025)?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 40.9 to 39.0 on the Noometry Index.

Is Hunyuan Turbo 0110 or Kimi K2 (Jul 2025) better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 43.1 versus 38.0 in the Noometry coding category.

How many benchmarks do Hunyuan Turbo 0110 and Kimi K2 (Jul 2025) share?

11 benchmarks have published results for both models. Hunyuan Turbo 0110 has 11 scored results on Noometry and Kimi K2 (Jul 2025) has 42.

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