Model comparison

Hunyuan Turbo 0110 vs Mistral Large

Hunyuan Turbo 0110 is the stronger model overall, scoring 39.6 to 31.9 on the Noometry Index.

Last verified . 11 shared benchmarks.

Hunyuan Turbo 0110 Tencent

39.6

Rank #163 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Hunyuan Turbo 0110 scores higher in 6 categories and Mistral Large in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Hunyuan Turbo 0110 leads 35.6 to 18.2.
  • Mistral Large has downloadable open weights; the other is API-only.

Side by side

Hunyuan Turbo 0110 and Mistral Large specifications
Hunyuan Turbo 0110Mistral Large
ProviderTencentMistral AI
Noometry Index39.631.9
Released—2024-02-26
WeightsProprietaryOpen
Context window—131K
Max output—16K
Input $ / M tokens—$2
Output $ / M tokens—$6
Results tracked1151

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Category by category

Coding Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 38.6 (#171), Mistral Large: 34.3 (#240)

Coding benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Coding13191277
SciCode—36.2%
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
ALE-Bench—264.7
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Not comparable

Hunyuan Turbo 0110: —, Mistral Large: 28.6 (#89)

Agentic & Tool Use benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
Berkeley Function Calling Leaderboard—38.4%

Reasoning Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 26.1 (#137), Mistral Large: 15.8 (#310)

Reasoning benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Hard Prompts13081257
SimpleBench—22.5%
CritPt—0%
LiveBench Reasoning—43.5%
DTBench—65.1%
LiveBench Data Analysis—50.1%
LMCA—16.7%
Epoch Capabilities Index—128.52
ForecastBench—57.1
LiveBench—48.4%

Math Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 35.6 (#180), Mistral Large: 18.2 (#291)

Math benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Math12731262
OTIS Mock AIME 2024-2025—8.5%
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath (Feb 2025 set)—0.3%

Knowledge Not comparable

Hunyuan Turbo 0110: —, Mistral Large: 30.1 (#230)

Knowledge benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
GPQA Diamond—51.3%
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%
LMArena Expert—1232
MMLU—80%

Multilingual Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 43.3 (#184), Mistral Large: 40.0 (#219)

Multilingual benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Non-English12851237
LMArena Chinese13581240
LMArena Russian13051257
LMArena French—1325
LMArena German—1254
LMArena Japanese—1188
LMArena Korean—1202
LMArena Spanish—1268

Instruction Following Too close to call

Hunyuan Turbo 0110: 67.4 (#195), Mistral Large: 67.9 (#191)

Instruction Following benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Instruction Following12781249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 39.8 (#168), Mistral Large: 38.3 (#199)

Long Context benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Longer Query13091261

Writing & Preference Hunyuan Turbo 0110 leads

Hunyuan Turbo 0110: 50.2 (#183), Mistral Large: 40.7 (#242)

Writing & Preference benchmarks
BenchmarkHunyuan Turbo 0110Mistral Large
LMArena Text13111266
LMArena Creative Writing12691243
LMArena Multi-Turn13031260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Hunyuan Turbo 0110 better than Mistral Large?

Hunyuan Turbo 0110 is the stronger model overall, scoring 39.6 to 31.9 on the Noometry Index.

Is Hunyuan Turbo 0110 or Mistral Large better for coding?

Hunyuan Turbo 0110 scores higher on coding benchmarks: 38.6 versus 34.3 in the Noometry coding category.

How many benchmarks do Hunyuan Turbo 0110 and Mistral Large share?

11 benchmarks have published results for both models. Hunyuan Turbo 0110 has 11 scored results on Noometry and Mistral Large has 51.

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