Noometry

Model comparison

Hy3 vs Mistral Large

Hy3 is the stronger model overall, scoring 44.2 to 31.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Hy3 Tencent

44.2

Rank #79 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Hy3 scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Hy3 leads 40.1 to 18.2.
  • Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $2 / $6 for Mistral Large.
  • Hy3 accepts more context: 262K tokens versus 131K.

Side by side

Hy3Mistral Large
ProviderTencentMistral AI
Noometry Index44.231.9
Released2026-07-062024-02-26
WeightsOpenOpen
Context window262K131K
Max output128K16K
Input $ / M tokens$0.13$2
Output $ / M tokens$0.53$6
Results tracked1951

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Category by category

Coding Hy3 leads

Hy3: 46.8 (#63), Mistral Large: 34.3 (#240)

BenchmarkHy3Mistral Large
LMArena Coding14641277
LMArena WebDev1508—
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

Hy3: —, Mistral Large: 28.6 (#89)

BenchmarkHy3Mistral Large
Berkeley Function Calling Leaderboard—38.4%

Reasoning Hy3 leads

Hy3: 26.1 (#136), Mistral Large: 15.8 (#310)

BenchmarkHy3Mistral Large
LMArena Hard Prompts14471257
SimpleBench—22.5%
NYT Connections (extended)41.2%—
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 Hy3 leads

Hy3: 40.1 (#93), Mistral Large: 18.2 (#291)

BenchmarkHy3Mistral Large
LMArena Math14751262
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 Hy3 leads

Hy3: 40.8 (#114), Mistral Large: 30.1 (#230)

BenchmarkHy3Mistral Large
LMArena Expert14601232
GPQA Diamond—51.3%
MMLU-Pro—59.9%
Confabulations—21.4%
Vectara Hallucination Rate—4.5%
GPQA (HELM)—43.5%
MMLU—80%

Multilingual Hy3 leads

Hy3: 53.5 (#65), Mistral Large: 40.0 (#219)

BenchmarkHy3Mistral Large
LMArena Non-English14261237
LMArena Chinese14931240
LMArena French14611325
LMArena German14391254
LMArena Japanese13921188
LMArena Korean13951202
LMArena Russian14321257
LMArena Spanish14561268

Instruction Following Hy3 leads

Hy3: 75.1 (#70), Mistral Large: 67.9 (#191)

BenchmarkHy3Mistral Large
LMArena Instruction Following14261249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context Hy3 leads

Hy3: 44.1 (#75), Mistral Large: 38.3 (#199)

BenchmarkHy3Mistral Large
LMArena Longer Query14421261

Writing & Preference Hy3 leads

Hy3: 62.2 (#81), Mistral Large: 40.7 (#242)

BenchmarkHy3Mistral Large
LMArena Text14391266
LMArena Creative Writing14021243
LMArena Multi-Turn14361260
Short-Story Creative Writing—69%
EQ-Bench Creative Writing—985
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is Hy3 better than Mistral Large?

Hy3 is the stronger model overall, scoring 44.2 to 31.9 on the Noometry Index.

Which is cheaper, Hy3 or Mistral Large?

Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; Mistral Large lists at $2 and $6.

Is Hy3 or Mistral Large better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 131K.

How many benchmarks do Hy3 and Mistral Large share?

17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Mistral Large has 51.

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