Model comparison

Hy3 vs Mistral 7B

Hy3 is the stronger model overall, scoring 43.6 to 22.9 on the Noometry Index.

Last verified . 14 shared benchmarks.

Hy3 Tencent

43.6

Rank #79 Confirmed

Mistral 7B Mistral AI

22.9

Rank #346 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Hy3 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Hy3 leads 40.2 to 7.3.
  • Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
  • Hy3 accepts more context: 262K tokens versus 8K.

Side by side

Hy3 and Mistral 7B specifications
Hy3Mistral 7B
ProviderTencentMistral AI
Noometry Index43.622.9
Released2026-07-062023-09-27
WeightsOpenOpen
Context window262K8K
Max output128K8K
Input $ / M tokens$0.13$0.25
Output $ / M tokens$0.53$0.25
Results tracked1737

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Category by category

Coding Hy3 leads

Hy3: 46.6 (#60), Mistral 7B: 25.9 (#321)

Coding benchmarks
BenchmarkHy3Mistral 7B
LMArena Coding14651082
LMArena WebDev1509—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
HumanEval+—36%
MBPP+—42.1%

Reasoning Hy3 leads

Hy3: 25.0 (#134), Mistral 7B: 12.6 (#331)

Reasoning benchmarks
BenchmarkHy3Mistral 7B
LMArena Hard Prompts14491067
NYT Connections (extended)41.2%—
Chess Puzzles—0%
DTBench—42.5%
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
Epoch Capabilities Index—111.97
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math Hy3 leads

Hy3: 37.4 (#98), Mistral 7B: 7.6 (#319)

Math benchmarks
BenchmarkHy3Mistral 7B
LMArena Math14751085
OTIS Mock AIME 2024-2025—0.3%
MATH Level 5—3.7%
GSM8K—54.4%

Knowledge Hy3 leads

Hy3: 40.2 (#108), Mistral 7B: 7.3 (#306)

Knowledge benchmarks
BenchmarkHy3Mistral 7B
LMArena Expert14611036
GPQA Diamond—15.2%
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multilingual Hy3 leads

Hy3: 53.7 (#60), Mistral 7B: 26.0 (#278)

Multilingual benchmarks
BenchmarkHy3Mistral 7B
LMArena Non-English14271012
LMArena Chinese14961009
LMArena French14611036
LMArena Russian14351018
LMArena Spanish14481026
LMArena German—987
LMArena Japanese—878
LMArena Korean1390—

Instruction Following Hy3 leads

Hy3: 75.3 (#68), Mistral 7B: 54.5 (#275)

Instruction Following benchmarks
BenchmarkHy3Mistral 7B
LMArena Instruction Following14251060

Long Context Hy3 leads

Hy3: 44.1 (#70), Mistral 7B: 32.2 (#266)

Long Context benchmarks
BenchmarkHy3Mistral 7B
LMArena Longer Query14431060

Writing & Preference Hy3 leads

Hy3: 62.5 (#75), Mistral 7B: 30.9 (#281)

Writing & Preference benchmarks
BenchmarkHy3Mistral 7B
LMArena Text14421090
LMArena Creative Writing13991068
LMArena Multi-Turn14361062

Frequently asked questions

Is Hy3 better than Mistral 7B?

Hy3 is the stronger model overall, scoring 43.6 to 22.9 on the Noometry Index.

Which is cheaper, Hy3 or Mistral 7B?

Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; Mistral 7B lists at $0.25 and $0.25.

Is Hy3 or Mistral 7B better for coding?

Hy3 scores higher on coding benchmarks: 46.6 versus 25.9 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 8K.

How many benchmarks do Hy3 and Mistral 7B share?

14 benchmarks have published results for both models. Hy3 has 17 scored results on Noometry and Mistral 7B has 37.

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