Model comparison

Hy3 vs Mixtral 8x22B

Hy3 is the stronger model overall, scoring 44.2 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Hy3 Tencent

44.2

Rank #79 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Hy3 scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Hy3 leads 40.8 to 15.1.
  • Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Hy3 accepts more context: 262K tokens versus 64K.

Side by side

Hy3 and Mixtral 8x22B specifications
Hy3Mixtral 8x22B
ProviderTencentMistral AI
Noometry Index44.227.1
Released2026-07-062024-04-17
WeightsOpenOpen
Context window262K64K
Max output128K64K
Input $ / M tokens$0.13$2
Output $ / M tokens$0.53$6
Results tracked1934

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Category by category

Coding Hy3 leads

Hy3: 46.8 (#63), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Coding14641166
LMArena WebDev1508—
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Hy3: —, Mixtral 8x22B: 23.1 (#127)

Agentic & Tool Use benchmarks
BenchmarkHy3Mixtral 8x22B
Cybench—7.5%

Reasoning Hy3 leads

Hy3: 26.1 (#136), Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Hard Prompts14471150
NYT Connections (extended)41.2%—
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math Hy3 leads

Hy3: 40.1 (#93), Mixtral 8x22B: 22.9 (#275)

Math benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Math14751184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge Hy3 leads

Hy3: 40.8 (#114), Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Expert14601113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual Hy3 leads

Hy3: 53.5 (#65), Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Non-English14261128
LMArena Chinese14931116
LMArena French14611166
LMArena German14391141
LMArena Japanese13921037
LMArena Korean13951057
LMArena Russian14321158
LMArena Spanish14561151

Instruction Following Hy3 leads

Hy3: 75.1 (#70), Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Instruction Following14261147
IFEval—72.4%

Long Context Hy3 leads

Hy3: 44.1 (#75), Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Longer Query14421144

Writing & Preference Hy3 leads

Hy3: 62.2 (#81), Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
BenchmarkHy3Mixtral 8x22B
LMArena Text14391162
LMArena Creative Writing14021141
LMArena Multi-Turn14361130
WildBench—71.1%

Frequently asked questions

Is Hy3 better than Mixtral 8x22B?

Hy3 is the stronger model overall, scoring 44.2 to 27.1 on the Noometry Index.

Which is cheaper, Hy3 or Mixtral 8x22B?

Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Hy3 or Mixtral 8x22B better for coding?

Hy3 scores higher on coding benchmarks: 46.8 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Hy3 does, with 262K tokens against 64K.

How many benchmarks do Hy3 and Mixtral 8x22B share?

17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Mixtral 8x22B has 34.

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