Model comparison

Granite 4.2 8B vs Mixtral 8x22B

Granite 4.2 8B is the stronger model overall, scoring 40.5 to 27.1 on the Noometry Index.

Last verified . 11 shared benchmarks.

Granite 4.2 8B IBM

40.5

Rank #148 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Granite 4.2 8B scores higher in 7 categories and Mixtral 8x22B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Granite 4.2 8B leads 38.4 to 15.1.
  • Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Granite 4.2 8B accepts more context: 131K tokens versus 64K.

Side by side

Granite 4.2 8B and Mixtral 8x22B specifications
Granite 4.2 8BMixtral 8x22B
ProviderIBMMistral AI
Noometry Index40.527.1
Released—2024-04-17
WeightsOpenOpen
Context window131K64K
Max output118K64K
Input $ / M tokens$0.06$2
Output $ / M tokens$0.25$6
Results tracked1134

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Category by category

Coding Granite 4.2 8B leads

Granite 4.2 8B: 40.5 (#137), Mixtral 8x22B: 24.2 (#329)

Coding benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Coding13801166
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Granite 4.2 8B: —, Mixtral 8x22B: 23.1 (#127)

Agentic & Tool Use benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
Cybench—7.5%

Reasoning Granite 4.2 8B leads

Granite 4.2 8B: 26.6 (#131), Mixtral 8x22B: 19.9 (#248)

Reasoning benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Hard Prompts13291150
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math Not comparable

Granite 4.2 8B: —, Mixtral 8x22B: 22.9 (#275)

Math benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
Omni-MATH—16.3%
LMArena Math—1184
MATH Level 5—24.2%

Knowledge Granite 4.2 8B leads

Granite 4.2 8B: 38.4 (#145), Mixtral 8x22B: 15.1 (#293)

Knowledge benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Expert13841113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual Granite 4.2 8B leads

Granite 4.2 8B: 44.5 (#178), Mixtral 8x22B: 32.8 (#255)

Multilingual benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Non-English13021128
LMArena Chinese13661116
LMArena Russian12851158
LMArena French—1166
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1057
LMArena Spanish—1151

Instruction Following Granite 4.2 8B leads

Granite 4.2 8B: 68.7 (#184), Mixtral 8x22B: 57.7 (#266)

Instruction Following benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Instruction Following13011147
IFEval—72.4%

Long Context Granite 4.2 8B leads

Granite 4.2 8B: 40.3 (#159), Mixtral 8x22B: 34.7 (#247)

Long Context benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Longer Query13241144

Writing & Preference Granite 4.2 8B leads

Granite 4.2 8B: 49.6 (#189), Mixtral 8x22B: 36.9 (#262)

Writing & Preference benchmarks
BenchmarkGranite 4.2 8BMixtral 8x22B
LMArena Text13201162
LMArena Creative Writing12361141
LMArena Multi-Turn13011130
WildBench—71.1%

Frequently asked questions

Is Granite 4.2 8B better than Mixtral 8x22B?

Granite 4.2 8B is the stronger model overall, scoring 40.5 to 27.1 on the Noometry Index.

Which is cheaper, Granite 4.2 8B or Mixtral 8x22B?

Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Granite 4.2 8B or Mixtral 8x22B better for coding?

Granite 4.2 8B scores higher on coding benchmarks: 40.5 versus 24.2 in the Noometry coding category.

Which has the bigger context window?

Granite 4.2 8B does, with 131K tokens against 64K.

How many benchmarks do Granite 4.2 8B and Mixtral 8x22B share?

11 benchmarks have published results for both models. Granite 4.2 8B has 11 scored results on Noometry and Mixtral 8x22B has 34.

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