Noometry

Model comparison

Mercury 2 vs Mixtral 8x22B

Mercury 2 is the stronger model overall, scoring 38.8 to 26.7 on the Noometry Index.

Last verified . 12 shared benchmarks.

Mercury 2 Inception

38.8

Rank #167 Confirmed

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Mercury 2 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 Mercury 2 leads 35.6 to 15.1.
  • The biggest single-benchmark swing is WeirdML: 43.2% for Mercury 2 and 3.2% for Mixtral 8x22B.
  • Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Mercury 2 accepts more context: 128K tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Mercury 2Mixtral 8x22B
ProviderInceptionMistral AI
Noometry Index38.826.7
Released2026-02-202024-04-17
WeightsProprietaryOpen
Context window128K64K
Max output50K64K
Input $ / M tokens$0.25$2
Output $ / M tokens$0.75$6
Results tracked1734

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Category by category

Coding Mercury 2 leads

Mercury 2: 33.2 (#250), Mixtral 8x22B: 23.8 (#324)

BenchmarkMercury 2Mixtral 8x22B
WeirdML43.2%3.2%
LMArena Coding13911166
LMArena WebDev1170—
SciCode38.7%—
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
ALE-Bench785.58—
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Mercury 2: —, Mixtral 8x22B: 22.8 (#119)

BenchmarkMercury 2Mixtral 8x22B
Cybench—7.5%

Reasoning Mercury 2 leads

Mercury 2: 23.0 (#170), Mixtral 8x22B: 19.1 (#246)

BenchmarkMercury 2Mixtral 8x22B
LMArena Hard Prompts13621150
CritPt0.8%—
DTBench—55.1%
Epoch Capabilities Index—122
ForecastBench—56.3

Math Not comparable

Mercury 2: —, Mixtral 8x22B: 21.2 (#271)

BenchmarkMercury 2Mixtral 8x22B
Omni-MATH—16.3%
LMArena Math—1184
MATH Level 5—24.2%

Knowledge Mercury 2 leads

Mercury 2: 35.6 (#170), Mixtral 8x22B: 15.1 (#288)

BenchmarkMercury 2Mixtral 8x22B
LMArena Expert13581113
GPQA Diamond—34.1%
MMLU-Pro—46%
Vectara Hallucination Rate12.3%—
GPQA (HELM)—33.4%
MMLU—77.8%

Multilingual Mercury 2 leads

Mercury 2: 46.8 (#153), Mixtral 8x22B: 32.9 (#250)

BenchmarkMercury 2Mixtral 8x22B
LMArena Non-English13311128
LMArena Chinese14161116
LMArena Russian13031158
LMArena French—1165
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1056
LMArena Spanish—1150

Instruction Following Mercury 2 leads

Mercury 2: 70.4 (#161), Mixtral 8x22B: 57.9 (#261)

BenchmarkMercury 2Mixtral 8x22B
LMArena Instruction Following13281147
IFEval—72.4%

Long Context Mercury 2 leads

Mercury 2: 40.4 (#149), Mixtral 8x22B: 34.6 (#242)

BenchmarkMercury 2Mixtral 8x22B
LMArena Longer Query13291144

Writing & Preference Mercury 2 leads

Mercury 2: 54.0 (#151), Mixtral 8x22B: 37.1 (#257)

BenchmarkMercury 2Mixtral 8x22B
LMArena Text13551162
LMArena Creative Writing12891141
LMArena Multi-Turn13581130
WildBench—71.1%

Frequently asked questions

Is Mercury 2 better than Mixtral 8x22B?

Mercury 2 is the stronger model overall, scoring 38.8 to 26.7 on the Noometry Index.

Which is cheaper, Mercury 2 or Mixtral 8x22B?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Mercury 2 or Mixtral 8x22B better for coding?

Mercury 2 scores higher on coding benchmarks: 33.2 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

Mercury 2 does, with 128K tokens against 64K.

How many benchmarks do Mercury 2 and Mixtral 8x22B share?

12 benchmarks have published results for both models. Mercury 2 has 17 scored results on Noometry and Mixtral 8x22B has 34.

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