Noometry

Model comparison

Mercury 2 vs Mixtral 8x22B

Mercury 2 is the stronger model overall, scoring 39.1 to 27.1 on the Noometry Index.

Last verified . 12 shared benchmarks.

Mercury 2 Inception

39.1

Rank #175 Confirmed

Mixtral 8x22B Mistral AI

27.1

Rank #333 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 36.2 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 Index39.127.1
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: 33.5 (#255), Mixtral 8x22B: 24.2 (#329)

BenchmarkMercury 2Mixtral 8x22B
WeirdML43.2%3.2%
LMArena Coding13911166
LMArena WebDev1171—
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: 23.1 (#127)

BenchmarkMercury 2Mixtral 8x22B
Cybench—7.5%

Reasoning Mercury 2 leads

Mercury 2: 23.8 (#170), Mixtral 8x22B: 19.9 (#248)

BenchmarkMercury 2Mixtral 8x22B
LMArena Hard Prompts13621150
CritPt0.8%—
DTBench—55.1%
Epoch Capabilities Index—122.03
ForecastBench—56.3

Math Not comparable

Mercury 2: —, Mixtral 8x22B: 22.9 (#275)

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

Knowledge Mercury 2 leads

Mercury 2: 36.2 (#172), Mixtral 8x22B: 15.1 (#293)

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: 46.6 (#157), Mixtral 8x22B: 32.8 (#255)

BenchmarkMercury 2Mixtral 8x22B
LMArena Non-English13311128
LMArena Chinese14171116
LMArena Russian13041158
LMArena French—1166
LMArena German—1141
LMArena Japanese—1037
LMArena Korean—1057
LMArena Spanish—1151

Instruction Following Mercury 2 leads

Mercury 2: 70.2 (#165), Mixtral 8x22B: 57.7 (#266)

BenchmarkMercury 2Mixtral 8x22B
LMArena Instruction Following13291147
IFEval—72.4%

Long Context Mercury 2 leads

Mercury 2: 40.5 (#154), Mixtral 8x22B: 34.7 (#247)

BenchmarkMercury 2Mixtral 8x22B
LMArena Longer Query13301144

Writing & Preference Mercury 2 leads

Mercury 2: 53.8 (#155), Mixtral 8x22B: 36.9 (#262)

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 39.1 to 27.1 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: 33.5 versus 24.2 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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