Noometry

Model comparison

Mercury 2 vs Mixtral 8x7B

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

Last verified . 11 shared benchmarks.

Mercury 2 Inception

39.1

Rank #175 Confirmed

Mixtral 8x7B Mistral AI

27.1

Rank #334 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Mercury 2 scores higher in 7 categories and Mixtral 8x7B in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Mercury 2 leads 36.2 to 11.0.
  • Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • Mercury 2 accepts more context: 128K tokens versus 32K.
  • Mixtral 8x7B has downloadable open weights; the other is API-only.

Side by side

Mercury 2Mixtral 8x7B
ProviderInceptionMistral AI
Noometry Index39.127.1
Released2026-02-202023-12-11
WeightsProprietaryOpen
Context window128K32K
Max output50K32K
Input $ / M tokens$0.25$0.70
Output $ / M tokens$0.75$0.70
Results tracked1738

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Category by category

Coding Too close to call

Mercury 2: 33.5 (#255), Mixtral 8x7B: 32.8 (#269)

BenchmarkMercury 2Mixtral 8x7B
LMArena Coding13911126
LMArena WebDev1171—
SciCode38.7%—
WeirdML43.2%—
ALE-Bench785.58—
HumanEval+—39.6%
MBPP+—49.7%

Reasoning Mercury 2 leads

Mercury 2: 23.8 (#170), Mixtral 8x7B: 18.2 (#285)

BenchmarkMercury 2Mixtral 8x7B
LMArena Hard Prompts13621115
CritPt0.8%—
DTBench—49.6%
Adversarial NLI—55.2%
Epoch Capabilities Index—118.47
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math Not comparable

Mercury 2: —, Mixtral 8x7B: 18.8 (#289)

BenchmarkMercury 2Mixtral 8x7B
Omni-MATH—10.5%
LMArena Math—1147
MATH Level 5—10%
GSM8K—74.4%

Knowledge Mercury 2 leads

Mercury 2: 36.2 (#172), Mixtral 8x7B: 11.0 (#301)

BenchmarkMercury 2Mixtral 8x7B
LMArena Expert13581088
GPQA Diamond—30.6%
MMLU-Pro—33.5%
Vectara Hallucination Rate12.3%—
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multilingual Mercury 2 leads

Mercury 2: 46.6 (#157), Mixtral 8x7B: 29.6 (#266)

BenchmarkMercury 2Mixtral 8x7B
LMArena Non-English13311077
LMArena Chinese14171055
LMArena Russian13041090
LMArena French—1166
LMArena German—1114
LMArena Japanese—931
LMArena Korean—968
LMArena Spanish—1111

Instruction Following Mercury 2 leads

Mercury 2: 70.2 (#165), Mixtral 8x7B: 51.0 (#297)

BenchmarkMercury 2Mixtral 8x7B
LMArena Instruction Following13291109
IFEval—57.5%

Long Context Mercury 2 leads

Mercury 2: 40.5 (#154), Mixtral 8x7B: 33.4 (#260)

BenchmarkMercury 2Mixtral 8x7B
LMArena Longer Query13301103

Writing & Preference Mercury 2 leads

Mercury 2: 53.8 (#155), Mixtral 8x7B: 34.2 (#270)

BenchmarkMercury 2Mixtral 8x7B
LMArena Text13551132
LMArena Creative Writing12891109
LMArena Multi-Turn13581115
WildBench—67.3%

Frequently asked questions

Is Mercury 2 better than Mixtral 8x7B?

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

Which is cheaper, Mercury 2 or Mixtral 8x7B?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is Mercury 2 or Mixtral 8x7B better for coding?

They score almost the same on coding (33.5 vs 32.8); test both on your own repository before choosing.

Which has the bigger context window?

Mercury 2 does, with 128K tokens against 32K.

How many benchmarks do Mercury 2 and Mixtral 8x7B share?

11 benchmarks have published results for both models. Mercury 2 has 17 scored results on Noometry and Mixtral 8x7B has 38.

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