Model comparison

Gemini 1.5 Flash (May 2024) vs Mercury

Mercury is the stronger model overall, scoring 37.6 to 33.2 on the Noometry Index.

Last verified . 8 shared benchmarks.

Gemini 1.5 Flash (May 2024) Google

33.2

Rank #246 Confirmed

Mercury Inception

37.6

Rank #199 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 5 categories and Mercury in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Mercury leads 38.7 to 34.4.

Side by side

Gemini 1.5 Flash (May 2024) and Mercury specifications
Gemini 1.5 Flash (May 2024)Mercury
ProviderGoogleInception
Noometry Index33.237.6
Released2024-05-14—
WeightsProprietaryProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked429

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Category by category

Coding Mercury leads

Gemini 1.5 Flash (May 2024): 34.4 (#236), Mercury: 38.7 (#170)

Coding benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Coding12611322
WeirdML24.9%—
BigCodeBench Instruct43.5%—
BigCodeBench Complete55.1%—
HumanEval+75.6%—
MBPP+67.5%—

Agentic & Tool Use Not comparable

Gemini 1.5 Flash (May 2024): 26.6 (#102), Mercury: —

Agentic & Tool Use benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
BALROG14.6%—

Reasoning Gemini 1.5 Flash (May 2024) leads

Gemini 1.5 Flash (May 2024): 21.7 (#215), Mercury: 17.5 (#293)

Reasoning benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Hard Prompts12571285
Kagi LLM Benchmark—21.6%
DTBench53.8%—
Epoch Capabilities Index129.36—
ForecastBench53.9—
PIQA87.5%—

Math Not comparable

Gemini 1.5 Flash (May 2024): 22.1 (#281), Mercury: —

Math benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
OTIS Mock AIME 2024-202516.3%—
Omni-MATH30.4%—
LMArena Math1269—
MATH Level 561.9%—
FrontierMath (Feb 2025 set)0%—
GSM8K82.4%—

Knowledge Not comparable

Gemini 1.5 Flash (May 2024): 26.2 (#260), Mercury: —

Knowledge benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
GPQA Diamond47.3%—
MMLU-Pro67.8%—
GPQA (HELM)43.7%—
LMArena Expert1233—
BoolQ85.8%—
MMLU77.9%—

Multimodal Not comparable

Gemini 1.5 Flash (May 2024): 36.0 (#81), Mercury: —

Multimodal benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Vision1141—
Video-MME70.3%—
GeoBench76%—

Multilingual Gemini 1.5 Flash (May 2024) leads

Gemini 1.5 Flash (May 2024): 42.9 (#189), Mercury: 41.6 (#206)

Multilingual benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Non-English12781260
LMArena Chinese1295—
LMArena French1258—
LMArena German1262—
LMArena Japanese1252—
LMArena Korean1221—
LMArena Russian1288—
LMArena Spanish1243—

Instruction Following Gemini 1.5 Flash (May 2024) leads

Gemini 1.5 Flash (May 2024): 66.8 (#205), Mercury: 65.2 (#224)

Instruction Following benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Instruction Following12581239
IFEval83.1%—

Long Context Too close to call

Gemini 1.5 Flash (May 2024): 39.0 (#187), Mercury: 38.4 (#198)

Long Context benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Longer Query12841266

Writing & Preference Gemini 1.5 Flash (May 2024) leads

Gemini 1.5 Flash (May 2024): 48.7 (#196), Mercury: 46.2 (#221)

Writing & Preference benchmarks
BenchmarkGemini 1.5 Flash (May 2024)Mercury
LMArena Text12871282
LMArena Creative Writing12851191
LMArena Multi-Turn12531282
WildBench79.2%—

Frequently asked questions

Is Gemini 1.5 Flash (May 2024) better than Mercury?

Mercury is the stronger model overall, scoring 37.6 to 33.2 on the Noometry Index.

Is Gemini 1.5 Flash (May 2024) or Mercury better for coding?

Mercury scores higher on coding benchmarks: 38.7 versus 34.4 in the Noometry coding category.

How many benchmarks do Gemini 1.5 Flash (May 2024) and Mercury share?

8 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Mercury has 9.

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