Model comparison

Gemini 1.5 Pro (May 2024) vs Qwen2.5-Coder (1.5B)

Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#253); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

Last verified . 2 shared benchmarks.

Summary

  • They share 2 benchmarks with published results for both.
  • Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.

Side by side

Gemini 1.5 Pro (May 2024) and Qwen2.5-Coder (1.5B) specifications
Gemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
ProviderGoogleAlibaba (Qwen)
Noometry Index31.9—
Released2024-02-152024-09-18
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked456

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Category by category

Coding Not comparable

Gemini 1.5 Pro (May 2024): 33.8 (#239), Qwen2.5-Coder (1.5B): —

Coding benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
WeirdML22.2%—
BigCodeBench Instruct43.8%—
LMArena Coding1294—
BigCodeBench Complete57.5%—
CadEval34%—
HumanEval+79.3%—
MBPP+74.6%—

Agentic & Tool Use Not comparable

Gemini 1.5 Pro (May 2024): 17.8 (#137), Qwen2.5-Coder (1.5B): —

Agentic & Tool Use benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
TheAgentCompany3.4%—
Cybench7.5%—
BALROG21%—

Reasoning Not comparable

Gemini 1.5 Pro (May 2024): 12.3 (#332), Qwen2.5-Coder (1.5B): —

Reasoning benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
Epoch Capabilities Index131.73112.93
ARC-AGI-20.8%—
SimpleBench27.1%—
LMArena Hard Prompts1296—
DTBench59%—
BIG-Bench Hard89.2%—
ForecastBench58.4—
HellaSwag—76.8%
WinoGrande—72.9%

Math Not comparable

Gemini 1.5 Pro (May 2024): 24.4 (#260), Qwen2.5-Coder (1.5B): —

Math benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
OTIS Mock AIME 2024-202523.1%—
Omni-MATH36.4%—
LMArena Math1315—
MATH Level 570.4%—
GSM8K—86.7%

Knowledge Not comparable

Gemini 1.5 Pro (May 2024): 29.3 (#228), Qwen2.5-Coder (1.5B): —

Knowledge benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
MMLU86.9%68%
GPQA Diamond57.2%—
Humanity's Last Exam4.6%—
MMLU-Pro73.7%—
Confabulations13.5%—
GPQA (HELM)53.4%—
LMArena Expert1279—
ARC (AI2) Challenge—60.9%

Multimodal Not comparable

Gemini 1.5 Pro (May 2024): 36.2 (#72), Qwen2.5-Coder (1.5B): —

Multimodal benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
LMArena Vision1161—
Video-MME75%—

Multilingual Not comparable

Gemini 1.5 Pro (May 2024): 45.5 (#169), Qwen2.5-Coder (1.5B): —

Multilingual benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
LMArena Non-English1312—
LMArena Chinese1331—
LMArena French1301—
LMArena German1286—
LMArena Japanese1292—
LMArena Korean1298—
LMArena Russian1320—
LMArena Spanish1310—

Instruction Following Not comparable

Gemini 1.5 Pro (May 2024): 68.8 (#180), Qwen2.5-Coder (1.5B): —

Instruction Following benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
IFEval83.7%—
LMArena Instruction Following1297—

Long Context Not comparable

Gemini 1.5 Pro (May 2024): 39.7 (#164), Qwen2.5-Coder (1.5B): —

Long Context benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
LMArena Longer Query1308—

Writing & Preference Not comparable

Gemini 1.5 Pro (May 2024): 52.5 (#167), Qwen2.5-Coder (1.5B): —

Writing & Preference benchmarks
BenchmarkGemini 1.5 Pro (May 2024)Qwen2.5-Coder (1.5B)
LMArena Text1319—
LMArena Creative Writing1333—
WildBench81.3%—
LMArena Multi-Turn1296—

Frequently asked questions

Is Gemini 1.5 Pro (May 2024) better than Qwen2.5-Coder (1.5B)?

Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#253); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

How many benchmarks do Gemini 1.5 Pro (May 2024) and Qwen2.5-Coder (1.5B) share?

2 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.

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