Model comparison

Gemini 3.7 Flash vs Qwen2.5-Coder (1.5B)

Gemini 3.7 Flash has enough public results to be ranked (#11); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

Summary

  • They share 1 benchmark with published results for both.
  • Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 Flash and Qwen2.5-Coder (1.5B) specifications
Gemini 3.7 FlashQwen2.5-Coder (1.5B)
ProviderGoogleAlibaba (Qwen)
Noometry Index59.8—
Released2026-08-132024-09-18
WeightsProprietaryOpen
Context window1.05M—
Max output66K—
Input $ / M tokens$0.75—
Output $ / M tokens$3.75—
Results tracked446

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Category by category

Coding Not comparable

Gemini 3.7 Flash: 55.7 (#19), Qwen2.5-Coder (1.5B): —

Coding benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1593—
FrontierSWE20.3%—
SciCode59.8%—
LMArena Coding1499—
ALE-Bench904.3—

Agentic & Tool Use Not comparable

Gemini 3.7 Flash: 42.2 (#18), Qwen2.5-Coder (1.5B): —

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
APEX-Agents67.8%—
Remote Labor Index5%—
GDP.pdf23.8%—

Reasoning Not comparable

Gemini 3.7 Flash: 70.1 (#12), Qwen2.5-Coder (1.5B): —

Reasoning benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
Epoch Capabilities Index157.72112.93
ARC-AGI-284.6%—
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
Chess Puzzles47%—
LMArena Hard Prompts1497—
Mystery Game Puzzles37%—
DTBench96.8%—
LMCA50.4%—
HellaSwag—76.8%
WinoGrande—72.9%

Math Not comparable

Gemini 3.7 Flash: 69.5 (#18), Qwen2.5-Coder (1.5B): —

Math benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
OTIS Mock AIME 2024-202597.2%—
ProofBench58%—
LMArena Math1511—
GSM8K—86.7%

Knowledge Not comparable

Gemini 3.7 Flash: 69.8 (#4), Qwen2.5-Coder (1.5B): —

Knowledge benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
GPQA Diamond94.8%—
SimpleQA Verified69.2%—
LMArena Expert1508—
ARC (AI2) Challenge—60.9%
MMLU—68%

Multimodal Not comparable

Gemini 3.7 Flash: 36.9 (#69), Qwen2.5-Coder (1.5B): —

Multimodal benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
LMArena Vision1314—
Furniture Assembly26.7%—

Multilingual Not comparable

Gemini 3.7 Flash: 57.8 (#7), Qwen2.5-Coder (1.5B): —

Multilingual benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
LMArena Non-English1485—
LMArena Chinese1553—
LMArena French1512—
LMArena German1485—
LMArena Japanese1506—
LMArena Korean1486—
LMArena Russian1519—
LMArena Spanish1507—

Instruction Following Not comparable

Gemini 3.7 Flash: 78.0 (#12), Qwen2.5-Coder (1.5B): —

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
LMArena Instruction Following1486—

Long Context Not comparable

Gemini 3.7 Flash: 45.8 (#28), Qwen2.5-Coder (1.5B): —

Long Context benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
LMArena Longer Query1493—

Writing & Preference Not comparable

Gemini 3.7 Flash: 71.4 (#19), Qwen2.5-Coder (1.5B): —

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashQwen2.5-Coder (1.5B)
LMArena Text1487—
LMArena Creative Writing1490—
EQ-Bench Creative Writing1723—
LMArena Multi-Turn1495—

Frequently asked questions

Is Gemini 3.7 Flash better than Qwen2.5-Coder (1.5B)?

Gemini 3.7 Flash has enough public results to be ranked (#11); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.

How many benchmarks do Gemini 3.7 Flash and Qwen2.5-Coder (1.5B) share?

1 benchmark has published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.

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