Model comparison

Gemini 3.7 Flash vs Qwen2.5 7B Instruct

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 4.9× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Last verified . 6 shared benchmarks.

Gemini 3.7 Flash Google

59.8

Rank #11 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

28.6

Rank #314 Confirmed

Summary

  • They share 6 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 7 categories and Qwen2.5 7B Instruct in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where Gemini 3.7 Flash leads 69.5 to 11.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.2% for Gemini 3.7 Flash and 2.5% for Qwen2.5 7B Instruct.
  • Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
  • Gemini 3.7 Flash accepts more context: 1.05M tokens versus 131K.
  • Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.

Side by side

Gemini 3.7 Flash and Qwen2.5 7B Instruct specifications
Gemini 3.7 FlashQwen2.5 7B Instruct
ProviderGoogleAlibaba (Qwen)
Noometry Index59.828.6
Released2026-08-132024-09
WeightsProprietaryOpen
Context window1.05M131K
Max output66K8K
Input $ / M tokens$0.75$0.17
Output $ / M tokens$3.75$0.70
Results tracked4415

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Category by category

Coding Gemini 3.7 Flash leads

Gemini 3.7 Flash: 55.7 (#19), Qwen2.5 7B Instruct: 35.9 (#204)

Coding benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
DeepSWE65.5%—
FrontierCode43.6%—
LMArena WebDev1593—
FrontierSWE20.3%—
SciCode59.8%—
BigCodeBench Instruct—37.6%
LMArena Coding1499—
BigCodeBench Complete—46.1%
ALE-Bench904.3—

Agentic & Tool Use Gemini 3.7 Flash leads

Gemini 3.7 Flash: 42.2 (#18), Qwen2.5 7B Instruct: 23.5 (#117)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
APEX-Agents67.8%—
Remote Labor Index5%—
BALROG—7.8%
GDP.pdf23.8%—

Reasoning Gemini 3.7 Flash leads

Gemini 3.7 Flash: 70.1 (#12), Qwen2.5 7B Instruct: 14.3 (#317)

Reasoning benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
Chess Puzzles47%0%
DTBench96.8%47.7%
LMCA50.4%6.4%
Epoch Capabilities Index157.72118.44
ARC-AGI-284.6%—
NYT Connections (extended)94%—
ARC-AGI-195.5%—
CritPt14.3%—
LMArena Hard Prompts1497—
Mystery Game Puzzles37%—

Math Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.5 (#18), Qwen2.5 7B Instruct: 11.8 (#300)

Math benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
OTIS Mock AIME 2024-202597.2%2.5%
FrontierMath (Tiers 1-3)71.6%—
FrontierMath Tier 436.6%—
ProofBench58%—
Omni-MATH—29.4%
LMArena Math1511—

Knowledge Gemini 3.7 Flash leads

Gemini 3.7 Flash: 69.8 (#4), Qwen2.5 7B Instruct: 17.0 (#281)

Knowledge benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
GPQA Diamond94.8%35.5%
SimpleQA Verified69.2%—
MMLU-Pro—53.9%
GPQA (HELM)—34.1%
LMArena Expert1508—
MMLU—72.9%

Multimodal Not comparable

Gemini 3.7 Flash: 36.9 (#69), Qwen2.5 7B Instruct: —

Multimodal benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
LMArena Vision1314—
Furniture Assembly26.7%—

Multilingual Not comparable

Gemini 3.7 Flash: 57.8 (#7), Qwen2.5 7B Instruct: —

Multilingual benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
LMArena Non-English1485—
LMArena Chinese1553—
LMArena French1512—
LMArena German1485—
LMArena Japanese1506—
LMArena Korean1486—
LMArena Russian1519—
LMArena Spanish1507—

Instruction Following Gemini 3.7 Flash leads

Gemini 3.7 Flash: 78.0 (#12), Qwen2.5 7B Instruct: 63.4 (#226)

Instruction Following benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
IFEval—74.1%
LMArena Instruction Following1486—

Long Context Not comparable

Gemini 3.7 Flash: 45.8 (#28), Qwen2.5 7B Instruct: —

Long Context benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
LMArena Longer Query1493—

Writing & Preference Gemini 3.7 Flash leads

Gemini 3.7 Flash: 71.4 (#19), Qwen2.5 7B Instruct: 48.8 (#194)

Writing & Preference benchmarks
BenchmarkGemini 3.7 FlashQwen2.5 7B Instruct
LMArena Text1487—
LMArena Creative Writing1490—
EQ-Bench Creative Writing1723—
WildBench—73.1%
LMArena Multi-Turn1495—

Frequently asked questions

Is Gemini 3.7 Flash better than Qwen2.5 7B Instruct?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 28.6 on the Noometry Index. Qwen2.5 7B Instruct costs 4.9× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.

Which is cheaper, Gemini 3.7 Flash or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.

Is Gemini 3.7 Flash or Qwen2.5 7B Instruct better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.7 Flash does, with 1.05M tokens against 131K.

How many benchmarks do Gemini 3.7 Flash and Qwen2.5 7B Instruct share?

6 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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