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URL: https://willitrunai.com/compare?a=gtx-1650-4gb&b=arc-a370m-4gb

⇱ Compare GPUs for Local AI — Side-by-Side Hardware Analysis | Will It Run AI


Compare

Compare local AI hardware with workload-aware output.

GTX 1650 4GB wins for coding in balanced mode

Based on model fit, speed, and quality across top recommendations.

GTX 1650 4GB

Winner
CStarCoder2 3B
llama.cppq3-k-mRuns well
3.1 GB / 4.0 GB
40.5 tok/s56K ctx
AQwen 2.5 Coder 1.5B
llama.cppq6-kRuns well
3.0 GB / 4.0 GB
21.0 tok/s33K ctx
CStarCoder2 3B
llama.cppq4-k-mTight fit
3.6 GB / 4.0 GB
38.0 tok/s16K ctx

Quick comparison

MetricGTX 1650 4GBIntel Arc A370M 4GB
Models that fit33
Avg decode tok/s33.229.4
Best grade score7171

Operating mode: Balanced. Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Intel Arc A370M 4GB

CStarCoder2 3B
llama.cppq3-k-mRuns well
3.1 GB / 4.0 GB
34.7 tok/s56K ctx
AQwen 2.5 Coder 1.5B
llama.cppq6-kRuns well
3.0 GB / 4.0 GB
21.0 tok/s33K ctx
CStarCoder2 3B
llama.cppq4-k-mTight fit
3.6 GB / 4.0 GB
32.6 tok/s16K ctx