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Compare any two local AI models

Pick any two open-weight models. Get a 10-dimension matrix + a hardware-fit table showing where each one runs across 8 common GPU tiers — 12 GB consumer cards to 192 GB Mac Studio M3 Ultra.

PICK ANY TWO MODELS

Model A

Model B

Your hardware (optional, biases the verdict)

Use case

★ EDITORIAL PAGE EXISTS FOR THIS PAIR

Qwen 3 30B-A3B vs Qwen 3 32B — MoE speed vs dense quality at the same size

Hand-written editorial verdict, multi-paragraph framing, 4 FAQ entries, hardware-tier decision rule. Stricter depth than what the comparator alone produces.

→

Live · DB-driven2 min read

TL;DR

For chat: roughly tied on the weighted score (0% vs 0%). Hardware fit starts at RTX 3090 24 GB.

MODEL · A

Qwen 3 30B-A3B

PARAMS: 30BCTX: 128KFAMILY: qwenLICENSE: commercial OK

MODEL · B

Qwen 3 32B

PARAMS: 32BCTX: 128KFAMILY: qwenLICENSE: commercial OK

Verdict for `chat`

Weighted: 0% (Qwen 3 30B-A3B) vs 0% (Qwen 3 32B)

Neither model is the clear better fit for chat. They split the 10 dimensions roughly evenly (0 for Qwen 3 30B-A3B, 0 for Qwen 3 32B, 10 ties). The pick is contextual — check the per-row notes, and remember that "better for this use case" isn't "better overall."

WILL IT RUN — HARDWARE FIT

For each common hardware tier, the best-fitting quant for each model + predicted decode tok/s. ✓ comfortable, ~ tight, ✗ doesn't fit. tok/s extrapolated from bandwidth × active-footprint — measure on your stack.

Hardware tier	Qwen 3 30B-A3B	Qwen 3 32B	Verdict
RTX 3060 12 GB budget consumer · 360 GB/s	✗ doesn't fit	✗ doesn't fit	Neither
RTX 4060 Ti 16 GB consumer 16 GB · 288 GB/s	✗ doesn't fit	✗ doesn't fit	Neither
RTX 3090 24 GB used flagship · 936 GB/s	~ Q5_K_M~23 GB · 27 tok/s est.	~ Q4_K_M~22 GB · 29 tok/s est.	Both fit
RTX 4090 24 GB consumer flagship · 1008 GB/s	~ Q5_K_M~23 GB · 29 tok/s est.	~ Q4_K_M~22 GB · 31 tok/s est.	Both fit
RTX 5090 32 GB next-gen flagship · 1792 GB/s	✓ Q4_K_M~21 GB · 59 tok/s est.	✓ Q4_K_M~22 GB · 56 tok/s est.	Both fit
RTX PRO 6000 Blackwell 96 GB workstation · 1792 GB/s	✓ Q8_0~35 GB · 34 tok/s est.	✓ Q8_0~37 GB · 32 tok/s est.	Both fit
Mac Studio M4 Max 128 GB apple unified · 546 GB/s	✓ Q8_0~35 GB · 12 tok/s est.	✓ Q8_0~37 GB · 11 tok/s est.	Both fit
Mac Studio M3 Ultra 192 GB apple unified flagship · 800 GB/s	✓ Q8_0~35 GB · 18 tok/s est.	✓ Q8_0~37 GB · 16 tok/s est.	Both fit

✓ Comfortable (≥30% headroom)~ Tight (fits, <30% headroom)✗ Doesn't fit

DIMENSION MATRIX

Dimension	Qwen 3 30B-A3B	Qwen 3 32B	Edge
Editorial rating (1-10) Editor rating — single human assessment across reasoning, fluency, tool-use, instruction-following.	unrated	8.9	tie
Parameters (B)	30.0B	32.0B	tie
Context length (tokens)	131K	131K	tie
License (commercial OK?)	✓ Apache 2.0	✓ Apache 2.0	tie
Decode tok/s on chosen hardware	— pick hardware —	— pick hardware —	tie
Fits on chosen hardware (Q4_K_M)	— pick hardware —	— pick hardware —	tie
Cost to run (local, Q4) Smaller model → less VRAM + less electricity per token. Cross-reference with /cost-vs-cloud for $-anchored math.	16.9 GB at Q4_K_M	18.0 GB at Q4_K_M	tie
Community popularity Editorial popularity score — proxy for runtime support breadth + community recipe availability.	94	92	tie
Multimodal support	text only	text only	tie
Released	2025-04-29	2025-04-29	tie

DETAIL · A

Qwen 3 30B-A3B →

Editorial verdict, how to run, hardware guidance.

DETAIL · B

Qwen 3 32B →

Editorial verdict, how to run, hardware guidance.

CURATED

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9 head-to-head editorial pages for the highest-search-intent pairs.

Comparison data computed from live catalog rows + the model-battle comparator (src/lib/model-battle/comparator.ts) + the cross-tier fit calculator (src/lib/compare/model-hardware-fit.ts). All numbers are extrapolated from VRAM / bandwidth math; for measured runs see /benchmarks. The URL captures your selections — share it for the same view.

Compare any two local AI models

Verdict for chat

Verdict for `chat`