Today's Local LLM Pick: qwen3-coder:30b on RTX 3090 (2026)

Fast verdict

Download qwen3-coder:30b first if you want a fast local baseline on a 24GB RTX 3090.

The daily goal is simple: help a 3090 owner decide what to download tonight, what to skip, and when a cloud fallback is the better use of time. This page is not a generic changelog; it is a practical decision note built from the latest verified LocalVRAM benchmark feed.

Today’s pick

• Model: qwen3-coder:30b
• RTX 3090 speed: 160.0 tok/s
• Latency: 835 ms
• Test time: 2026-04-29T05:39:58Z
• Baseline command:

ollama run qwen3-coder:30b

Who should try it

• Developers and local AI users who want a fresh 24GB RTX 3090 baseline for qwen3-coder:30b.
• Readers comparing local speed against RunPod/Vast before spending cloud credits.
• Anyone deciding whether a new Ollama model is worth downloading in the first 24-48 hour traffic window.

Who should skip it

• Users who need long-context production stability before a sustained run has been verified.
• Teams whose workload requires predictable p95 latency under concurrency; validate locally first, then burst to cloud.
• 8GB/12GB GPU owners unless the model has a smaller quantization or distilled variant.

Verified benchmark anchors

• qwen3-coder:30b: 160.0 tok/s | latency 835 ms | test 2026-04-29T05:39:58Z
• gpt-oss:20b: 156.1 tok/s | latency 1524 ms | test 2026-04-29T05:39:58Z
• qwen3:8b: 135.3 tok/s | latency 1270 ms | test 2026-04-29T05:39:58Z
• ministral-3:14b: 87.3 tok/s | latency 2253 ms | test 2026-04-29T05:39:58Z
• qwen2.5:14b: 84.0 tok/s | latency 946 ms | test 2026-04-29T05:39:58Z

3090 decision guide

1. If the model fits VRAM with headroom and response time is acceptable, run it locally first.
2. If it fits but misses p95 latency, keep the local machine for validation and burst to cloud for peak windows.
3. If it OOMs, reduce context or quantization before buying hardware.
4. If a new Ollama release is trending, publish the estimated page early and update it with verified 3090 data within 24-48 hours.

Comparison prompts to run next

• qwen3-coder:30b vs the current coding baseline.
• qwen3-coder:30b vs the best 14B/20B fast local model.
• qwen3-coder:30b local power cost vs A100 rental for the same workload.

Next actions

• Estimate fit: /en/tools/vram-calculator/
• Model page: /en/models/qwen3-coder-30b-q4/
• Benchmark changelog: /en/benchmarks/changelog/
• Hardware path: /en/affiliate/hardware-upgrade/
• Cloud fallback: /go/runpod and /go/vast

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