Can an RTX 3090 run Qwen3-Coder-30B-A3B-Instruct?
Yes: an RTX 3090 runs Qwen3-Coder 30B-A3B at 199.7 tok/s at Q4_K_M, measured on llama.cpp with a 110-token prompt in October 2026.
1 signed run on llm-speed. Single-request decode speed in tokens per second; the short-chat workload unless noted. This run was measured by llm-speed (@llmspeed). Runs measured by llm-speed are credited to @llmspeed.
Measured tok/s by quant and runtime
| Quant | Runtime | Build | Decode tok/s (best run) | Workload | Runs | Source |
|---|---|---|---|---|---|---|
| Q4_K_M | llama.cpp | commit ea0c4c2 | 199.7 | chat-short | 1 | Measured by llm-speed@llmspeed |
Fastest quant that fits: Q4_K_M on llama.cpp, 199.7 tok/s (measured by llm-speed; it fits because it ran on this hardware). Quants without a run are not listed.
VRAM: not recorded for these runs. The VRAM calculator gives an estimate (predicted, not measured).
Every measured row
| Run | Date (UTC) | Workload | Quant | Runtime / build | Prompt tokens | Output tokens | Decode tok/s | Prefill tok/s | TTFT ms | VRAM GiB | Source |
|---|---|---|---|---|---|---|---|---|---|---|---|
| r_0dh1kzbv4h0 | 2026-10-17 | chat-short | Q4_K_M | llama.cpp · commit ea0c4c2 | 110 | 256 | 199.7 | 612.5 | 180 | – | Measured by llm-speed@llmspeed |
| r_0dh1kzbv4h0 | 2026-10-17 | chat-long | Q4_K_M | llama.cpp · commit ea0c4c2 | 3147 | 580 | 187.0 | 3971.3 | 792 | – | Measured by llm-speed@llmspeed |
| r_0dh1kzbv4h0 | 2026-10-17 | agent-trace | Q4_K_M | llama.cpp · commit ea0c4c2 | 3247 | 840 | 190.9 | 10182.2 | 214 | – | Measured by llm-speed@llmspeed |
| r_0dh1kzbv4h0 | 2026-10-17 | concurrent-decode | Q4_K_M | llama.cpp · commit ea0c4c2 | 1024 | 256 | 198.0 | – | – | – | Measured by llm-speed@llmspeed |
Questions
Can an RTX 3090 run Qwen3-Coder-30B-A3B-Instruct?
Yes: an RTX 3090 runs Qwen3-Coder 30B-A3B at 199.7 tok/s at Q4_K_M, measured on llama.cpp with a 110-token prompt in October 2026.
How many tokens per second does Qwen3-Coder-30B-A3B-Instruct get on an RTX 3090?
Decode speed measured by llm-speed, by quantization and runtime: Q4_K_M on llama.cpp: 199.7 tok/s. Based on 1 run measured by llm-speed; single-request chat-short unless noted.
What is the fastest quant of Qwen3-Coder-30B-A3B-Instruct that fits on an RTX 3090?
Q4_K_M on llama.cpp was the fastest measured setting at 199.7 tok/s; it fit because it ran. Other quants are listed only where a run measured them.
How much VRAM does Qwen3-Coder-30B-A3B-Instruct use on an RTX 3090?
Memory use was not recorded for these runs. The VRAM calculator gives an estimate, not a measurement.
Sources and related pages
- Source runs: r_0dh1kzbv4h0
- Qwen3-Coder-30B-A3B-Instruct: every measured GPU and Mac
- RTX 3090: every measured model
- VRAM calculator for Qwen3-Coder-30B-A3B-Instruct on RTX 3090
- RTX 5090 vs RTX 3090
- RTX 4090 vs RTX 3090
- Qwen3-Coder-30B-A3B-Instruct vs Codestral-22B-v0.1
- DeepSeek-Coder-V2-Lite-Instruct vs Qwen3-Coder-30B-A3B-Instruct
- Qwen2.5-Coder-32B-Instruct vs Qwen3-Coder-30B-A3B-Instruct
- Qwen2.5-Coder-14B-Instruct vs Qwen3-Coder-30B-A3B-Instruct
- How runs are measured · open dataset (CC BY 4.0)