Hardware › RTX 5090 local LLM benchmarks: 207 measured configs
RTX 5090 local LLM benchmarks: 207 measured configs
207 measured local-LLM configs on NVIDIA RTX 5090 (32GB); fastest 14B+ model GPT-OSS-20B at 355.6 tok/s. Official specs, every number linked to its source.
Snapshot 2026-10-15 · 394 configs on AI boxes and 423 on GPU cards · 123 models. Every number is generated from the tracker snapshot and linked to where it was measured; nothing here is typed by hand.
Quick answers
- What is the fastest model on RTX 5090?
- GPT-OSS-20B at 355.6 tok/s single-stream (Q3_K_S, llama.cpp/cuda), source last checked 2026-10-15. Models under 14B parameters are left out of this answer. source
- What is the largest model measured on RTX 5090?
- Qwen3.6-35B-A3B (35B parameters) at 210.9 tok/s single-stream (UD-IQ4_NL, llama.cpp/cuda), source last checked 2026-10-15. source
- How many configs does TokenMark track for RTX 5090?
- 207 single-stream configs across 13 models, each linked to the README or model card it came from.
Measured single-stream configs on NVIDIA RTX 5090 (32GB)
| Model | Quant | Backend | Decode | Context | Trust | Source |
|---|---|---|---|---|---|---|
| Qwen3.5-0.8B | Q4_0 | llama.cpp/cuda | 413 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | IQ4_NL | llama.cpp/cuda | 410 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | UD-IQ3_XXS | llama.cpp/cuda | 409.5 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q4_1 | llama.cpp/cuda | 407.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | IQ4_XS | llama.cpp/cuda | 406.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | UD-Q4_K_XL | llama.cpp/cuda | 405.5 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q5_K_S | llama.cpp/cuda | 402.7 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q4_K_S | llama.cpp/cuda | 402.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q4_K_M | llama.cpp/cuda | 401.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | UD-Q5_K_XL | llama.cpp/cuda | 399.1 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q5_K_M | llama.cpp/cuda | 397.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | UD-Q6_K_XL | llama.cpp/cuda | 397 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q8_0 | llama.cpp/cuda | 396.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | UD-Q3_K_XL | llama.cpp/cuda | 394.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q6_K | llama.cpp/cuda | 392.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q3_K_M | llama.cpp/cuda | 388.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | Q3_K_S | llama.cpp/cuda | 381.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | UD-Q8_K_XL | llama.cpp/cuda | 370.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | UD-IQ3_XXS | llama.cpp/cuda | 366.3 tok/s | 8192 | Structured table | source |
| gpt-oss-20b | Q3_K_S | llama.cpp/cuda | 355.6 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | IQ4_XS | llama.cpp/cuda | 352.4 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | Q4_0 | llama.cpp/cuda | 352.2 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | IQ4_NL | llama.cpp/cuda | 350.9 tok/s | 8192 | Structured table | source |
| Qwen3.5-2B | UD-Q3_K_XL | llama.cpp/cuda | 349.8 tok/s | 8192 | Structured table | source |
| Qwen3.5-0.8B | BF16 | llama.cpp/cuda | 349.6 tok/s | 8192 | Structured table | source |
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