Skip to content
llm-speed

Qwen2.5-Coder-7B-Instruct on RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB

MeasuredOn 2026-07-01, Qwen2.5-Coder-7B-Instruct ran at 255.3 tok/s (chat-short) on an RTX 5090 (32GB) with llama.cpp. Run r_2b9o6y_49mi.

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cppQwen2.5-Coder-7B-Instruct255.3tok/s—35.4ms3.9ms4.2ms
chat-longllama.cppQwen2.5-Coder-7B-Instruct244.0tok/s—228ms4.1ms4.2ms
concurrent-decodellama.cppQwen2.5-Coder-7B-Instruct254.0tok/s——3.9ms4.0ms
agent-tracellama.cppQwen2.5-Coder-7B-Instruct229.9tok/s38,735.2tok/s57.4ms4.4ms4.5ms

Reproduce on your machine

Start with this model and workload selection. This command does not capture the original artifact, backend version or server settings:

Match quantization, context capacity, caching and runtime settings for a useful comparison. Duration varies by workload and hardware; the published client may differ from this run's version. How it's measured.

Share this run

Copy the short link, a Reddit-ready summary, or a README badge. Every number is the measured result on this page, and each badge links back to it.

llm-speed: 255.3 tok/s on RTX 5090 (32GB) (Qwen2.5-Coder-7B-Instruct)
https://llm-speed.com/r/r_2b9o6y_49mi

Related benchmarks

Provenance

Run ID
r_2b9o6y_49mi
Fingerprint hash
013ca61a09d17996
Public key
0tv44ISLy10gz6Oc6FJig3eWJVLwso9oKemSM4nicKM=
Received
2026-07-01 08:27:45