Skip to content
llm-speed

r1 on RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB

MeasuredOn 2026-07-02, r1 Q4_K_M ran at 133.8 tok/s (agent-trace) on an RTX 4090 (24GB) with ollama. Run r_fg77v2hhohb.

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortollama@0.31.1deepseek-r1Q4_K_M—————
chat-longollama@0.31.1deepseek-r1Q4_K_M131.9tok/s686.3tok/s4,578ms7.5ms7.8ms
concurrent-decodeollama@0.31.1deepseek-r1Q4_K_M—————
agent-traceollama@0.31.1deepseek-r1Q4_K_M133.8tok/s8,852.4tok/s366ms7.4ms7.7ms

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: 133.8 tok/s on RTX 4090 (24GB) (r1)
https://llm-speed.com/r/r_fg77v2hhohb

Related benchmarks

Provenance

Run ID
r_fg77v2hhohb
Fingerprint hash
Public key
QJfdoJUd8uREJht6zpSv8kI7C22vMATo71AOL/CaMFw=
Received
2026-07-02 14:46:08