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llm-speed

gpt-oss on RTX 4090 (24GB) + AMD EPYC 7352 24-Core Processor (24c) + 252GB

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortollama@0.31.1gpt-ossMXFP4
chat-longollama@0.31.1gpt-ossMXFP4141.7tok/s631.5tok/s5,048ms7.0ms7.2ms
concurrent-decodeollama@0.31.1gpt-ossMXFP4
agent-traceollama@0.31.1gpt-ossMXFP4

Reproduce on your machine

Same workload, same model, signed at your rig. The exact command that produced this run:

$ pipx install llm-speed && llm-speed bench --model 'gpt-oss' --workload 'chat-long'

Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.

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Drop the badge into a README, blog post, or signature. Each render is a backlink to the signed result.

llm-speed: 142 tok/s on RTX 4090 (24GB) (gpt-oss)
[![llm-speed: 142 tok/s on RTX 4090 (24GB) (gpt-oss)](https://llm-speed.com/badge/r_iu2sfa9ykvw.svg)](https://llm-speed.com/r/r_iu2sfa9ykvw)

Related benchmarks

Provenance

Run ID
r_iu2sfa9ykvw
Fingerprint hash
Public key
0HLHIuCNBVqMWfEcs2CgAPRW0tmg57J74qNICpRE3sQ=
Received
2026-07-02 12:19:16