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MI355X (ROCm, SGLang, FP8) cost per million tokens vs B200, GLM-5 on one node, best point, May 2026

~29% lower (B200 1.41x)observed

Value kindobserved — Reported measurements, counts, and specifications keep the precision and scope stated by their source; an exact specification is not treated as a range.
ScopeGLM-5 FP8, ISL 8192/OSL 1024, single node, SGLang v0.5.12 images on both chips. Best point is 18 tok/s/user with MTP, where SemiAnalysis puts B200 at 1.41x MI355X's cost per million tokens, so MI355X is about 29% lower ($0.30 vs $0.22 per million tokens, rounded). The advantage holds from about 10 to 77 tok/s/user; B200 is ahead at about 90. The article headline's '40% cheaper' is the 1.41x ratio, not a 40% saving.
CaveatOne model and one workload, not a general ROCm-vs-CUDA result. On SemiAnalysis's October 2026 dashboard MI355X costs 51% more on DeepSeek V4 Pro and 58% less on Qwen3.5 397B (best published run per chip; configurations differ).
As of2026-05
SourceSemiAnalysis InferenceX · GLM-5 FP8, ISL 8192/OSL 1024, single node: best point 18 tok/s/user with MTP, B200 $0.30/M vs MI355X $0.22/M (1.41x)
Reviewchecking…review by 2027-01-31 · fast cadence
Recorded changeslast 2026-10-19 · 3 revisions tracked
Claim idmi355x-rocm-sglang-fp8-cost-per-mtoken

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