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Qwen 3.8 Flash Next 176B-A6B Β· Chip comparison

Qwen 3.8 Flash Next 176B-A6B β€” MI355X vs Vera Rubin NVL72

Head-to-head AI inference benchmark comparison of MI355X (AMD CDNA 4) and Vera Rubin NVL72 (NVIDIA Vera Rubin) on Qwen 3.8 Flash Next 176B-A6B. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics β€” same interactions as the main inference chart.

AgentX replays real coding-agent sessions rather than fixed-length prompts, so context grows turn over turn and most of each request is served from cache instead of being recomputed. That turns the comparison into a systems question: KV transfer between nodes, prefix-aware routing, and cache capacity all move the curve alongside raw chip throughput. Fixed-sequence workloads stay the clean baseline for kernel and silicon performance, so the two scenarios answer different questions about the same hardware. Learn more about AgentX β†’

Throughput at 86 tok/s/user on Qwen 3.8 Flash Next 176B-A6B: MI355X hits 58839 tok/s/chip, Vera Rubin NVL72 hits 252442. Per-million costs land at $0.01 and $0.00 respectively. Vera Rubin NVL72 is 78% cheaper per token; Vera Rubin NVL72 delivers 329% more tok/s/chip.

MI355X / Vera Rubin NVL72 on Qwen 3.8 Flash Next 176B-A6B at 106 tok/s/user: 36602 / 234872 tok/s/chip, $0.01 / $0.00 per million tokens. Vera Rubin NVL72 is 167% cheaper per token; Vera Rubin NVL72 delivers 542% more tok/s/chip.

Toward the upper edge of the 67–145 tok/s/user interactivity band, at 125 tok/s/user on Qwen 3.8 Flash Next 176B-A6B: MI355X runs 19807 tok/s/chip at $0.02/M tokens, Vera Rubin NVL72 runs 219422 at $0.00/M. Vera Rubin NVL72 is 360% cheaper per token; Vera Rubin NVL72 delivers 1008% more tok/s/chip. (Numbers reflect the default agentic-traces Β· fp4 selection for this URL β€” table and chart below update if you change sequence, precision, or model in the controls.)

View performance-per-dollar view β†’

Interpolated from real benchmark data. Edit target interactivity values below to compare at different operating points.
Metric
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Interactivity (tok/s/user)
Throughput (tok/s/chip)
MI355X:58838.9Vera Rubin NVL72:252442.2
MI355X:36602.3Vera Rubin NVL72:234872.5
MI355X:19807.3Vera Rubin NVL72:219421.7
Cost ($/M tok)
MI355X:$0.007Vera Rubin NVL72:$0.004
MI355X:$0.011Vera Rubin NVL72:$0.004
MI355X:$0.021Vera Rubin NVL72:$0.005
tok/s/MW
MI355X:28152565Vera Rubin NVL72:76497626
MI355X:17513060Vera Rubin NVL72:71173476
MI355X:9477154Vera Rubin NVL72:66491434
Concurrency
MI355X:~13Vera Rubin NVL72:~207
MI355X:~8Vera Rubin NVL72:~234
MI355X:~5Vera Rubin NVL72:~239

Inference Performance

Agentic inference metrics from the AgentX scenario and fixed-sequence inference metrics across models, hardware configurations, and serving parameters.

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