Artificial Analysis benchmarks AMD MI355X against NVIDIA systems on coding agent workloads

What happened

Artificial Analysis is adding AMD MI355X results to AA-AgentPerf, which replays real coding agent sessions with prompt caching and tool-call delays. On a single 8-GPU node, MI355X delivers ~15% to 40% more throughput per MW than B200 on DeepSeek V4 Pro 0813 between 35 and 75 tok/s per user. DeepSeek V4.1 Flash matches NVIDIA Blackwell performance for a single agent but trails as load rises; GLM-5.2/5.3 and Kimi K3 also trail the compared NVIDIA systems. Results use ROCm nightly and dev builds of vLLM and SGLang; Kimi K3 comparisons use NVIDIA multi-node configurations.

The story so far

Artificial Analysis added DeepSeek V4.1 Flash and AMD MI355X results to its AA-AgentPerf leaderboard, reporting that NVIDIA’s GB300 led the listed V4.1 Flash systems in throughput per megawatt, while MI355X outperformed B200 under specific DeepSeek V4 Pro 0813 workloads. AA-AgentPerf replays real coding agent sessions with prompt caching and tool-call delays. For V4.1 Flash at 100 output tokens per second per user, Artificial Analysis reported approximately 261 million tokens per second per MW for GB300, 220 million for B300 and 128 million for MI355X. At that per-user speed, it reported V4.1 Flash delivered approximately 1.3 to 6.2 times V4 Pro 0813’s throughput per MW, depending on hardware. Its Intelligence Index scores were 39 for V4.1 Flash and 36 for V4 Pro 0813. In its broader AMD comparison, Artificial Analysis reported that MI355X on a single 8-GPU node delivered approximately 15% to 40% more throughput per MW than B200 on V4 Pro 0813 at 35–75 tokens per second per user. It said V4.1 Flash matched NVIDIA Blackwell performance for a single agent but fell behind as load increased; GLM-5.2/5.3 and Kimi K3 also trailed the compared NVIDIA systems. All MI355X results used ROCm nightly and development builds of vLLM and SGLang; the Kimi K3 comparisons used NVIDIA multi-node configurations.

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