Qwen 3.5 397B-A17B · B300 · Precision Comparison

B300: FP4 vs FP8 Precision Comparison

How FP4 and FP8 precision affect Qwen 3.5 397B-A17B inference on B300 (NVIDIA Blackwell). Throughput, latency, and cost across LLM workloads. Use the chart controls below to switch sequences and metrics — same interactions as the main inference chart.

FP4 posts 4547 tok/s/chip for $0.14 per million tokens at 96 tok/s/user on Qwen 3.5 397B-A17B (B300); FP8 posts 1847 tok/s/chip for $0.34. FP4 is 146% cheaper per token; FP4 delivers 146% more tok/s/chip. Quantization-level accuracy differences are tracked on the evaluation tab.

Throughput at 149 tok/s/user on Qwen 3.5 397B-A17B (B300): FP4 hits 2248 tok/s/chip, FP8 hits 986. Per-million costs land at $0.28 and $0.64 respectively. FP4 is 128% cheaper per token; FP4 delivers 128% more tok/s/chip. The cost-throughput tradeoff from lower precision is only part of the picture — see the evaluation page for accuracy data.

Toward the upper edge of the 43–255 tok/s/user interactivity band, at 202 tok/s/user on Qwen 3.5 397B-A17B (B300): FP4 runs 1419 tok/s/chip at $0.44/M tokens, FP8 runs 662 at $0.95/M. FP4 is 115% cheaper per token; FP4 delivers 115% more tok/s/chip. Precision changes affect both inference speed and model quality — consult the evaluation tab for accuracy benchmarks. (Numbers reflect the default 1k/1k selection for this URL — table and chart below update if you change sequence or model in the controls. Each side uses the best available serving configuration for that precision, which may include speculative decoding such as MTP where recipes exist — the same convention as the other comparison pages.)

Qwen 3.5 397B-A17B: FP4 versus FP8 throughput and cost at matched interactivity levels on B300
FP4 versus FP8 throughput and cost per million tokens on B300 for this comparison's canonical default workload.
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)
FP4:4547.3FP8:1847.3
FP4:2247.9FP8:986.5
FP4:1419.5FP8:661.6
Cost ($/M tok)
FP4:$0.138FP8:$0.340
FP4:$0.279FP8:$0.636
FP4:$0.442FP8:$0.949
tok/s/MW
FP4:2393294FP8:972261
FP4:1183089FP8:519206
FP4:747092FP8:348185
Concurrency
FP4:~64FP8:~40
FP4:~36FP8:~14
FP4:~16FP8:~7

Inference Performance

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

Vendor:
Deployment:
Spec Decoding: