MiniMax M2.5/M2.7 — B300 vs MI355X
Head-to-head AI inference benchmark comparison of B300 (NVIDIA Blackwell) and MI355X (AMD CDNA 4) on MiniMax M2.5/M2.7. Latency, throughput, and cost across LLM workloads. Use the chart controls below to switch sequences, precisions, and metrics — same interactions as the main inference chart.
B300 / MI355X on MiniMax M2.5/M2.7 at 42 tok/s/user: 7350 / 3180 tok/s/chip, $0.09 / $0.13 per million tokens. B300 is 54% cheaper per token; B300 delivers 131% more tok/s/chip.
Around the middle of the 16–119 tok/s/user interactivity band, at 68 tok/s/user on MiniMax M2.5/M2.7: B300 runs 2609 tok/s/chip at $0.25/M tokens, MI355X runs 1185 at $0.36/M. B300 is 44% cheaper per token; B300 delivers 120% more tok/s/chip.
Setting 93 tok/s/user as the target on MiniMax M2.5/M2.7, B300 produces 1168 tok/s/chip ($0.53 per million tokens) and MI355X produces 568 ($0.71). B300 is 35% cheaper per token; B300 delivers 106% more tok/s/chip. (Numbers reflect the default 1k/1k · fp8 selection for this URL — table and chart below update if you change sequence, precision, or model in the controls.)
| Metric | Interactivity (tok/s/user) | Interactivity (tok/s/user) | Interactivity (tok/s/user) |
|---|---|---|---|
| Throughput (tok/s/chip) | B300:7350.2MI355X:3180.5 | B300:2609.5MI355X:1184.6 | B300:1168.3MI355X:567.7 |
| Cost ($/M tok) | B300:$0.086MI355X:$0.133 | B300:$0.246MI355X:$0.355 | B300:$0.527MI355X:$0.712 |
| tok/s/MW | B300:3868508MI355X:1521763 | B300:1373399MI355X:566770 | B300:614871MI355X:271640 |
| Concurrency | B300:~874MI355X:~141 | B300:~76MI355X:~17 | B300:~25MI355X:~6 |
Inference Performance
Inference performance metrics across different models, hardware configurations, and serving parameters.