LLM Inference Benchmark Explorer
Qwen3.6-35B-A3B on 1× DGX Spark — FP8, vLLM, TP1 inference benchmark
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| Model | Qwen3.6-35B-A3B |
|---|---|
| Parameters | 35B |
| Intelligence Index | 18.2 |
| Agentic Index | 13.1 |
| Device | 1× DGX Spark |
| Quantization | FP8 |
| Max C | 8 |
| Chat Capacity | 32 |
| Agentic Capacity | 12 |
| TP | — |
| DP | — |
| PP | — |
| Engine | vLLM |
| Speculative Decoding | — |
| C | TTFT (ms) | TPS (tok/s) | Status |
|---|---|---|---|
| 1 | 115 | 52.24 | PASS |
| 2 | 151 | 41.98 | PASS |
| 4 | 209 | 32.00 | PASS |
| 8 | 676 | 22.29 | PASS |
| 16 | 548 | 16.18 | FAIL |
| 32 | 634 | 11.22 | FAIL |
In OpenZeka's measurement, Qwen3.6-35B-A3B (35B parameters), served in FP8 format with vLLM on 1× DGX Spark, reached a generation speed of 52.2 tok/s per request and a time to first token (TTFT) of 115 ms with a single request.
Considering the speed targets and the available KV cache capacity, the estimated capacity is 32 users for chat use and 12 for agentic use. The realistic capacity will likely fall between these two values. In scenarios dominated by coding, tool use, long workflows and multi-agent use, capacity approaches the agentic estimate; where shorter interactions, standard conversations and lighter tasks dominate, it approaches the chat estimate.
Intelligence Index and Agentic Index values are published by Artificial Analysis and are reproduced here with attribution.
In OpenZeka's measurement, Qwen3.6-35B-A3B (35B parameters), served in FP8 format with vLLM on 1× DGX Spark, reached a generation speed of 52.2 tok/s per request and a time to first token (TTFT) of 115 ms with a single request.
Considering the speed targets and the available KV cache capacity, the estimated capacity is 32 users for chat use and 12 for agentic use. The realistic capacity will likely fall between these two values. In scenarios dominated by coding, tool use, long workflows and multi-agent use, capacity approaches the agentic estimate; where shorter interactions, standard conversations and lighter tasks dominate, it approaches the chat estimate.