qwen3-coder-next
qwen/qwen3-coder-next
qwen/qwen3-coder-next on HuggingFace ↗
Throughput
Decode tok/s after a fixed context fill (PBM) — same agent-style workload as bench v2.
Recipe
- Profile
- qwen-qwen3-coder-next-eugr
- Engine
- vLLM
- Context
- 256k · fp8 KV
- Served as
- qwen3-coder-next
Run on your Spark
single node
shell
spark inference up qwen-qwen3-coder-next-eugr
Why we run it
Golden fleet target — auto-scaffolded from recipe qwen-qwen3-coder-next-eugr.
Bench notes
PBM 4k @ 38.7 tok/s — perfbench-metrics — profile=qwen-qwen3-coder-next-eugr
Measurement history
Context ladder
Older bench-v2 / golden cells at each benched context window (single measurement).
| Context | KV | Throughput |
|---|---|---|
| @ 256k peak golden | — | 38.7t/s |
Benchmark runs
Recorded inference benchmark sessions for this model's profile (single run).
| Date | Profile | Method | Avg | Session t/s | Range | Fill | Tool |
|---|---|---|---|---|---|---|---|
| 2026-06-28latest | qwen-qwen3-coder-next-eugr | bench-agent-v2v2.0 | 38.7t/s | — | — | ~50,000 | fail |
| golden 256k/fp8 @ 38.7 tok/s — fill~50000 — bench-agent-v2 — tool_ok=False | |||||||