Running Muse Spark Open on H200
Quick answer
Muse Spark Open sustains 6,308 tokens/s per GPU on H200 at 50 tokens/s per user, which works out to $0.054 per million tokens at hyperscaler pricing, served by SGLang. Fastest measured TTFT: 0.5 ms; fastest TPOT: 0.0 ms (each the best across all configs, not one run).
Benchmarked configs
9
Serving engines
SGLang
Precisions
fp4
Run dates
2026-10-16 β 2026-10-16
Throughput at every interactivity target
Serving is a trade-off: push more concurrent users through a GPU and each user's tokens arrive slower. The ladder below reads the measured frontier at each per-user speed target on the AgentX agentic coding workload, using the best engine and precision at that point.
| Per-user target | Tokens/s per GPU | $ / 1M tokens | Engine | Precision |
|---|---|---|---|---|
| 30 tok/s | - | - | SGLang | fp4 |
| 50 tok/s | 6,308 | $0.054 | SGLang | fp4 |
| 75 tok/s | 5,422 | $0.062 | SGLang | fp4 |
| 100 tok/s | 4,493 | $0.075 | SGLang | fp4 |
| 150 tok/s | 2,490 | $0.14 | SGLang | fp4 |
| 200 tok/s | - | - | SGLang | fp4 |
What serving actually costs
Converting the 50 tokens/s per user operating point to $ per million total tokens across rental pricing tiers from the SemiAnalysis AI Cloud TCO model.
| Pricing tier | $ / GPU / hr | $ / 1M tokens |
|---|---|---|
| Owning at Large Hyperscaler Volume | $1.22 | $0.054 |
| Retail | $2.90 | $0.13 |
Frequently asked questions
- How fast is Muse Spark Open on H200?
- At an interactivity target of 50 tokens/s per user on the AgentX agentic coding workload, H200 sustains 6,308 tokens/s per GPU serving Muse Spark Open with SGLang in FP4. Peak measured throughput across all configs is 6,789 tokens/s per GPU.
- How much does it cost to serve Muse Spark Open on H200?
- $0.054 per million total tokens at large-hyperscaler-volume ownership $/GPU/hr pricing, at 50 tokens/s per user. The retail rental tier is tabulated above; slower interactivity targets lower the cost further.
- Which serving engines run Muse Spark Open on H200?
- The runs behind this page used SGLang in FP4. Engines are rebuilt and re-benchmarked continuously, so the best config can change between visits.
- How are these Muse Spark Open numbers measured?
- Every number is measured on real H200 hardware by the InferenceX fleet, sweeping concurrency on the AgentX agentic coding workload to trace the throughput-versus-interactivity frontier; the newest run landed on 2026-10-16. The same derivation powers the InferenceX overview leaderboard.