deepseek vs sambanova — AI API latency comparison

As of September 07, 2026, sambanova has lower edge latency (time-to-first-byte) than deepseek in 3 of 4 measured region(s). From US (Central), sambanova responds in 134 ms p50 vs 316 ms.

Is deepseek or sambanova faster in each region?

Regiondeepseek p50 TTFBsambanova p50 TTFBFaster
Asia (Tokyo)177 ms23 mssambanova
Europe (Germany)300 ms396 msdeepseek
South America (São Paulo)438 ms370 mssambanova
US (Central)316 ms134 mssambanova

Full details: deepseek by region · sambanova by region.

Does the answer change by region?

The answer flips depending on where you measure from. In US (Central) the gap is widest at 183 ms, while in South America (São Paulo) it narrows to 68 ms — and the faster provider is not the same one in every region.

This is why a single-location benchmark cannot answer “is deepseek or sambanova faster” for you. Pick the row that matches where your requests originate.

Does deepseek or sambanova have better uptime?

Over the last 24 hours deepseek answered more probes successfully than sambanova: 99.6% against 99.5% across 4 region(s).

ProviderProbes succeedingWorst regionthereSamples
deepseek99.6%South America (São Paulo)98.6%1153
sambanova99.5%Europe (Germany)99.0%1153

Availability observed by our probes over the last 24 hours, not a contractual SLA. Providers publish their own SLA terms and their own status pages; this is an outside view of whether requests actually completed, which is the number a status page cannot give you about your own region. The worst region is shown next to the average because an average hides the one place where a share of your users sees a different service. Longer windows and all 4 regions: uptime comparison · confirmed outages: incidents.

What exactly is being compared?

Both providers are measured the same way, from the same probes, on the same schedule: a real connection is opened to each provider’s own API host and DNS, TCP, TLS and the first response byte are timed. Neither is measured through a gateway or aggregator, so the numbers reflect each provider’s own infrastructure. Figures are p50 and p95 over the last 24 hours; percentiles are nearest-rank, because a handful of outliers would distort an average.

What this comparison does not cover

This is edge latency — the time before the model starts working. It is the floor you pay on every request regardless of which model you call, and it is the part you cannot optimise away with a better prompt. It is not time-to-first-token, throughput, price or answer quality: those depend on the specific model, and comparing them across providers running different models would not be like-for-like. Measured time to first token (TTFT), with the model named next to every figure and the network share broken out, is on the time to first token page.

Method in full: methodology · Raw numbers under CC BY 4.0: JSON API · No provider pays for placement.