openai vs together — AI API latency comparison

As of September 07, 2026, openai and together are evenly matched on edge latency — each is faster in 2 of 4 measured region(s). From Europe (Germany), openai leads at 205 ms vs 298 ms p50.

Is openai or together faster in each region?

Regionopenai p50 TTFBtogether p50 TTFBFaster
Asia (Tokyo)204 ms184 mstogether
Europe (Germany)205 ms298 msopenai
South America (São Paulo)240 ms258 msopenai
US (Central)130 ms113 mstogether

Full details: openai by region · together by region.

Does the answer change by region?

The answer flips depending on where you measure from. In Europe (Germany) the gap is widest at 93 ms, while in South America (São Paulo) it narrows to 17 ms — and the faster provider is not the same one in every region.

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

Does openai or together have better uptime?

Over the last 24 hours openai and together are level on availability at 100% of probes succeeding across 4 region(s). Neither is separated from the other by uptime at this sample size.

ProviderProbes succeedingWorst regionthereSamples
openai100%Asia (Tokyo)100%1152
together100%Asia (Tokyo)100%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.