LLM API vs NeonAI Gateway Benchmark Comparison

LLM API
Faster in 0 of 2
vs
Neon
Faster in 2 of 2

Neon was faster in both shared AI gateway benchmarks.

Shared benchmarks
2
Last run
October 30, 2026
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Scorecard

Median of each benchmark's primary metric; lower is better. Medians within 5% count as roughly even, and a benchmark gets no speed verdict when either provider completed fewer than 50% of runs.

BenchmarkLLM APINeonResultRatio
OpenAI
Cold end-to-end latency · Run October 30, 2026
1781ms
100% success
830ms
100% success
Neon faster
2.15x
Kimi
Cold end-to-end latency · Run October 30, 2026
2118ms
100% success
947ms
100% success
Neon faster
2.24x

OpenAI

Run October 30, 2026

Time for a cold request routed through the gateway to GPT-5.4 Mini to return its complete response.

Cold end-to-end latency

LLM API

100% success
Median
1781ms
P95
2676ms
P99
2830ms
LLM API OpenAI results →

Neon

100% success
Median
830ms
P95
989ms
P99
1022ms
Neon OpenAI results →

Neon had a 2.15x lower median cold end-to-end latency (830ms vs 1781ms for LLM API).

Median cold end-to-end latency over time

9 runs from August 28, 2026 to October 30, 2026.

LLM APINeon
View the full OpenAI leaderboard →

Kimi

Run October 30, 2026

Time for a cold request routed through the gateway to Kimi K3 to return its complete response.

Cold end-to-end latency

LLM API

100% success
Median
2118ms
P95
2760ms
P99
3524ms
LLM API Kimi results →

Neon

100% success
Median
947ms
P95
1665ms
P99
2312ms
Neon Kimi results →

Neon had a 2.24x lower median cold end-to-end latency (947ms vs 2118ms for LLM API).

Median cold end-to-end latency over time

10 runs from August 28, 2026 to October 30, 2026.

LLM APINeon
View the full Kimi leaderboard →

Methodology

  • One workload, every provider. The same script, payload, and model hit every provider, addressed the way its own API expects. Nobody gets a tuned or special path.
  • Repeated on a schedule. Every suite runs many iterations per provider, automated on a recurring schedule, so results reflect steady state rather than one lucky request.
  • Raw results published. Every run is committed as JSON to the public benchmarks repo, next to the code that produced it. Nothing is cherry-picked or held back.
  • How this comparison is built. Each benchmark compares the two providers' medians; results within 5% count as roughly even. A comparison is published only when both providers completed the latency benchmark on at least two of the same model families reliably: at least 50% success for each provider, in benchmark runs from the last 30 days.

Frequently asked questions

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Neon was faster in both shared AI gateway benchmarks. In OpenAI (October 30, 2026), Neon had a median cold end-to-end latency of 830ms versus 1781ms for LLM API, 2.15x faster. In Kimi (October 30, 2026), Neon had a median cold end-to-end latency of 947ms versus 2118ms for LLM API, 2.24x faster.

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