BlazeRail vs LLM Gateway

AI Gateway Benchmark Comparison · Updated October 30, 2026

Faster in
1of 2 benchmarks
vs
Faster in
1of 2 benchmarks

BlazeRail and LLM Gateway were each faster in 1 of 2 AI gateway benchmarks with a speed verdict.

Head to head

  • AnthropicCold end-to-end latency · lower is better
    LLM Gateway faster1.75x
    BlazeRail
    970ms
    LLM Gateway
    553ms
  • GeminiCold end-to-end latency · lower is better
    No verdict
    BlazeRail
    —
    LLM Gateway
    2.06s
  • KimiCold end-to-end latency · lower is better
    BlazeRail faster1.84x
    BlazeRail
    1.22s98%
    LLM Gateway
    2.25s

BlazeRail

100% success · October 2, 2026
Median
970ms
p95
1.30s
p99
1.37s
BlazeRail Anthropic results

LLM Gateway

100% success · October 30, 2026
Median
553ms
p95
727ms
p99
1.03s
LLM Gateway Anthropic results

Median cold end-to-end latency over time

5 runs · August 28, 2026 to October 2, 2026
BlazeRailLLM Gateway

Gemini

October 30, 2026

BlazeRail

0% success

No measured time in this run.

BlazeRail Gemini results

LLM Gateway

100% success
Median
2.06s
p95
2.35s
p99
2.36s
LLM Gateway Gemini results

Median cold end-to-end latency over time

4 runs · August 28, 2026 to September 18, 2026
BlazeRailLLM Gateway

BlazeRail

98% success · October 16, 2026
Median
1.22s
p95
1.93s
p99
2.10s
BlazeRail Kimi results

LLM Gateway

100% success · October 30, 2026
Median
2.25s
p95
3.24s
p99
3.28s
LLM Gateway Kimi results

Median cold end-to-end latency over time

6 runs · August 28, 2026 to October 16, 2026
BlazeRailLLM Gateway
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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. A pair also qualifies when both providers completed at least 90% of runs in one shared benchmark. If a provider’s latest run of a benchmark failed, its most recent successful run from that window is used instead.

Frequently asked questions

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BlazeRail and LLM Gateway were each faster in 1 of 2 AI gateway benchmarks with a speed verdict. In Anthropic (October 2, 2026), LLM Gateway had a median cold end-to-end latency of 553ms versus 970ms for BlazeRail, 1.75x faster. In Kimi (October 16, 2026), BlazeRail had a median cold end-to-end latency of 1.22s versus 2.25s for LLM Gateway, 1.84x faster.

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