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DeepSeek: DeepSeek V3.2 Performance

Try DeepSeek V3.2 on us. Starter credit covers your first requests, then one key reaches all 9 provider routes with automatic failover.

deepseek/deepseek-v3.2

open weights Performance

All models

AI IQ IQ 101 #115 public AI IQ rank for deepseek-v3.2
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Measured performance

Continuously sampled p50/p95 time-to-first-token (TTFT), effective throughput, and success rate for DeepSeek: DeepSeek V3.2. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime, and no prompt or output content is stored.

Providerp50 TTFTp95 TTFTEffective throughputUptimeConfig excludedAvailability samples
amazon-bedrock 1402 ms 1972 ms — 100.00% — 3
io-net 1787 ms 1787 ms — 100.00% — 1
digitalocean 1793 ms 2734 ms — 100.00% — 3
venice 1818 ms 9704 ms — 100.00% — 2
atlas-cloud 2511 ms 2511 ms — 100.00% — 1
sambanova 3287 ms 5348 ms — 83.33% — 6
friendli 6140 ms 11838 ms — 100.00% 1 provider_error 5
chutes 9622 ms 11833 ms — 100.00% — 2

Full provider & model leaderboard.

Provider diversity

9 routes.

More routes give the auto router more room to fail over around provider 429 and 5xx responses.

Streaming

Gateway overhead is measured separately.

Public status separates TLS/health overhead from full model latency so slow LLMs do not inflate the router metric.

Status

Metadata rollups.

Status samples store latency, outcome, provider, model, route, cost, and region metadata only.

Workspace access

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