All systems operational
Live status and speed of the Umans Code gateway and its models, refreshed every 30 seconds. For each model we show its output speed and median time to first token.
Models in production
tok/s = output tokens per second · TTFT = time to first token · p50 = median over the last 5 minutes. On each gauge the midpoint is that model's target; the marker sits further right when it's beating target (faster TTFT, higher throughput).
Umans DeepSeek V4.1 Flash Recommended also served as umans-coder, umans-flash, umans-deepseek-v4.1-flash-1017Operational997.3tok/sthroughput · p50 · last 5 min723msTTFT · p50 · last 5 min100.00%uptime · 24h
DeepSeek V4.1 Flash, served from DeepSeek's official DeepSeek-V4.1-Flash-1017 release: the October 17 update of DeepSeek's latest flash model, a 552B mixture-of-experts (8B active per token on prefill, 16B on decode) built for fast agentic coding, with native image understanding and a 1M-token context window. Updated on October 20, 2026 from the original DeepSeek-V4.1-Flash weights to 1017, which DeepSeek reports as stronger on reasoning, coding, agentic and visual benchmarks, with shorter outputs. This id follows future V4.1 Flash updates; umans-deepseek-v4.1-flash-1017 stays on 1017. Reasoning has four modes: non-think (none), think low (low), think high (high, the default) and think max (max). Billed per token ($0.15 / $0.60 / $0.028 per 1M; input / output / cache read). Served on our own GPU infrastructure with high availability.
90-day speed trends & events →Operational82.3tok/sthroughput · p50 · last 5 min615msTTFT · p50 · last 5 min100.00%uptime · 24h
Kimi K3: Moonshot's most capable model and the first open 3T-class release - 2.8T parameters, a 1M-token context window, and native vision, built for repository-scale understanding and long agentic runs. On Artificial Analysis' independent Intelligence Index it scores 44 to Claude Fable 5's 50 at about a third of the cost to run it, and it leads Fable 5 on AutomationBench-AA (58% vs 54%). It thinks by default at maximum reasoning effort; select none, low, high, or max to trade depth for speed.
90-day speed trends & events →Operational45.1tok/sthroughput · p50 · last 5 min912msTTFT · p50 · last 5 min100.00%uptime · 24h
GLM 5.3 is Z.ai's flagship open-weights model for coding and long-horizon agentic work: a 744B mixture-of-experts with 40B active parameters and a 1M-token context window, the successor to GLM 5.2 on the same base with large post-training gains on complex coding tasks. It always thinks at max effort by default; dial reasoning to low or high (thinking cannot be turned off).
90-day speed trends & events →In the playground
Umans Kimi K3.1 Pro (lab) Experimental In testing64.4tok/sthroughput · p50 · last 5 min2.02sTTFT · p50 · last 5 min99.56%in testing
Kimi K3.1 Pro as a Labs experiment, open for a short test window: temporary, not a permanent id. Moonshot's newest open model, post-trained from Kimi K3 and served from the official Kimi-K3.1-Pro open weights: a 2.8T mixture-of-experts (104B active per token) with native image understanding and a 1M-token context, which Moonshot reports as substantially stronger than K3 on coding, factual accuracy and agentic work. It thinks by default at maximum reasoning effort; select none, low, high or max to trade depth for speed. Access is seat-gated through the Labs page while an experiment is live. It is offered at limited capacity and low availability, so expect it to be flaky and to go down under load: crash it, give it a moment, and try again. For production work we recommend the pay-per-token umans-kimi-k3.
90-day speed trends & events →