MoonshotAI: Kimi K2 Thinking
moonshotai/kimi-k2-thinking
Cheapest provider
$0.60 / 1M
AtlasCloud
Fastest provider (p95)
—
No throughput data yet — populated as traffic accumulates
Intelligence (composite)
87.9
MMLU-Pro · HumanEval · math · GPQA
Per-provider performance
Latency / throughput / uptime / price measured across providers over the last 30 minutes of live traffic. This is what proves “sourced cheapest” — Atlas mode draws on these per call to serve the cheapest path that holds quality.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| AtlasCloud | q4· int4 | $0.6000 | $2.5000 | — | — | 100.00% | — |
| undisclosed | $0.6000 | $2.5000 | — | — | 100.00% | — | |
| Novita | full· bf16 | $0.6000 | $2.5000 | — | — | 99.19% | — |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence breakdown
Composite score is a weighted average of public benchmarks (30% MMLU-Pro, 25% code pass@1, 25% math, 20% GPQA). Numbers come from model cards and the Artificial Analysis intelligence harness; missing components are renormalised over what’s present.
MMLU-Pro
84.6
broad reasoning
Code
—
pass@1 (HumanEval / LiveCodeBench)
AIME 2025
94.5
math accuracy
GPQA Diamond
84.5
hard reasoning
Source: Moonshot AI — Kimi K2 Thinking model card (MMLU-Pro 84.6, GPQA-Diamond 84.5, AIME25 94.5 no-tools); huggingface.co/moonshotai/Kimi-K2-Thinking
How Atlas mode sources MoonshotAI: Kimi K2 Thinking
- Strict mode — pin MoonshotAI: Kimi K2 Thinking exactly and we pass it straight through, sourced from the cheapest provider above. The same model, no substitutions — currently AtlasCloud at $0.60/1M.
- Atlas mode — the default. Each call is auto-optimized for the cheapest path that holds quality, at least 5% off going direct from call one and climbing as it ramps. You always see which model served the call and exactly what you saved — thumbs-down anything you don’t like for a full refund.