Mistral Large 2411
mistralai/mistral-large-2411
Cheapest provider
$2.00 / 1M
Mistral
Fastest provider (p95)
47 tok/s
Mistral
Intelligence (composite)
70.8
MMLU-Pro · HumanEval · math · GPQA
Per-provider performance
Latency / throughput / uptime measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| Mistral | undisclosed | $2.0000 | $6.0000 | 225ms / 3576ms | 37 / 47 tok/s | 100.00% | 100.0% |
“—” 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
70.4
broad reasoning
Code
84.7
pass@1 (HumanEval / LiveCodeBench)
MATH
73.8
math accuracy
GPQA Diamond
50.1
hard reasoning
Source: Mistral Large 2411 model card
How Atlas routes Mistral Large 2411
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For Mistral Large 2411 that’s currently Mistral at $2.00/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.