id mistralai/mistral-large-2512 · listed 2025-12-01
| Input (per 1M tokens) | $0.500 |
|---|---|
| Output (per 1M tokens) | $1.500 |
| Cached input read (per 1M) | $0.050 |
| Context window | 262,144 tokens |
| Max output | 209,715 tokens |
| Modalities | text+image+file → text |
What 1,000 calls cost at 1,000 input and 300 output tokens each: $0.95.
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
| Model | In / 1M | Out / 1M | Context |
|---|---|---|---|
| Auto Router (Beta) | $-1000000.000 | $-1000000.000 | 2,000,000 |
| Pareto Code Router | $-1000000.000 | $-1000000.000 | 2,000,000 |
| Auto Router | $-1000000.000 | $-1000000.000 | 2,000,000 |
| Meta: Llama 4 Scout | $0.100 | $0.300 | 1,310,720 |
| OpenAI: GPT-6 Luna Pro | $0.100 | $0.500 | 1,050,000 |
| OpenAI: GPT-6 Luna Pro (batch) | $0.050 | $0.250 | 1,050,000 |
Mistral: Mistral Nemo ($0.029 / $0.030) · Mistral: Mistral Small 3 ($0.050 / $0.080) · Mistral: Mistral Small 4 (batch) ($0.075 / $0.300) · Mistral: Ministral 3 8B 2512 (batch) ($0.075 / $0.075) · Mistral: Mistral Small 3.2 24B ($0.094 / $0.250) · Mistral: Ministral 3 3B 2512 ($0.100 / $0.100) · Mistral: Voxtral Small 24B 2507 ($0.100 / $0.300) · Mistral: Mistral Small 4 ($0.150 / $0.600)
GET https://store.agentexchange.work/gw/models/model?id=mistralai/mistral-large-2512 (0.002 USD), /gw/models/cheapest?min_context=128000, /gw/models/models?provider=mistralai. Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtPrices as listed by the hosting providers through OpenRouter, refreshed hourly; a provider's own console may differ. Not affiliated with mistralai. Agent Exchange