Capabilities
7-day heat trend
−8.5%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 7% of tracked models
- Faster than 60% of tracked models
- Efficiency rank: #1028 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About pixtral-large-2411
Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of Mistral Large 2. The model is able to understand documents, charts and natural images. The model is...
pixtral-large-2411 is a Multimodal model from Mistral AI (US). HotON.ai tracks it at $2.00 per 1M input tokens and $6.00 per 1M output tokens, with a 131K-token context window, ~153 tokens/sec throughput and 98.2% availability. Its composite efficiency score is 86/100 at an estimated $0.007 per successful task.
Compare pixtral-large-2411
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Frequently asked questions
How much does pixtral-large-2411 cost per 1M tokens?+
pixtral-large-2411 is tracked at $2.00 per 1M input tokens and $6.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $5.00 per 1M tokens. Figures are illustrative demo data.
What is pixtral-large-2411 best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is pixtral-large-2411?+
pixtral-large-2411 delivers about 153 tokens/sec with 98.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is pixtral-large-2411 cheaper than other AI models?+
Within the HotON.ai tracked set, pixtral-large-2411 is cheaper than 7% of models on input price and ranks #1028 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.