Tripo AI 3D Generator
Mini tools| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
|
Codestral 25.01
Mistral AI
|
$0.3 | - | $0.9 | per 1M tokens |
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Devstral 2
Mistral AI
|
$0.4 | - | $2 | per 1M tokens |
|
Magistral Medium
Mistral AI
|
$2 | - | $5 | per 1M tokens |
|
Magistral Small
Mistral AI
|
$0.5 | - | $1.5 | per 1M tokens |
|
Ministral 3 14B
Mistral AI
|
$0.2 | - | $0.2 | per 1M tokens |
|
Ministral 3 3B
Mistral AI
|
$0.1 | - | $0.1 | per 1M tokens |
|
Ministral 3 8B
Mistral AI
|
$0.15 | - | $0.15 | per 1M tokens |
|
Mistral Large 3
Mistral AI
|
$0.5 | - | $1.5 | per 1M tokens |
|
Mistral Medium 3.5
Mistral AI
|
$1.5 | - | $7.5 | per 1M tokens |
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Mistral NeMo
This model
Mistral AI
|
$0.15 | - | $0.15 | per 1M tokens |
|
Mistral Small 4
Mistral AI
|
$0.1 | - | $0.3 | per 1M tokens |
|
Mixtral 8x22B
Mistral AI
|
$2 | - | $6 | per 1M tokens |
|
Voxtral Small & Voxtral Mini
Mistral AI
|
$0.1 | - | $0.4 | per 1M tokens |
Mistral NeMo
By Mistral AI
Model family: Mistral
Mistral NeMo combines Mistral’s instruction-tuned LLMs with NVIDIA’s NeMo tooling so you can serve them in production with low latency and predictable cost. Models are containerized as NIM microservices, exposing simple APIs while TensorRT-LLM kernels, paged attention, and KV-cache optimizations keep throughput high. You can enable long-context prompting for multi-document tasks, return schema-consistent JSON for workflows, and call external tools directly from the model for agent pipelines. Quantization and multi-GPU parallelism control memory and cost without sacrificing response quality, and Triton inference plus autoscaling make it straightforward to move from dev to large-scale deployments. In practice, teams use Mistral NeMo for enterprise copilots, RAG over private data, analytics assistants that write SQL or Python, and code helpers—getting Mistral’s balanced reasoning with the reliability and observability expected of a production stack.
Text
Gen 7
Overview
Mistral NeMo is the NVIDIA-optimized deployment of Mistral models, packaged as NeMo/NIM microservices for fast, scalable inference. It brings long-context prompting, tool/function calling, and reliable JSON output with TensorRT-LLM acceleration, quantization, and easy autoscaling on NVIDIA GPUs.
Pricing
Compare Mistral NeMo with other models listed in the same vendor pricing tiers and context lengths.
Standard
About Mistral AI
Mistral AI is a company that specializes in artificial intelligence and machine learning solutions.
View Company ProfileBenchmark scores
How Mistral NeMo ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.
Compare across all benchmarks →Tools using Mistral NeMo
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Farooq Rathore🙏 8 karmaApr 8, 2024@Mistral AII just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further
Last updated: April 6, 2026
