Compute Comparison
vs
All providers →

Baseten vs Mistral: Token Pricing, Speed & Intelligence

Full comparison of Baseten and Mistral — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Baseten

Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection

Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.

Custom model deploymentFine-tuned modelsML infrastructureProduction servingOpen-weight models
Open-weight hostHosts open weights

Mistral

Mistral Medium 3.5, Mistral Small 4, Voxtral TTS, Mistral OCR 4 — European sovereign AI

Mistral AI is a Paris-based lab offering both proprietary and open-weight models. The September 2026 lineup includes Mistral Medium 3.5 (frontier, 128K context, vision), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Studio is their platform for building, testing, and deploying AI agents. Vibe is their AI agent product for long-horizon work. Check mistral.ai/technology/#pricing for current rates.

CodingEuropean complianceOpen-sourceCost-efficiencyChatVoiceDocument intelligence
Proprietary modelsHosts open weights

Key metric comparison

Cheapest input ($/1M)

—

$0.10

Cheapest output ($/1M)

—

$0.30

Peak throughput

—

350 tok/s

Best latency (TTFT)

—

80ms

Intelligence score

—

76/100

Context window

—

128K

Live token pricing

Basetenlive pricing

No live pricing data available.

Mistrallive pricing

← Swipe to see all columns

ModelInputOutput
mistral-large-latest$0.50EST Jul 2026$1.50
mistral-small-latest$0.10EST Jul 2026$0.30
codestral-latest$0.30EST Jul 2026$0.90
mistral-medium-3$1.50EST Oct 2026$7.50
mistral-large-4$0.68EST Oct 2026$2.09

Strengths and weaknesses

Baseten

Full control over model serving: custom preprocessing, postprocessing, and business logic
Bring your own weights — deploy any HuggingFace model or custom fine-tune
GPU selection: H100, A100, A10G, T4 with per-second billing
Autoscaling including scale-to-zero for cost efficiency
Truss open-source packaging format for reproducible model deployments
More setup required than managed APIs — not a drop-in OpenAI replacement
Cold starts on scale-to-zero deployments (configurable warm pool available)
Pricing is higher than shared inference APIs for low-volume workloads

Mistral

Mistral Medium 3.5 with vision — competitive frontier pricing
Mistral OCR 4 for document intelligence and PDF processing
Voxtral TTS for voice applications
European data sovereignty — GDPR-native, data stays in EU
Several open-weight models available for self-hosting
Mistral Studio for building, testing, and deploying AI agents
Intelligence scores trail OpenAI and Anthropic at frontier tier
Smaller ecosystem than OpenAI
Vibe and Studio products are newer and less battle-tested

Key differentiators

Baseten

The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.

Mistral

The only frontier lab offering European data sovereignty with open-weight models — plus Mistral OCR 4 for document intelligence, Voxtral TTS for voice, and Mistral Studio for agentic AI.

Frequently asked questions

Baseten FAQs

What is Baseten?

Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.

How does Baseten differ from Together AI or Replicate?

Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.

What GPUs does Baseten support?

Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.

Mistral FAQs

What are the latest Mistral models?

Mistral's September 2026 lineup includes Mistral Medium 3.5 (frontier, vision, 128K context), Mistral Small 4 (efficient), Voxtral TTS (text-to-speech), and Mistral OCR 4 (document intelligence). Mistral Small 4 is one of the cheapest capable models available.

Are Mistral models open-weight?

Some are. Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B are open-weight and available on Hugging Face. Mistral Medium 3.5 and Mistral Small 4 are proprietary and available via the API.

What is Mistral OCR 4?

Mistral OCR 4 is a document intelligence model specialised for extracting text and structure from PDFs, scanned documents, and images. It is part of Mistral's Document Intelligence domain offering.

Provider resources

Key strengths compared

Baseten

  • Full control over model serving: custom preprocessing, postprocessing, and business logic
  • Bring your own weights — deploy any HuggingFace model or custom fine-tune
  • GPU selection: H100, A100, A10G, T4 with per-second billing
  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)

Mistral

  • Mistral Medium 3.5 with vision — competitive frontier pricing
  • Mistral OCR 4 for document intelligence and PDF processing
  • Voxtral TTS for voice applications
  • Intelligence scores trail OpenAI and Anthropic at frontier tier
  • Smaller ecosystem than OpenAI

Key weaknesses compared

Baseten

  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)
  • Pricing is higher than shared inference APIs for low-volume workloads

Mistral

  • Intelligence scores trail OpenAI and Anthropic at frontier tier
  • Smaller ecosystem than OpenAI
  • Vibe and Studio products are newer and less battle-tested

Provider category context

Baseten is a inference api, founded in 2019. Mistral is a frontier lab, founded in 2023. Baseten as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Mistral as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.

How to choose between them

Choose Baseten if you need full control over model serving: custom preprocessing, postprocessing, and business logic. Choose Mistral if you need mistral medium 3.5 with vision — competitive frontier pricing. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.