Mistral vs Novita AI: Token Pricing, Speed & Intelligence

Full comparison of Mistral and Novita AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Mistral

European frontier AI — Mistral Large, Codestral, and open models

Mistral AI is a Paris-based lab that trains both proprietary and open-weight models. Mistral Large competes with GPT-4 class models at lower prices, while Codestral is purpose-built for code generation with a 262K context window. Several Mistral models are open-weight and available for self-hosting.

CodingEuropean complianceOpen-sourceCost-efficiencyChat

Proprietary modelsHosts open weights

Novita AI

Budget-friendly open-source inference with broad model selection

Novita AI offers some of the lowest per-token prices for open-weight model inference, making it attractive for high-volume or cost-sensitive workloads. They host Llama 3.3 and other popular models with a straightforward API compatible with the OpenAI SDK.

Cost-efficiencyBatch processingOpen-sourceHigh-volumeBudget workloads

Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

Mistral

Several open-weight models available for self-hosting

Codestral purpose-built for code with 262K context

European data sovereignty — GDPR-native

Competitive pricing vs. GPT-4 class models

Mistral Small is one of the cheapest capable models at $0.10/1M

Intelligence scores trail OpenAI and Anthropic at frontier tier

Smaller ecosystem than OpenAI

No vision support on smaller models

Novita AI

Among the lowest per-token prices for open-weight models

Broad model selection including Llama 3.3 and others

OpenAI-compatible API

Good for high-volume batch workloads

Simple pricing structure

Less established than larger inference providers

Throughput and latency not optimised for real-time use

No fine-tuning support

Key differentiators

Mistral

The only frontier lab offering open-weight models alongside proprietary ones — giving teams the flexibility to self-host or use the API.

Novita AI

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.

Frequently asked questions

Mistral FAQs

How much does the Mistral API cost?

Mistral Large costs $2.00/1M input and $6.00/1M output tokens. Mistral Small is $0.10/$0.30 per 1M tokens — one of the cheapest capable models available. Codestral for code generation is priced separately.

Are Mistral models open-weight?

Some are. Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B are open-weight and available on Hugging Face for self-hosting. Mistral Large and Codestral are proprietary and only available via the API.

What is Codestral?

Codestral is Mistral's code-specialised model with a 262K context window. It supports 80+ programming languages and is optimised for code completion, generation, and explanation tasks.

Novita AI FAQs

How cheap is Novita AI?

Novita AI is among the most affordable inference providers for open-weight models, often offering lower prices than Together AI or Fireworks AI. Exact pricing varies by model — check their pricing page for current rates.

What models does Novita AI support?

Novita AI hosts Llama 3.3 70B and a broad selection of other open-weight models. Their catalog focuses on popular, widely-used models.

Is Novita AI good for production use?

Novita AI is well-suited for cost-sensitive production workloads where price is the primary concern. For latency-critical or high-reliability production use, providers like Fireworks AI or Together AI may be more appropriate.

Provider resources

Mistral

Provider page Website Pricing Docs

Novita AI

Provider page Website Pricing Docs

Mistral — European frontier AI — Mistral Large, Codestral, and open models

The only frontier lab offering open-weight models alongside proprietary ones — giving teams the flexibility to self-host or use the API.

Novita AI — Budget-friendly open-source inference with broad model selection

Consistently among the lowest per-token prices for open-weight model inference — the go-to choice for cost-sensitive, high-volume workloads.

Key strengths compared

Mistral

▸Several open-weight models available for self-hosting
▸Codestral purpose-built for code with 262K context
▸European data sovereignty — GDPR-native

Novita AI

▸Among the lowest per-token prices for open-weight models
▸Broad model selection including Llama 3.3 and others
▸OpenAI-compatible API

Provider category context

Mistral is a frontier lab, founded in 2023. Novita AI is a inference api, founded in 2023. Mistral as a frontier lab trains and serves its own proprietary models. Novita AI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers but without access to proprietary frontier models.

How to choose between them

Choose Mistral if you need several open-weight models available for self-hosting. Choose Novita AI if you need among the lowest per-token prices for open-weight models. 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.