DeepSeek vs Mistral

Side-by-side — pricing, strengths, tradeoffs, and fit.

DeepSeek

Open-weight LLMs with strong reasoning/coding at very low cost.

Mistral

European AI lab offering strong open-weight and commercial LLMs.

At a glance

Open SourceEnterprise
◐ Growing·From $0.14/1M input tokens
Open SourceFree TierEnterprise
◐ Growing·From $0.20/1M tokens (small)

Overview

One-liner

Open-weight LLMs with strong reasoning/coding at very low cost.

One-liner

European AI lab offering strong open-weight and commercial LLMs.

Maturity

Growing

Maturity

Growing

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✕ None

Free tier

✓ Available

Free tier / open weights for some models

Starts at

$0.14/1M input tokens

Starts at

$0.20/1M tokens (small)

Model

Usage-based

Model

Usage-based

Enterprise

✓ Available

Enterprise

✓ Available

Best for

✓ Best for

Cost-sensitive reasoning/codingStrong models at a fraction of frontier cost
Self-hosting open reasoning modelsOpen weights

✓ Best for

Cost-efficient or self-hosted LLMsOpen weights plus affordable API
EU data-residency needsEuropean provider

Not ideal for

✕ Not for

—

✕ Not for

—

Strengths

↑ Strengths

Strong reasoning at low cost
Open weights available
Aggressive pricing

↑ Strengths

Strong open-weight models
Cost-efficient
European data-residency option

Weaknesses

↓ Weaknesses

Data-governance considerations
Ecosystem still growing

↓ Weaknesses

Regional inference endpoints incur a 10% surcharge on API costs.
Full DeepSeek profile →Full Mistral profile →