Cost per 1M Tokens: Mistral by GPU (Full Breakdown)

The Mistral Model Family

Mistral AI’s open-weight models offer some of the best quality-per-parameter ratios in the industry. From the efficient Mistral 7B to the powerful Mistral Large (123B), there is a variant for every workload. Running them on a dedicated GPU server eliminates per-token API fees entirely. Here is what each model costs per million tokens across every GPU option at GigaGPU.

For the full API-vs-self-hosted comparison, see our Mistral vs API pricing guide. Use the cost per million tokens calculator for your specific numbers.

Mistral 7B: Cost per GPU

Mistral 7B on an RTX 3090 delivers the lowest cost per token: $0.45 per 1M at full utilisation. That is cheaper than any API on the market, including DeepSeek. The RTX 5090 offers slightly higher throughput at a similar per-token cost. Check our RTX 3090 vs RTX 5090 comparison for details.

Mixtral 8x7B (46B MoE): Cost per GPU

Mixtral 8x7B’s MoE architecture runs surprisingly well on a single RTX 6000 Pro 96 GB. At $2.11 per 1M tokens, it significantly undercuts Mistral’s own API rate of $0.70/1M only at very high utilisation. For moderate volumes, the API may be cheaper. See the break-even analysis.

Mistral Large (123B): Cost per GPU

Mistral Large on 4x RTX 6000 Pro with INT8 quantisation reaches $4.97 per 1M tokens at full utilisation. Compare this against the Mistral Large API at $7.20/1M blended: self-hosting saves 31% even before accounting for the flat-rate advantage at high volumes.

Self-Hosted vs Mistral API

The clear winner for self-hosting is Mistral Large: the API is expensive enough that dedicated GPUs save money from day one at moderate volumes. For smaller Mistral models, the API is cheaper per token, but self-hosting still wins if you need data privacy, fine-tuning capabilities, or freedom from rate limits.

Compare against other models: LLaMA 3, DeepSeek, Qwen, and Phi-3.

GPU Recommendations by Workload

• Chatbot / customer support: Mistral 7B on RTX 3090 ($99/mo). Fast, cheap, effective for most conversational tasks. See our chatbot cost analysis.
• General production: Mixtral 8x7B on RTX 6000 Pro 96 GB ($299/mo). Strong quality with efficient MoE architecture.
• Enterprise / complex reasoning: Mistral Large on 4x RTX 6000 Pro ($899/mo). Best quality, cost-effective versus the API.
• Multilingual: Mistral models excel at European languages. Deploy on UK-hosted servers for GDPR compliance.

Use our best GPU for inference guide for detailed hardware recommendations, and the complete cost guide for the full provider landscape. Check throughput numbers on our benchmark page.