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Mistral AI vs OpenAI API

Two model provider options for LLM API. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.

Mistral AIModel providerllms.txtIn Replit
OpenAI APIModel providerllms.txtIn Lovable, Replit
Ask your AI about this, with this page as the source:ChatGPT ↗Claude ↗Perplexity ↗

Which fits you

Choose Mistral AI if
  • Token cost dominates your budget, for example high-volume batch or agent workloads

Use it whenYou want an EU-based provider, or document OCR alongside text models.

Trade-offA smaller ecosystem of third-party integrations than the largest providers.

Choose OpenAI API if
  • You want the strongest general models and the widest ecosystem of examples and integrations

Use it whenYou want one account that covers text, images, speech and embeddings, with the most examples to copy from.

Trade-offFrequent model and API changes to keep up with, and no option to run its hosted models elsewhere.

At a glance

Mistral AIOpenAI API
Used by15 makers' products · 69 open-source projects734 makers' products · 481 open-source projects
Cost at default usageinput tokens 50 million tokens, output tokens 10 million tokens$6.00/mo Ministral 3 (3B)$10/mo GPT-6 Luna
Moved to it on GitHubpull requests since Oct 20249 from OpenAI API4 from Mistral AI
Downloads7.1M/wk6× vs npm34.1M/wk+61% vs npm
PricingPay per token; the free plan includes $10/mo in API credits to test models in Mistral Studio. · paid from Pay per tokenPay per token. · paid from Pay per token
Free tierYesNo
Open sourceNoNo
Incidents, 90 daysfrom its status pageno public status feed25+ (4 major)

Cost as you grow

At 1M tokens Mistral AI costs less ($0.12 vs $0.20); and still does at 5B tokens ($600 vs $1,000).

$0$20$100$500$1,0001510501005001k5k
OpenAI APIMistral AIx: input tokens per month (million tokens), other usage scaled with it · cheapest usable plan at each point, list prices · try your own numbers
The numbers, plan by plan
Input tokens per monthMistral AIOpenAI API
1$0.12 Ministral 3 (3B)$0.20 GPT-6 Luna
5$0.60 Ministral 3 (3B)$1.00 GPT-6 Luna
10$1.20 Ministral 3 (3B)$2.00 GPT-6 Luna
50$6.00 Ministral 3 (3B)$10 GPT-6 Luna
100$12 Ministral 3 (3B)$20 GPT-6 Luna
500$60 Ministral 3 (3B)$100 GPT-6 Luna
1,000$120 Ministral 3 (3B)$200 GPT-6 Luna
5,000$600 Ministral 3 (3B)$1,000 GPT-6 Luna

From each vendor's pricing page: Mistral AI, OpenAI API.

Who moves from one to the other

Public pull requests on GitHub since Oct 2024 whose title says "Mistral AI to OpenAI API" or the reverse — real code changes, by developers in general rather than makers only.

OpenAI API → Mistral AI9 PRs
All matching pull requests on GitHub ↗
Mistral AI → OpenAI API4 PRs
All matching pull requests on GitHub ↗

What makers say

Makers on using it for LLM API, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.

On Mistral AI
Talespinner uses Mistral Large as a writing model. It is great for writing novels with more mature topics, since it doesn't censor your writing that much.
Talespinner, the makerSep 2026 ↗
We use Mistral as an endpoint in our team builder flow; you can combine this model with all available models.
Officely AI, the makerSep 2026 ↗
Mistral helped us create a few different AI agents using their console is pretty smooth
Podpod, the makerSep 2026 ↗
4 more on the Mistral AI page →
On OpenAI API
We use GPT-5.6 to power the Basedash AI data analyst. It's incredibly intelligent and, with the right harness, allows us to rank #1 on BI Bench for solving real-world BI scenarios.
Basedash, the makerSep 2026 ↗
Credit where it’s due: OpenAI’s dev tools made it incredibly easy to prototype and test multiple ideas fast. Still unmatched when you need raw speed, documentation, and flexibility.
Calk AI, the makerSep 2026 ↗
Quven writes subtitles from the audio of a film on the machine of the user. The Whisper models, run locally through whisper.cpp, can do it and the audio never leaves that machine.
Quven, the makerOct 2026 ↗
500 more on the OpenAI API page →

Loved and watch-outs

Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.

Mistral AI
Most loved
  • As an EU company focused on GDPR and data sovereignty, it suits privacy-first products. PHHN
  • Its models are cost-effective for tasks like summaries and agents. PHPH 2
  • Open-weight models and fast small models give deployment flexibility. PHPH 2
Watch-outs
  • Its general LLMs are seen as trailing the leading models. HNHN 2
On Product Hunt: 5.0★, 41 reviews · mentioned most: open source models, open technology commitment, performance and scalability
OpenAI API
Most loved
  • Its models are strong at code generation, reasoning and creative tasks, often chosen after testing alternatives. PHPH 2PH 3PH 4
  • The API is reliable and well-priced as the foundation for production features. PHPH 2PH 3HN
  • Good docs and a smooth developer experience make integration straightforward. PHPH 2PH 3PH 4
Watch-outs
  • It cut usage on the $200 Pro plan and changed limits, frustrating paying subscribers. HNHN 2HN 3HN 4
  • Model quality shifts between releases, including a quickly replaced GPT-6 and quietly tweaked reasoning levels. HNHN 2HN 3HN 4
  • Models flag or stop midway on legitimate security work. HNHN 2
On Product Hunt: 5.0★, 860 reviews · mentioned most: AI API, AI productivity boost, fast performance · complaints: AI accuracy issues, AI pricing

Who uses each

Mistral AI15 makers' products
Internet.ioKuration AIMeetMinutesOfficely AIOmnifactPodpodRankfenderShipable AI by CNTXT AITalespinnerGroReferentOpenSauced+3 more
OpenAI API734 makers' products
2dto3D8baseAgentplace.ioAgentXAgnost AIAgree.comAI Context FlowAI Form FillAI Game Master- Dungeon RPGAI Santa ClausAI ShadowingAI Test Engineer by BlinqIO+722 more
Used by both — often one replacing the other, or each for a different part of the product
Internet.ioKuration AIOfficely AIOmnifactShipable AI by CNTXT AIReferentBlacksmith

What makers pair each with

With Mistral AI
Payments
Hosting
Frontend Framework
Database
With OpenAI API
Frontend Framework
Transactional Email
Hosting
Payments

Neither quite right?

See the whole LLM API decision →
ClaudeModel providerCoding, long documents and agent-style tool use.vs Mistral AI →vs OpenAI API →
Gemini APIModel providerVery long context and multimodal input, with a free tier to start.vs Mistral AI →vs OpenAI API →
GroqOpen models, hostedVery low-latency inference on open models, for real-time features.vs OpenAI API →
DeepSeekModel providerLow per-token prices on strong reasoning and coding models, with OpenAI- and Anthropic-format endpoints.vs Mistral AI →vs OpenAI API →
OpenRouterGateway (many providers, one API)Trying many models from many providers with one API key and one bill, without opening an account at each.
LiteLLMGateway (many providers, one API)Running your own OpenAI-compatible proxy in front of your own provider keys, with retries, routing and per-key budgets.