How Makers Build
Check my stackPlan my stack
Menu

Gemini API vs Mistral AI

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.

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

Which fits you

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

Use it whenYou feed in whole documents, video or audio, or want to start without paying.

Trade-offFree-tier prompts may be used to improve Google's products, so paid tier is the one for user data.

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.

At a glance

Gemini APIMistral AI
Used by99 makers' products · 227 open-source projects15 makers' products · 69 open-source projects
Cost at default usageinput tokens 50 million tokens, output tokens 10 million tokens$28/mo Gemini 3.1 Flash-Lite$6.00/mo Ministral 3 (3B)
Moved to it on GitHubpull requests since Oct 20246 from Mistral AI6 from Gemini API
Downloads19.2M/wk6.5× vs npm7.1M/wk6× vs npm
PricingFree tier with rate limits; pay per token. · paid from Pay per tokenPay per token; the free plan includes $10/mo in API credits to test models in Mistral Studio. · paid from Pay per token
Free tierYesYes
Open sourceNoNo

Cost as you grow

At 1M tokens Mistral AI costs less ($0.12 vs $0.55); and still does at 5B tokens ($600 vs $2,750).

$0$100$500$1,000$2,0001510501005001k5k
Mistral AIGemini APIx: 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 monthGemini APIMistral AI
1$0.55 Gemini 3.1 Flash-Lite$0.12 Ministral 3 (3B)
5$2.75 Gemini 3.1 Flash-Lite$0.60 Ministral 3 (3B)
10$5.50 Gemini 3.1 Flash-Lite$1.20 Ministral 3 (3B)
50$28 Gemini 3.1 Flash-Lite$6.00 Ministral 3 (3B)
100$55 Gemini 3.1 Flash-Lite$12 Ministral 3 (3B)
500$275 Gemini 3.1 Flash-Lite$60 Ministral 3 (3B)
1,000$550 Gemini 3.1 Flash-Lite$120 Ministral 3 (3B)
5,000$2,750 Gemini 3.1 Flash-Lite$600 Ministral 3 (3B)

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

Who moves from one to the other

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

Mistral AI → Gemini API6 PRs
All matching pull requests on GitHub ↗
Gemini API → Mistral AI6 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 Gemini API
Powers all agent conversations on Konfide. Fast, cost-effective, handles unlimited concurrent chats. Every user message goes through Gemini. Chose it for speed and quality at scale.
Konfide, the makerSep 2026 ↗
Gemini gives us another strong option for routing complex tasks. Fast response times and competitive pricing mean we can offer our customers more flexibility in how their automations run.
Logic, Inc., the makerSep 2026 ↗
Saturn uses Gemini for structured data extraction from Japanese government filings (EDINET, gBizINFO). Best cost-performance ratio for Japanese language processing at scale.
Saturn, the makerSep 2026 ↗
67 more on the Gemini API page →
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 →

Loved and watch-outs

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

Gemini API
Most loved
  • It offers some of the best price-to-performance, with fast, cheap Flash models. PHPH 2PH 3PH 4
  • A context window of a million tokens or more handles whole codebases and long documents without extra pipelines. PHPH 2PH 3PH 4
  • Native multimodal input covers video, screenshots and audio. PHPH 2PH 3PH 4
Watch-outs
  • Getting an API key and paying is confusing, with usage tiers and Google Cloud console hoops. HNHN 2HN 3HN 4
  • Models are deprecated abruptly, some without leaving preview or having a replacement. HNHN 2HN 3HN 4
  • Pricing docs are unclear, and new models sometimes launch without listed prices. HNHN 2
On Product Hunt: 4.9★, 167 reviews · mentioned most: fast performance, multimodal capabilities, Google integration · complaints: inconsistent data, hallucinations
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

Who uses each

Gemini API99 makers' products
1752vc Pitch Deck Analyzer8baseAccorataAgentplace.ioAppear on AIAskiva AIAsmi AIAutomaticallBookmarkjar ®BriefyBuilt for DevsCiro+87 more
Mistral AI15 makers' products
Internet.ioKuration AIMeetMinutesOfficely AIOmnifactPodpodRankfenderShipable AI by CNTXT AITalespinnerGroReferentOpenSauced+3 more
Used by both — often one replacing the other, or each for a different part of the product
GroOmnifact

What makers pair each with

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

Neither quite right?

See the whole LLM API decision →
OpenAI APIModel providerThe broadest model lineup — text, images, speech, embeddings — and the largest ecosystem.vs Gemini API →vs Mistral AI →
ClaudeModel providerCoding, long documents and agent-style tool use.vs Gemini API →vs Mistral AI →
GroqOpen models, hostedVery low-latency inference on open models, for real-time features.vs Gemini API →
DeepSeekModel providerLow per-token prices on strong reasoning and coding models, with OpenAI- and Anthropic-format endpoints.vs Gemini API →vs Mistral AI →
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.