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GPT-4.1 nano vs Ministral 3 3B

GPT-4.1 nano vs Ministral 3 3B: GPT-4.1 nano is cheaper for input-heavy usage ($0.10/M vs $0.10/M input tokens), while Ministral 3 3B is better for long-context tasks (256,000 tokens).

Direct answer: choose GPT-4.1 nano for lower token spend and choose Ministral 3 3B when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

OpenAI
GPT-4.1 nano
vs
Mistral AI
Ministral 3 3B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-4.1 nano

Per Request:$0.000300
Daily:$0.03
Monthly:$0.90
Yearly:$10.95

Ministral 3 3B

Per Request:$0.000150
Daily:$0.015
Monthly:$0.45
Yearly:$5.475

Cost Differences

$0.000150
Per Request
$0.015
Daily
$0.45
Monthly
$5.475
Yearly

Ministral 3 3B costs less than GPT-4.1 nano

Quick Recommendation

Winner for direct API pricing: Ministral 3 3B. At the default workload, Ministral 3 3B saves about $0.45/month ($5.475/year) versus GPT-4.1 nano.

Feature Comparison

FeatureGPT-4.1 nanoMinistral 3 3B
ProviderOpenAIMistral AI
Input Price$0.10/1M tokens$0.10/1M tokens
Output Price$0.40/1M tokens$0.10/1M tokens
Context Window128,000 tokens256,000 tokens
Max Output8,192 tokens32,768 tokens
Categoryefficientefficient
Capabilities
text
textvision
Release Date4/14/202512/2/2025

GPT-4.1 nano vs Ministral 3 3B: Which Should You Choose?

Choosing between GPT-4.1 nano and Ministral 3 3B depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 3B is the more affordable option at $0.10/1M input tokens. Meanwhile, Ministral 3 3B offers a significantly larger context window at 256,000 tokens vs 128,000 for GPT-4.1 nano.

These models come from different providers — OpenAI and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Ministral 3 3B would save you roughly $45.00/month compared to GPT-4.1 nano. For startups and indie developers, that difference can be significant.

Output costs matter too. GPT-4.1 nano charges $0.40/1M output tokens vs $0.10 for Ministral 3 3B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Ministral 3 3B has the edge here at $0.10/1M output tokens.

Multimodal capabilities: Ministral 3 3B supports vision (image inputs) while GPT-4.1 nano is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose GPT-4.1 nano when:

  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Ministral 3 3B when:

  • • You need a larger context window (256,000 tokens)
  • • You need more capabilities (vision)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

GPT-4.1 nano

  • Input pricing: $0.10/M tokens
  • Output pricing: $0.40/M tokens
  • Context window: 128,000 tokens
  • Max output: 8,192 tokens

Watch out for

  • Higher output cost than Ministral 3 3B
  • Smaller context window than Ministral 3 3B

Ministral 3 3B

  • Input pricing: $0.10/M tokens
  • Output pricing: $0.10/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-4.1 nano (OpenAI)

Ministral 3 3B (Mistral AI)

Start using GPT-4.1 nano today

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Start using Ministral 3 3B today

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Frequently Asked Questions

Which is cheaper, GPT-4.1 nano or Ministral 3 3B?
Ministral 3 3B is cheaper for input tokens at $0.10 per million tokens vs $0.10 for GPT-4.1 nano.
What is the context window difference between GPT-4.1 nano and Ministral 3 3B?
GPT-4.1 nano supports 128,000 tokens while Ministral 3 3B supports 256,000 tokens — a difference of 128,000 tokens in favor of Ministral 3 3B.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Ministral 3 3B is the lower-cost option, while Ministral 3 3B offers a larger context window (256,000 vs 128,000 tokens). Choose Ministral 3 3B for budget sensitivity or Ministral 3 3B for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-4.1 nano costs about $0.90/month and Ministral 3 3B costs about $0.45/month. Overall, Ministral 3 3B has lower combined input + output rates ($0.10 in, $0.10 out) vs GPT-4.1 nano.
Where can I compare OpenAI and Mistral AI API pricing beyond this model matchup?
See the OpenAI vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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