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GPT-4.1 mini vs Mistral Medium 3.5

GPT-4.1 mini vs Mistral Medium 3.5: GPT-4.1 mini is cheaper for input-heavy usage ($0.40/M vs $1.50/M input tokens), while Mistral Medium 3.5 is better for long-context tasks (256,000 tokens).

Direct answer: choose GPT-4.1 mini for lower token spend and choose Mistral Medium 3.5 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 mini
vs
Mistral AI
Mistral Medium 3.5

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

GPT-4.1 mini

Per Request:$0.001200
Daily:$0.12
Monthly:$3.60
Yearly:$43.80

Mistral Medium 3.5

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

+$0.004050
Per Request
+$0.405
Daily
+$12.15
Monthly
+$147.825
Yearly

Mistral Medium 3.5 costs more than GPT-4.1 mini

Quick Recommendation

Winner for direct API pricing: GPT-4.1 mini. At the default workload, GPT-4.1 mini saves about $12.15/month ($147.825/year) versus Mistral Medium 3.5.

Feature Comparison

FeatureGPT-4.1 miniMistral Medium 3.5
ProviderOpenAIMistral AI
Input Price$0.40/1M tokens$1.50/1M tokens
Output Price$1.60/1M tokens$7.50/1M tokens
Context Window200,000 tokens256,000 tokens
Max Output16,384 tokens32,768 tokens
Categoryefficientflagship
Capabilities
textvisioncode
textvisioncodereasoning
Release Date4/14/20254/29/2026

GPT-4.1 mini vs Mistral Medium 3.5: Which Should You Choose?

Choosing between GPT-4.1 mini and Mistral Medium 3.5 depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 mini is the more affordable option at $0.40/1M input tokens73% cheaper than Mistral Medium 3.5. Meanwhile, Mistral Medium 3.5 offers a significantly larger context window at 256,000 tokens vs 200,000 for GPT-4.1 mini.

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.

These models target different tiers: GPT-4.1 mini is a efficient model while Mistral Medium 3.5 is flagship. This means they're optimized for different workloads. Mistral Medium 3.5 targets more demanding workloads, while GPT-4.1 mini provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-4.1 mini charges $1.60/1M output tokens vs $7.50 for Mistral Medium 3.5. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4.1 mini has the edge here at $1.60/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose GPT-4.1 mini when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Mistral Medium 3.5 when:

  • • You need a larger context window (256,000 tokens)
  • • You need more capabilities (reasoning)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

GPT-4.1 mini

  • Input pricing: $0.40/M tokens
  • Output pricing: $1.60/M tokens
  • Context window: 200,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Smaller context window than Mistral Medium 3.5

Mistral Medium 3.5

  • Input pricing: $1.50/M tokens
  • Output pricing: $7.50/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than GPT-4.1 mini
  • Higher output cost than GPT-4.1 mini

Try Different Scenarios

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

GPT-4.1 mini (OpenAI)

Mistral Medium 3.5 (Mistral AI)

Start using GPT-4.1 mini today

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Start using Mistral Medium 3.5 today

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Frequently Asked Questions

Which is cheaper, GPT-4.1 mini or Mistral Medium 3.5?
GPT-4.1 mini is cheaper for input tokens at $0.40 per million tokens vs $1.50 for Mistral Medium 3.5 — that's 73% savings on input costs.
What is the context window difference between GPT-4.1 mini and Mistral Medium 3.5?
GPT-4.1 mini supports 200,000 tokens while Mistral Medium 3.5 supports 256,000 tokens — a difference of 56,000 tokens in favor of Mistral Medium 3.5.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-4.1 mini is the lower-cost option, while Mistral Medium 3.5 offers a larger context window (256,000 vs 200,000 tokens). Choose GPT-4.1 mini for budget sensitivity or Mistral Medium 3.5 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 mini costs about $3.60/month and Mistral Medium 3.5 costs about $15.75/month. Overall, GPT-4.1 mini has lower combined input + output rates ($0.40 in, $1.60 out) vs Mistral Medium 3.5.
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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