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Gemini 2.5 Pro vs Mistral Medium 3

Compare Google and Mistral AI AI models

Google
Gemini 2.5 Pro
vs
Mistral AI
Mistral Medium 3

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

Gemini 2.5 Pro

Per Request:$0.006250
Daily:$0.625
Monthly:$18.75
Yearly:$228.125

Mistral Medium 3

Per Request:$0.001400
Daily:$0.14
Monthly:$4.20
Yearly:$51.10

Cost Differences

$0.004850
Per Request
$0.485
Daily
$14.55
Monthly
$177.025
Yearly

Mistral Medium 3 costs less than Gemini 2.5 Pro

Feature Comparison

FeatureGemini 2.5 ProMistral Medium 3
ProviderGoogleMistral AI
Input Price$1.25/1M tokens$0.40/1M tokens
Output Price$10.00/1M tokens$2.00/1M tokens
Context Window2,000,000 tokens128,000 tokens
Max Output131,072 tokens16,384 tokens
Categoryflagshipbalanced
Capabilities
textvisionaudiovideocode
textcode
Release Date3/25/20255/7/2025

Gemini 2.5 Pro vs Mistral Medium 3: Which Should You Choose?

Choosing between Gemini 2.5 Pro and Mistral Medium 3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Medium 3 is the more affordable option at $0.40/1M input tokens68% cheaper than Gemini 2.5 Pro. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 128,000 for Mistral Medium 3.

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

These models target different tiers: Gemini 2.5 Pro is a flagship model while Mistral Medium 3 is balanced. This means they're optimized for different workloads. Gemini 2.5 Pro is built for complex tasks that require deeper reasoning, while Mistral Medium 3 offers better value for routine operations.

Output costs matter too. Gemini 2.5 Pro charges $10.00/1M output tokens vs $2.00 for Mistral Medium 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Medium 3 has the edge here at $2.00/1M output tokens.

Multimodal capabilities: Gemini 2.5 Pro supports vision (image inputs) while Mistral Medium 3 is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini 2.5 Pro when:

  • • You need a larger context window (2,000,000 tokens)
  • • You need more capabilities (vision, audio, video)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using Google's API ecosystem

Choose Mistral Medium 3 when:

  • • Budget is a primary concern
  • • You're already using Mistral AI's API ecosystem

Try Different Scenarios

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

Gemini 2.5 Pro (Google)

Mistral Medium 3 (Mistral AI)

Start using Gemini 2.5 Pro today

Sign Up for Google

Start using Mistral Medium 3 today

Sign Up for Mistral AI

Frequently Asked Questions

Which is cheaper, Gemini 2.5 Pro or Mistral Medium 3?
Mistral Medium 3 is cheaper for input tokens at $0.40 per million tokens vs $1.25 for Gemini 2.5 Pro — that's 68% savings on input costs.
What is the context window difference between Gemini 2.5 Pro and Mistral Medium 3?
Gemini 2.5 Pro supports 2,000,000 tokens while Mistral Medium 3 supports 128,000 tokens — a difference of 1,872,000 tokens in favor of Gemini 2.5 Pro.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Mistral Medium 3 is the lower-cost option, while Gemini 2.5 Pro offers a larger context window (2,000,000 vs 128,000 tokens). Choose Mistral Medium 3 for budget sensitivity or Gemini 2.5 Pro 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, Gemini 2.5 Pro costs about $18.75/month and Mistral Medium 3 costs about $4.20/month. Overall, Mistral Medium 3 has lower combined input + output rates ($0.40 in, $2.00 out) vs Gemini 2.5 Pro.

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