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Gemini Embedding 2 vs Mistral Small 4

Compare Google and Mistral AI AI models

Google
Gemini Embedding 2
vs
Mistral AI
Mistral Small 4

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

Gemini Embedding 2

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

Mistral Small 4

Per Request:$0.000450
Daily:$0.045
Monthly:$1.35
Yearly:$16.425

Cost Differences

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

Mistral Small 4 costs more than Gemini Embedding 2

Feature Comparison

FeatureGemini Embedding 2Mistral Small 4
ProviderGoogleMistral AI
Input Price$0.20/1M tokens$0.15/1M tokens
Output Price$0.20/1M tokens$0.60/1M tokens
Context Window8,192 tokens128,000 tokens
Max Output3,072 tokens16,384 tokens
Categoryembeddingefficient
Capabilities
textvisionaudiovideoembeddings
textvisioncodereasoning
Release Date3/10/20263/18/2026

Gemini Embedding 2 vs Mistral Small 4: Which Should You Choose?

Choosing between Gemini Embedding 2 and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. Gemini Embedding 2 is the more affordable option at $0.20/1M input tokens. Meanwhile, Mistral Small 4 offers a significantly larger context window at 128,000 tokens vs 8,192 for Gemini Embedding 2.

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 Embedding 2 is a embedding model while Mistral Small 4 is efficient. This means they're optimized for different workloads. Mistral Small 4 targets more demanding workloads, while Gemini Embedding 2 provides a cost-effective option for everyday tasks.

Output costs matter too. Gemini Embedding 2 charges $0.20/1M output tokens vs $0.60 for Mistral Small 4. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini Embedding 2 has the edge here at $0.20/1M 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 Gemini Embedding 2 when:

  • • You need more capabilities (audio, video, embeddings)
  • • You're already using Google's API ecosystem

Choose Mistral Small 4 when:

  • • Budget is a primary concern
  • • You need a larger context window (128,000 tokens)
  • • You need longer outputs (up to 16,384 tokens)
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Try Different Scenarios

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

Gemini Embedding 2 (Google)

Mistral Small 4 (Mistral AI)

Start using Gemini Embedding 2 today

Sign Up for Google

Start using Mistral Small 4 today

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Frequently Asked Questions

Which is cheaper, Gemini Embedding 2 or Mistral Small 4?
Gemini Embedding 2 is cheaper for input tokens at $0.20 per million tokens vs $0.15 for Mistral Small 4.
What is the context window difference between Gemini Embedding 2 and Mistral Small 4?
Gemini Embedding 2 supports 8,192 tokens while Mistral Small 4 supports 128,000 tokens — a difference of 119,808 tokens in favor of Mistral Small 4.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini Embedding 2 is the lower-cost option, while Mistral Small 4 offers a larger context window (128,000 vs 8,192 tokens). Choose Gemini Embedding 2 for budget sensitivity or Mistral Small 4 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 Embedding 2 costs about $0.90/month and Mistral Small 4 costs about $1.35/month. Overall, Gemini Embedding 2 has lower combined input + output rates ($0.20 in, $0.20 out) vs Mistral Small 4.

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