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Gemini Embedding 2 vs Voxtral Small

Pricing verdict: Gemini Embedding 2 vs Voxtral Small: Voxtral Small is cheaper for input-heavy usage ($0.10/M vs $0.20/M input tokens), while Voxtral Small is better for long-context tasks (32,000 tokens).

Direct answer: choose Voxtral Small for lower token spend and choose Voxtral Small when your workload needs longer context.

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

Google
Gemini Embedding 2
vs
Mistral AI
Voxtral Small

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

Voxtral Small

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

Cost Differences

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $0.90/month. Pick Voxtral Small if you need the larger 32K context window; otherwise choose the model that better fits your workflow.

Feature Comparison

FeatureGemini Embedding 2Voxtral Small
ProviderGoogleMistral AI
Input Price$0.20/1M tokens$0.10/1M tokens
Output Price$0.20/1M tokens$0.40/1M tokens
Context Window8,192 tokens32,000 tokens
Max Output3,072 tokens8,192 tokens
Categoryembeddingefficient
Capabilities
textvisionaudiovideoembeddings
textaudiotranscription
Release Date3/10/20267/15/2026

Gemini Embedding 2 vs Voxtral Small: Which Should You Choose?

Choosing between Gemini Embedding 2 and Voxtral Small depends on your priorities: cost efficiency, context length, or raw capability. Voxtral Small is the more affordable option at $0.10/1M input tokens — 50% cheaper than Gemini Embedding 2. Meanwhile, Voxtral Small offers a significantly larger context window at 32,000 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 Voxtral Small is efficient. This means they're optimized for different workloads. Voxtral Small 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 $0.40 for Voxtral Small. 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: Gemini Embedding 2 supports vision (image inputs) while Voxtral Small is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini Embedding 2 when:

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

Choose Voxtral Small when:

  • • Budget is a primary concern
  • • You need a larger context window (32,000 tokens)
  • • You need longer outputs (up to 8,192 tokens)
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Gemini Embedding 2

  • Input pricing: $0.20/M tokens
  • Output pricing: $0.20/M tokens
  • Context window: 8,192 tokens
  • Max output: 3,072 tokens

Watch out for

  • Higher input cost than Voxtral Small
  • Smaller context window than Voxtral Small

Voxtral Small

  • Input pricing: $0.10/M tokens
  • Output pricing: $0.40/M tokens
  • Context window: 32,000 tokens
  • Max output: 8,192 tokens

Watch out for

  • Higher output cost than Gemini Embedding 2

Try Different Scenarios

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

Gemini Embedding 2 (Google)

Voxtral Small (Mistral AI)

Start using Gemini Embedding 2 today

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Start using Voxtral Small today

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Frequently Asked Questions

Which is cheaper, Gemini Embedding 2 or Voxtral Small?
Voxtral Small is cheaper for input tokens at $0.10 per million tokens vs $0.20 for Gemini Embedding 2 — that's 50% savings on input costs.
What is the context window difference between Gemini Embedding 2 and Voxtral Small?
Gemini Embedding 2 supports 8,192 tokens while Voxtral Small supports 32,000 tokens — a difference of 23,808 tokens in favor of Voxtral Small.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini Embedding 2 is the lower-cost option, while Voxtral Small offers a larger context window (32,000 vs 8,192 tokens). Choose Gemini Embedding 2 for budget sensitivity or Voxtral Small 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, both models land at about $0.90/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.
Where can I compare Google and Mistral AI API pricing beyond this model matchup?
See the Google vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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