Codestral vs Gemini Embedding 2
Codestral vs Gemini Embedding 2: Gemini Embedding 2 is cheaper for input-heavy usage ($0.20/M vs $0.30/M input tokens), while Codestral is better for long-context tasks (128,000 tokens).
Direct answer: choose Gemini Embedding 2 for lower token spend and choose Codestral 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Codestral
Gemini Embedding 2
Cost Differences
Gemini Embedding 2 costs less than Codestral
Quick Recommendation
Winner for direct API pricing: Gemini Embedding 2. At the default workload, Gemini Embedding 2 saves about $1.35/month ($16.425/year) versus Codestral.
Feature Comparison
| Feature | Codestral | Gemini Embedding 2 |
|---|---|---|
| Provider | Mistral AI | |
| Input Price | $0.30/1M tokens | $0.20/1M tokens |
| Output Price | $0.90/1M tokens | $0.20/1M tokens |
| Context Window | 128,000 tokens | 8,192 tokens |
| Max Output | 32,768 tokens | 3,072 tokens |
| Category | balanced | embedding |
| Capabilities | textcode | textvisionaudiovideoembeddings |
| Release Date | 7/30/2025 | 3/10/2026 |
Codestral vs Gemini Embedding 2: Which Should You Choose?
Choosing between Codestral and Gemini Embedding 2 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 — 33% cheaper than Codestral. Meanwhile, Codestral offers a significantly larger context window at 128,000 tokens vs 8,192 for Gemini Embedding 2.
These models come from different providers — Mistral AI and Google — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to Googleinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Codestral is a balanced model while Gemini Embedding 2 is embedding. This means they're optimized for different workloads. Gemini Embedding 2 targets more demanding workloads, while Codestral provides a cost-effective option for everyday tasks.
Output costs matter too. Codestral charges $0.90/1M output tokens vs $0.20 for Gemini Embedding 2. 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 Codestral is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Codestral when:
- • You need a larger context window (128,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
Choose Gemini Embedding 2 when:
- • Budget is a primary concern
- • You need more capabilities (vision, audio, video, embeddings)
- • You're already using Google's API ecosystem
Pros and Caveats at a Glance
Codestral
- • Input pricing: $0.30/M tokens
- • Output pricing: $0.90/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Gemini Embedding 2
- • Higher output cost than Gemini Embedding 2
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
- • Smaller context window than Codestral
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Codestral (Mistral AI)
Gemini Embedding 2 (Google)
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Which is cheaper, Codestral or Gemini Embedding 2?▼
What is the context window difference between Codestral and Gemini Embedding 2?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Mistral AI and Google API pricing beyond this model matchup?▼
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