Devstral 2 vs Gemini Embedding 2
Compare Mistral AI and Google AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
Gemini Embedding 2
Cost Differences
Gemini Embedding 2 costs less than Devstral 2
Feature Comparison
| Feature | Devstral 2 | Gemini Embedding 2 |
|---|---|---|
| Provider | Mistral AI | |
| Input Price | $0.40/1M tokens | $0.20/1M tokens |
| Output Price | $2.00/1M tokens | $0.20/1M tokens |
| Context Window | 262,144 tokens | 8,192 tokens |
| Max Output | 32,768 tokens | 3,072 tokens |
| Category | efficient | embedding |
| Capabilities | textcode | textvisionaudiovideoembeddings |
| Release Date | 12/9/2025 | 3/10/2026 |
Devstral 2 vs Gemini Embedding 2: Which Should You Choose?
Choosing between Devstral 2 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 — 50% cheaper than Devstral 2. Meanwhile, Devstral 2 offers a significantly larger context window at 262,144 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: Devstral 2 is a efficient model while Gemini Embedding 2 is embedding. This means they're optimized for different workloads. Gemini Embedding 2 targets more demanding workloads, while Devstral 2 provides a cost-effective option for everyday tasks.
Output costs matter too. Devstral 2 charges $2.00/1M 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 Devstral 2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Devstral 2 when:
- • You need a larger context window (262,144 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
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
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
Gemini Embedding 2 (Google)
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