Devstral 2 vs Gemini Embedding 2
Devstral 2 vs Gemini Embedding 2: Gemini Embedding 2 is cheaper for input-heavy usage ($0.20/M vs $0.40/M input tokens), while Devstral 2 is better for long-context tasks (262,144 tokens).
Direct answer: choose Gemini Embedding 2 for lower token spend and choose Devstral 2 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)
Devstral 2
Gemini Embedding 2
Cost Differences
Gemini Embedding 2 costs less than Devstral 2
Quick Recommendation
Winner for direct API pricing: Gemini Embedding 2. At the default workload, Gemini Embedding 2 saves about $3.30/month ($40.15/year) versus 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
Pros and Caveats at a Glance
Devstral 2
- • Input pricing: $0.40/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 262,144 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 Devstral 2
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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Which is cheaper, Devstral 2 or Gemini Embedding 2?▼
What is the context window difference between Devstral 2 and Gemini Embedding 2?▼
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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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