Devstral 2 vs o4-mini
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
o4-mini
Cost Differences
o4-mini costs more than Devstral 2
Feature Comparison
| Feature | Devstral 2 | o4-mini |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.40/1M tokens | $1.10/1M tokens |
| Output Price | $2.00/1M tokens | $4.40/1M tokens |
| Context Window | 262,144 tokens | 2,000,000 tokens |
| Max Output | 32,768 tokens | 131,072 tokens |
| Category | efficient | reasoning |
| Capabilities | textcode | textreasoningcode |
| Release Date | 12/9/2025 | 4/16/2025 |
Devstral 2 vs o4-mini: Which Should You Choose?
Choosing between Devstral 2 and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. Devstral 2 is the more affordable option at $0.40/1M input tokens — 64% cheaper than o4-mini. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 262,144 for Devstral 2.
These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Devstral 2 is a efficient model while o4-mini is reasoning. This means they're optimized for different workloads. o4-mini 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 $4.40 for o4-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Devstral 2 has the edge here at $2.00/1M output tokens.
Best Use Cases
Choose Devstral 2 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose o4-mini when:
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
o4-mini (OpenAI)
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