Devstral 2 vs GPT-5.4 nano
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Devstral 2
GPT-5.4 nano
Cost Differences
GPT-5.4 nano costs less than Devstral 2
Feature Comparison
| Feature | Devstral 2 | GPT-5.4 nano |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.40/1M tokens | $0.20/1M tokens |
| Output Price | $2.00/1M tokens | $1.25/1M tokens |
| Context Window | 262,144 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | text |
| Release Date | 12/9/2025 | 3/6/2026 |
Devstral 2 vs GPT-5.4 nano: Which Should You Choose?
Choosing between Devstral 2 and GPT-5.4 nano depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.4 nano 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 128,000 for GPT-5.4 nano.
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.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: GPT-5.4 nano would save you roughly $172.50/month compared to Devstral 2. For startups and indie developers, that difference can be significant.
Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $1.25 for GPT-5.4 nano. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.4 nano has the edge here at $1.25/1M output tokens.
Best Use Cases
Choose Devstral 2 when:
- • You need a larger context window (262,144 tokens)
- • You need more capabilities (code)
- • 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 GPT-5.4 nano when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
GPT-5.4 nano (OpenAI)
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