Devstral 2 vs GPT-5.4 mini
Devstral 2 vs GPT-5.4 mini: Devstral 2 is cheaper for input-heavy usage ($0.40/M vs $0.75/M input tokens), while GPT-5.4 mini is better for long-context tasks (1,050,000 tokens).
Direct answer: choose Devstral 2 for lower token spend and choose GPT-5.4 mini 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
GPT-5.4 mini
Cost Differences
GPT-5.4 mini costs more than Devstral 2
Quick Recommendation
Winner for direct API pricing: Devstral 2. At the default workload, Devstral 2 saves about $4.80/month ($58.40/year) versus GPT-5.4 mini.
Feature Comparison
| Feature | Devstral 2 | GPT-5.4 mini |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.40/1M tokens | $0.75/1M tokens |
| Output Price | $2.00/1M tokens | $4.50/1M tokens |
| Context Window | 262,144 tokens | 1,050,000 tokens |
| Max Output | 32,768 tokens | 65,536 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | textvisioncode |
| Release Date | 12/9/2025 | 3/6/2026 |
Devstral 2 vs GPT-5.4 mini: Which Should You Choose?
Choosing between Devstral 2 and GPT-5.4 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 — 47% cheaper than GPT-5.4 mini. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 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.
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: Devstral 2 would save you roughly $480.00/month compared to GPT-5.4 mini. For startups and indie developers, that difference can be significant.
Output costs matter too. Devstral 2 charges $2.00/1M output tokens vs $4.50 for GPT-5.4 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.
Multimodal capabilities: GPT-5.4 mini 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:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5.4 mini when:
- • You need a larger context window (1,050,000 tokens)
- • You need more capabilities (vision)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
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
- • Smaller context window than GPT-5.4 mini
GPT-5.4 mini
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher input cost than Devstral 2
- • Higher output cost than Devstral 2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Devstral 2 (Mistral AI)
GPT-5.4 mini (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Devstral 2 or GPT-5.4 mini?▼
What is the context window difference between Devstral 2 and GPT-5.4 mini?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Mistral AI and OpenAI API pricing beyond this model matchup?▼
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