Devstral 2 2512 vs GPT-4.1 Nano
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Devstral 2 2512 and GPT-4.1 Nano.
Devstral 2 2512
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...
GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Technical Specifications
| Specification | Devstral 2 2512 | GPT-4.1 Nano |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context Window | 262,144 tokens | 1,047,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-12-09 | 2025-04-14 |
API Pricing Comparison
Input Price per Million Tokens
Devstral 2 2512
$0.40
GPT-4.1 Nano
$0.10
Output Price per Million Tokens
Devstral 2 2512
$2.00
GPT-4.1 Nano
$0.40
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Devstral 2 2512 Quirks & Gotchas
No developer gotchas reported.
GPT-4.1 Nano Quirks & Gotchas
No developer gotchas reported.