GPT-4o-mini is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
API cost decision in 10 seconds
🔥GPT-4o-mini vs Devstral 2 2512
Pick GPT-4o-mini for lower cost; pick Devstral 2 2512 only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GPT-4o-mini for lower cost; pick Devstral 2 2512 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.4 for Devstral 2 2512, saving $0.95 (67.9% lower).
Cost-first pickGPT-4o-mini
Context-first pickDevstral 2 2512
Sample savings$0.9567.9%
10x traffic gap$9.5
Devstral 2 2512 has more context, but GPT-4o-mini saves $0.95 on the standard workload. At 10x that traffic, the same price gap is about $9.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GPT-4o-mini stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-4o-mini | Devstral 2 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GPT-4o-mini | $1.05 | $3 |
| Balanced workload | 1M input + 1M output | GPT-4o-mini | $0.75 | $2.4 |
| Output-heavy chatbot | 1M input + 5M output | GPT-4o-mini | $3.15 | $10.4 |
GPT-4o-mini is $1.4 cheaper per 1M output tokens (70% lower; 3.33x difference).
Devstral 2 2512 has 134.14K more context (2.05x larger).
GPT-4o-mini is $0.95 cheaper on the standard workload (67.9% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
GPT-4o-mini has the lower input price; GPT-4o-mini has the lower output price; Devstral 2 2512 offers the larger context window. For the 1M input plus 500K output sample, GPT-4o-mini is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for GPT-4o-mini and $1.4 for Devstral 2 2512.
Choose GPT-4o-mini when you care most about lower input-token price, and lower output-token price.
Choose Devstral 2 2512 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.4 for Devstral 2 2512, saving $0.95 (67.9% lower).
- GPT-4o-mini is $0.95 cheaper on the standard workload (67.9% lower).
- GPT-4o-mini is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
- GPT-4o-mini is $1.4 cheaper per 1M output tokens (70% lower; 3.33x difference).
- Devstral 2 2512 has 134.14K more context (2.05x larger).
| Feature | 🔥GPT-4o-mini (OpenAI) | Devstral 2 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.4 |
| Completion Price per 1M tokens | $0.6 | $2 |
| Sample Workload Cost 1M input + 500K output | $0.45 | $1.4 |
| Context Window | 128K | 262.14K |
| Release Date | ||
| Popularity | #16 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GPT-4o-mini | On the standard 1M input plus 500K output workload, GPT-4o-mini is estimated at $0.45 vs $1.4 for Devstral 2 2512, saving $0.95 (67.9% lower). |
| High-volume input processing | GPT-4o-mini | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GPT-4o-mini | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Devstral 2 2512 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-4o-mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-4o-mini when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsOpenAI catalog
Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.
Open OpenAI modelsMistral catalog
Check other Mistral models with comparable pricing, context, or release timing.
Open Mistral modelsGPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
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...