Should you use DeepSeek V4 Pro?
DeepSeek V4 Pro is listed for chat workloads and supports a 1.0M context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
Open MoE flagship with million-token context for coding and long agent runs
https://api.llm7.io/v1 deepseek-v4-pro | Benchmark | Score | Metric | Date |
|---|---|---|---|
| SWE-Bench Verified | 80.6 | resolved | Not listed |
| Artificial Analysis Coding Agent Index | 50.1 | average pass@1 | Not listed |
| SWE-Atlas Codebase QnA | 67.8 | pass@1 | Not listed |
| SWE-Bench Pro | 18 | pass@1 | Not listed |
DeepSeek V4 Pro is listed for chat workloads and supports a 1.0M context window.
Use it when LLM7.io's free tier is enough for evaluation, demos, or light production traffic.
We only found this DeepSeek V4 Pro listing on LLM7.io in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | DeepSeek V4 Pro | Free tier | 1.0M | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| gpt-oss:20b | LLM7.io | 128K | Check provider |
| mistral-Nemo-Instruct-2407 | LLM7.io | 128K | Free tier |
| minimax-m2.7 | LLM7.io | 180K | Free tier |
| DeepSeek-V4-Flash-0731 | LLM7.io | 400K | Free tier |
| deepseek-r1-0528 | LLM7.io | 131K | Check provider |
DeepSeek V4 Pro is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
DeepSeek V4 Pro is listed with free API access on LLM7.io, subject to the provider's quota and account policy.
The model ID shown in this catalog is deepseek-v4-pro.
The listed context window is 1.0M tokens with up to 384K output tokens.
Free DeepSeek V4 Pro API.
For API keys, setup steps, and provider-level limits, see the LLM7.io provider page.