deepseek/deepseek-v3.1
DeepSeek V3.1
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Deepinfra | 163.8K | 128K | 758 ms | 11.5 t/s | 99.965% | $0.25 | $0.95 | |
Novita | 163.8K | 163.8K | — | — | 0.000% | $0.27 | $1 | |
Sambanova | 128K | 128K | — | — | 0.000% | $3 | $4.5 |
What can this model do?
Available modalities and capabilities across inference providers.
Technical profile
- Model type
- Language model
- Release date
- Aug 21, 2025
- Knowledge cutoff
- —
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
deepseek/deepseek-v3.1Related models
More options from the same creator or model category.
