OpenRouter
Catalog quote- Input
- $0.27
- Output
- $1.00
deepseekListed Sep 22, 2025
DeepSeek: DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
Context window163.8K
Max output147.5K
Provider endpoints5
Benchmark results0
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
5 quotesPrices across providers
Your token mix
USD · listed token ratesfeatherless-ai
via Hugging Face- Input
- —
- Output
- —
deepinfra
via Hugging Face- Input
- $0.27
- Output
- $0.95
- Input
- $0.27
- Output
- $1.00
- Input
- $0.3426
- Output
- $1.0284
Source discount 40%; rates as published
Model specifications
- Developer
- deepseek
- Modality
- Language
- Context
- 163,840 tokens
- Maximum output
- 147,456 tokens
- Weights
- Open weights
- Provider listed
- Sep 22, 2025
- First discovered
- Oct 16, 2026
Exact identities
- openrouter
deepseek/deepseek-v3.1-terminus - huggingface
deepseek-ai/DeepSeek-V3.1-Terminus
Sources
Updated Oct 19, 2026
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deepseekListed Sep 14
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This model always redirects to the latest model in the DeepSeek Flash family.
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deepseekListed Sep 10
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DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
1M contextImage inputTool callingNo reported score
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$0.05in$0.15out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4
deepseekReleased Sep 10
DeepSeek: DeepSeek V4.1 Flash
Causal encoder-decoder activates 8B parameters for input and 16B for output, reducing the compute needed for long inputs.
1M contextImage inputTool calling
$0.032in$0.08out/ 1M tokens · USDOpenInference · via OpenRouter · 45 endpointsopen-inference/fp4 · quantization=fp4