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DeepSeek-V3.1

Overview

Overview

DeepSeek-V3.1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. Built on DeepSeek-V3.1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated. Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations. The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.

DeepSeek-V3.1 was released on January 10, 2025. API access is available through DeepInfra, Novita.

Performance

Timeline

ReleasedUnknown
Knowledge CutoffUnknown

Specifications

Parameters
671.0B
License
MIT
Training Data
Unknown

Benchmarks

Benchmarks

DeepSeek-V3.1 Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Thu Feb 12 2026
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Pricing

Pricing

Pricing, performance, and capabilities for DeepSeek-V3.1 across different providers:

ProviderInput ($/M)Output ($/M)Max InputMax OutputLatency (s)ThroughputQuantizationInputOutput
DeepInfra logo
DeepInfraint4
$0.27$1.00163.8K163.8K
int4
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Novita logo
Novitafp8
$0.27$1.00163.8K163.8K
fp8
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Price Comparison for DeepSeek-V3.1

Price per 1M input tokens (USD), lower is better

LLM Stats Logollm-stats.com - Thu Feb 12 2026
No data available
No data available

API Access

API Access Coming Soon

API access for DeepSeek-V3.1 will be available soon through our gateway.

Recent Posts

Recent Reviews

FAQ

Common questions about DeepSeek-V3.1

DeepSeek-V3.1 was released on January 10, 2025 by DeepSeek.
DeepSeek-V3.1 was created by DeepSeek.
DeepSeek-V3.1 has 671.0 billion parameters.
DeepSeek-V3.1 is released under the MIT license. This is an open-source/open-weight license.