DeepSeek V3.1

DeepSeek V3.1 by DeepSeek excels in the Coding category, where it ranks #119 with a composite score of 74/100. DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config) The model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. It succeeds the [DeepSeek V3-0324](/deepseek/deepseek-chat-v3-0324) model and performs well on a variety of tasks. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

DeepSeek V3.1 is priced at $0.15 per million input tokens and $0.75 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, DeepSeek V3.1 holds rank #119 out of 6 models tracked. Its quality rank is #119 and adoption rank is #119. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

DeepSeek V3.1 has been evaluated across 6 different signals. Its strongest areas include Capabilities (67/100), Benchmarks (69/100), Pricing (1/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 74/100 reflects a weighted combination of all tracked signals.

DeepSeek V3.1 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check DeepSeek's website for current free tier availability and promotional offers.