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Favicon for deepseek

DeepSeek: DeepSeek V3.1

deepseek/deepseek-chat-v3.1

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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(opens in new tab)

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 model and performs well on a variety of tasks.

Modalities

In / Out Price

$0.25 / $0.95per 1M

Context

164K

Released

Aug 21, 2025

Knowledge Cutoff

Mar 2025

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

About DeepSeek: DeepSeek V3.1

OpenRouter makes DeepSeek: DeepSeek V3.1 available through a unified, OpenAI-compatible API using the model ID deepseek/deepseek-chat-v3.1. Requests can be routed across 8 providers, including DeepInfra, NovitaAI, SiliconFlow, AtlasCloud, CoreWeave, Google Vertex, MARA and SambaNova, with automatic failover when an endpoint is unavailable.

DeepSeek: DeepSeek V3.1 accepts text and returns text. It has a 163,840-token context window and a maximum output of 32,768 tokens.

On OpenRouter, DeepSeek: DeepSeek V3.1 costs $0.25/M input tokens and $0.95/M output tokens, with separate rates for Cache Read at $0.13/M tokens. Effective pricing can be lower when prompt caching applies. It was released on August 21, 2025; its knowledge cutoff is March 31, 2025.

More models from DeepSeek

  • DeepSeek V4 Pro 0813
  • DeepSeek V4 Flash 0731
  • DeepSeek V4 Pro 0423

Frequently asked questions

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.

DeepSeek V3.1 costs $0.25/M input tokens and $0.95/M output tokens, with separate rates for Cache Read at $0.13/M tokens.

DeepSeek V3.1 has a 163,840 token context window. It supports up to 32,768 completion tokens.

Yes. DeepSeek V3.1 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

DeepSeek V3.1 is served by 8 providers on OpenRouter: DeepInfra, NovitaAI, SiliconFlow, AtlasCloud, CoreWeave, Google Vertex, MARA and SambaNova. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

DeepSeek V3.1 was released on August 21, 2025. Its knowledge cutoff is March 31, 2025.

$0.25$0.95$0.130.82s11 tps
98.73%
$0.27$1.00$0.1351.76s24 tps
99.99%
$0.27$1.00--1.74s12 tps
97.91%
$0.30$0.95$0.131.43s39 tps
99.45%
$0.55$1.65$0.550.35s49 tps
99.96%
$0.60$1.70--1.19s86 tps
97.98%
$0.65$1.50--1.45s34 tps
86.48%
$0.60$1.70--1.87s99 tps
45.54%

Throughput

99tok/s

P50, best across providers

Latency

0.35s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
AtlasCloud
79.9%--
NovitaAI
81.6%71.5%
MARA
73.9%--
SambaNova
69.2%--
auto-routing
75.6%56.9%
+5 more providers
Uptime (3d)

100.00%

Availability (3d)

99.64%

Availability over the last 3 days

Last 72 hours
Availability 99.64%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.28%
Without Routing
90.56%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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