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Favicon for deepseek

DeepSeek: DeepSeek V4 Flash 0731

deepseek/deepseek-v4-flash-0731

Model weights
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DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. This is the GA release of DeepSeek V4 Flash.

Modalities

In / Out Price

64% off

$0.04998 / $0.09996per 1M

Context

1M

Released

Jul 31, 2026

Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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.

Explore more models

AI Model RankingsRanking
64% off
$0.14$0.04998$0.28$0.09996$0.028$0.0099960.73s126 tps
99.69%
$0.05$0.16$0.0130.65s18 tps
99.85%
$0.065$0.18$0.0160.61s150 tps
99.89%
$0.065$0.18$0.020.88s40 tps
99.88%
$0.065$0.18$0.0160.75s34 tps
96.48%
$0.08$0.252$0.02520.53s39 tps
99.95%
$0.08$0.18$0.0160.68s34 tps
99.78%
80% off
$0.44$0.088$1.32$0.264$0.014$0.00281.37s118 tps
99.96%
$0.09$0.195$0.01960.49s137 tps
99.53%
$0.10$0.25$0.050.59s163 tps
99.60%
$0.11$0.66$0.0070.80s100 tps
99.86%
$0.1234$0.3475$0.031250.85s51 tps
80.74%
$0.13$0.26$0.0281.15s41 tps
94.06%
$0.13$0.26$0.0281.04s36 tps
91.65%
$0.13$0.28$0.030.59s77 tps
99.84%
$0.13$0.28$0.070.52s119 tps
99.97%
$0.14$0.28$0.030.71s42 tps
99.82%
$0.14$0.28$0.050.75s41 tps
99.89%
$0.175$0.35$0.0351.00s49 tps
95.79%
$0.175$0.50--0.75s37 tps
98.19%
$0.22$0.66$0.0070.96s88 tps
93.26%
$0.22$0.66$0.0281.43s76 tps
99.86%
$0.22$0.66$0.0070.93s86 tps
100.00%
$0.352$1.056$0.03521.53s61 tps
99.98%
$0.40$1.20$0.012.00s50 tps
99.87%
7% off
$0.44$0.4092$1.32$1.228$0.028$0.026041.61s74 tps
100.00%
$0.44$1.32$0.0280.54s54 tps
97.54%
$0.44$1.32$0.0281.86s52 tps
99.94%
$0.44$1.32$0.0141.96s50 tps
100.00%
20% off
$0.44$0.352$1.32$1.056$0.014$0.01121.85s100 tps
79.28%

Throughput

163tok/s

P50, best across providers

Latency

0.49s

P50, best provider

AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Baseten
90.4%--
Fireworks
88.4%--
Baseten
87.9%--
DeepSeek
90.2%81.3%
NextBit
89.4%76.6%
Alibaba Cloud Int.
88.7%76.8%
+30 more providers
Uptime (3d)

100.00%

Availability (3d)

99.69%

Availability over the last 3 days

Last 72 hours
Availability 99.69%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.66%
Without Routing
90.65%

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.

1.
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Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
9.79Ttokens
2.
Favicon for https://cline.bot/
Cline
Cline is an open-source AI coding agent that lives inside your IDE, autonomously exploring your codebase, editing files, running terminal commands, and using browser automation.
3.91Ttokens
3.
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pi
There are many coding agents, but this one is yours.
1.2Ttokens
4.
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omp
new
781Btokens
5.
Favicon for https://github.com/deepseek-ai/deepseek-harness
DeepSeek Harness
new
552Btokens

Frequently asked questions

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows. This is the GA release of DeepSeek V4 Flash.

DeepSeek V4 Flash 0731 costs $0.04998/M input tokens and $0.09996/M output tokens, with separate rates for Cache Read at $0.009996/M tokens.

DeepSeek V4 Flash 0731 has a 1,310,720 token context window. It supports up to 131,072 completion tokens.

Yes. DeepSeek V4 Flash 0731 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

DeepSeek V4 Flash 0731 is served by 29 providers on OpenRouter: Baidu Qianfan, OpenInference, Relace, Sail Research, AkashML, DigitalOcean, DeepInfra, StreamLake and 21 more. 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 V4 Flash 0731 was released on July 31, 2026.