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Model details

DeepSeek V4 Pro (New)

DeepSeek V4 Pro positions itself as a flagship reasoning model targeting cost-effective one-the cataloged API limit context workloads, appealing to applications that process large documents, codebases, or extended conversational histories where token costs compound quickly. The model belongs to the DeepSeek thinking family, reflecting its emphasis on structured reasoning and step-by-step problem solving rather than general chat behavior. Available as open weights, it gives developers the flexibility to inspect, fine-tune, or self-host the model, which distinguishes it from closed frontier alternatives and broadens its appeal for research and enterprise experimentation.

On OpenCode Go's global usage rankings, DeepSeek V4 Pro holds the second position with 3.3 trillion tokens processed, trailing only its sibling V4 Flash variant at 22 trillion tokens, demonstrating strong real-world adoption among developers running complex multi-step tasks. The model's pricing sits below frontier competitors, making it particularly attractive for agent workloads and large-scale inference pipelines where every token matters. Its combination of reasoning capability, tool calling support, structured output generation, and an exceptionally long context window makes it a practical fit for enterprise accounts consuming millions of tokens daily, as well as for teams building document analysis, codebase reasoning, or extended dialogue systems.

OpenCode Godeepseek-v4-prodeepseek-thinking

Quick Info

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Provider
OpenCode Go
Model key
deepseek-v4-pro
Release date
Apr 24, 2026
Last updated
Apr 24, 2026
Knowledge cutoff
2025-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.66
Output token cost
$1.98

Limits

Output tokens
384,000 tokens
Context window
1,000,000 tokens

Transparent token rates

Compare DeepSeek V4 Pro (New) pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about DeepSeek V4 Pro (New)

OpenCode Go

Coverage

DeepSeek has officially launched V4 Pro 0813, moving its 1.6-trillion-parameter flagship model out of preview and into general availability on the web app, mobile app, and API, with weights released under the MIT License and updated API documentation for developers migrating from the April preview build. The launch clo The 0813 release brings substantial agent capability gains: Terminal-Bench 2.1 rose from 72.1 to 87.9, CyberGym from 52.7 to 83.3, and DeepSWE from 12.8 to 62.7, alongside native OpenAI Responses API support with Codex integration out of the box. DeepSeek also open-sourced Harness, a plugin-based agent framework that r

OpenCode Go

CoveragePreview

DeepSeek V4 Pro exited its four-month preview period on August 12-13, 2026, in a release identified as V4 Pro 0813, its 1.6 trillion-parameter mixture-of-experts flagship moving to general availability. The updated weights produced sharp gains on agentic coding benchmarks compared with the April preview: DeepSWE rose f The GA release was notable for having no official DeepSeek announcement, blog post, or product page, surfacing instead via an OpenRouter listing and benchmark figures circulated in the DeepSeek WeChat group and subsequently reported by Simon Willison and Reddit's r/LocalLLaMA. V4 Pro 0813 represents the GA version of t

OpenCode Go

Coverage

DeepSeek officially released its V4-Pro model on August 13, 2026 as the general-availability build designated DeepSeek-V4-Pro-0813, ending a preview period that began with its April debut. According to the article, the GA release focuses on agent capabilities — tasks where AI systems use tools, execute code, and comple The same article details API-level updates accompanying the V4-Pro GA: the endpoint now works with the OpenAI Responses API format and includes built-in Codex integration, while thinking effort levels were expanded to three settings — low, high, and max — for both V4-Pro and V4-Flash. DeepSeek also announced a price in

OpenCode Go

CoverageBenchmark

On August 12, 2026, DeepSeek updated its official API pricing page to reflect a new version, DeepSeek-V4-Pro-0813, behind the deepseek-v4-pro endpoint, graduating the model from preview to general availability without a formal blog post or changelog entry. The article outlines the rollout chronology: the April 24 previ The article emphasizes that the benchmarks accompanying the GA were vendor-supplied, first circulated via DeepSeek's official WeChat group and later reproduced through a Reddit post, representing roughly 49.9 points of claimed gains that await independent verification. It also flags that DeepSeek's pricing page carries

OpenCode Go

CoverageBenchmark

Updated on: May 2, 2026

OpenCode Go

Coverage

DeepSeek-chat and deepseek-reasoner retire July 24, 2026. Step-by-step migration to deepseek-v4-pro and deepseek-v4-flash with code diffs.

OpenCode Go

CoverageBenchmark

Choose the right model with our head-to-head comparison of DeepSeek V4 and OpenAI's GPT-5.5 across benchmarks, pricing, and long-context performance.

OpenCode Go

Official sourceBenchmark

The OpenCode Go global rankings page, updated August 4, 2026, places deepseek-v4-pro at #2 with 3.3T tokens, trending down 19% over the tracked window, behind deepseek-v4-flash at 22T (+93%). Other tracked peers include Xiaomi's mimo-v2.5 at 1.3T (+22%), OpenAI's gpt-5.6-luna at 660B (new entry), and Zhipu's glm-5.2 at Aggregate daily token volume across OpenCode Go trended from about 2.4T in mid-June to a peak of 6.1T on August 3, before easing to 5.8T on August 4. DeepSeek models collectively dominate the leaderboard, with both V4-Flash and V4-Pro in the top two slots and significant gaps over third place, while models like kimi-k3

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