99MODELS

ଡିପସିକ୍ V4 ପ୍ରୋ 0813

ନୂଆ

GA release of DeepSeek V4 Pro; large-scale MoE for hard reasoning.

ରିଲିଜ୍ ତାରିଖ ଅଗଷ୍ଟ 12, 2026

380.16

ପ୍ରତି 10 ଲକ୍ଷ output Tokens

Input: ପ୍ରତି 10 ଲକ୍ଷ Tokens ପାଇଁ ₹126.72

0% ମାର୍କଅପ୍ ସହିତ ₹96 ପ୍ରତି US ଡଲାର ହିସାବରେ ପ୍ରୋଭାଇଡର୍ ରେଟ୍ ରେ ବିଲ୍ କରାଯାଇଛି।

ସ୍ପେସିଫିକେସନ୍

Context window
10,48,576 Tokens
ସର୍ବାଧିକ Output
9,43,718 Tokens
ଗ୍ରହଣ କରେ
ଟେକ୍ସଟ୍
Reasoning
ଡିଫଲ୍ଟ ଭାବରେ On
Effort ସ୍ତର
low, high, max
Tool ବ୍ୟବହାର
ହଁ
Structured output
ହଁ
Code execution
ନାହିଁ
Intelligence rank
54 ମଧ୍ୟରୁ #31

ମୂଲ୍ୟ

ମୂଲ୍ୟ
ପ୍ରତି 10 ଲକ୍ଷ TokensINRUSD
Input126.72$1.32
Output380.16$3.96
Cached input12.67$0.13

Benchmarks

ରେଟିଂ ଭାବେ ଚିହ୍ନିତ ନ ହେଲେ ସ୍କୋରଗୁଡ଼ିକ ପ୍ରତିଶତ ଅଟେ। ସମସ୍ତ benchmark ସ୍ୱତନ୍ତ୍ର ଭାବରେ ମପାଯାଇଛି।

  • 88.9%

    GPQA Diamond

    GPQA Diamond - graduate-level science Q&A

  • 61.3%

    ARC-AGI-2

    ARC-AGI-2 - abstract reasoning on novel puzzles

  • 1582

    WebDev Arena

    WebDev Arena - head-to-head web-app builds, Elo rating

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 ବିଷୟରେ

The flagship of the DeepSeek V4 series: a Mixture-of-Experts model with 1.6T total and 49B activated parameters over a one-million-token context, using the same hybrid attention design as V4 Flash. It is trained with the Muon optimiser for stability and served in mixed FP4 and FP8 precision. DeepSeek positions its maximum thinking configuration as the best open-source model available for coding, reasoning and agentic tasks.

The 0813 build is the general-availability V4-Pro, shipped to the app, the web experience and the API on the same day and reachable in the chat products through Expert Mode. DeepSeek leads on agent capability rather than on raw exam scores, and says the improvement is most visible in production rather than on a leaderboard - the argument being that a model which finishes long tool-driven jobs matters more than one that peaks on a single-shot question.

The numbers the lab published for this checkpoint are its highest across the V4 line: 42.7 on Humanity's Last Exam without tools and 60.0 with them, 87.9 on Terminal Bench 2.1, 61.5 on NL2Repo, 83.3 on Cybergym, 62.7 on DeepSWE, 74.1 on Toolathlon-Verified, 25.7 on Agents' Last Exam, 31.8 on the public AutomationBench split, and 71.1 and 67.2 on its internal DSBench full-stack and hard-problem sets. Read against the preview weights the gap is stark on the agentic evaluations in particular - the lab's own table puts V4-Pro-Preview at 72.1 on Terminal Bench 2.1, 38.5 on NL2Repo and 12.8 on DeepSWE.

Two controls arrived with the release and apply to both V4 models. Thinking effort became a three-position dial - low, high and max - and DeepSeek gives concrete guidance rather than leaving it to taste: low for simple requests, high for everyday agent work, max for genuinely complex scenarios. The API also gained native OpenAI Responses API support with a one-command Codex configuration, on top of the existing OpenAI and Anthropic compatible surfaces.

Pricing changed shape at the same time. DeepSeek introduced peak and off-peak rates, with off-peak set at half the peak price, explicitly to push batchable work into quieter hours, effective 16:00 UTC on 16 August 2026. The model name stayed `deepseek-v4-pro`, so callers moved to the GA weights without touching their code. Where this model stops is cost rather than capability: it is several times the price of V4-Flash, and DeepSeek's own framing sends everyday high-volume traffic to Flash and reserves Pro for the hard end.

ଲଞ୍ଚ ସମୟରେ DeepSeek ଯାହା କହିଥିଲା

Agent capability first
DeepSeek presents the GA release primarily as a large upgrade to agent behaviour, and says the improvement is especially pronounced in production environments rather than on static benchmarks.
Highest scores in the V4 line
The lab reports 87.9 on Terminal Bench 2.1, 61.5 on NL2Repo, 83.3 on Cybergym and 62.7 on DeepSWE, all above what it measured for V4-Flash-0731 on the same harness.
Hard reasoning with tools
DeepSeek measures 42.7 on Humanity's Last Exam without tools and 60.0 with them, its largest tool-assisted gain anywhere in the V4 family.
Three thinking-effort levels
Effort became a low / high / max control across V4-Pro and V4-Flash, with the lab recommending low for simple tasks, high for daily agent workflows and max for complex ones.
Peak and off-peak pricing
The release introduced time-of-day rates with off-peak set at half the peak price, from 16:00 UTC on 16 August 2026, so schedulable batch work costs materially less.
What it is not for
Pro is the expensive end of the V4 pair; DeepSeek positions Flash for high-volume everyday traffic and reserves this model for the hardest reasoning and longest agent runs.

ଭାରତୀୟ ଭାଷା

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 14 ଟି ଭାରତୀୟ ଭାଷାରେ ଉତ୍ତର ଦିଏ। ସେହି ଭାଷାରେ ଉତ୍ତର ପାଇବା ପାଇଁ ମେସେଜ୍ ବକ୍ସ ପାଖରେ ଥିବା ମେନୁରୁ ଭାଷା ବାଛନ୍ତୁ।

Frequently Asked Questions

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 ବିଷୟରେ ବାରମ୍ବାର ପଚରାଯାଉଥିବା ପ୍ରଶ୍ନ।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କେବେ ଲଞ୍ଚ ହୋଇଥିଲା?

DeepSeek ଅଗଷ୍ଟ 12, 2026 ରେ ଡିପସିକ୍ V4 ପ୍ରୋ 0813 ଲଞ୍ଚ କରିଥିଲା।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କିଏ ତିଆରି କରିଛି?

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କୁ DeepSeek ତିଆରି କରିଛି। 99Models ଏହା ସହ ସିଧାସଳଖ ପ୍ରୋଭାଇଡରଙ୍କ ନିର୍ଦ୍ଧାରିତ ରେଟ୍ ରେ ସଂଯୋଗ କରେ।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କେତେ ଶକ୍ତିଶାଳୀ?

ଇଣ୍ଟେଲିଜେନ୍ସ ତାଲିକାରେ 54 ଟି chat Model ମଧ୍ୟରୁ ଏହାର ରାଙ୍କ୍ 31। ସ୍ୱାଧୀନ ବେଞ୍ଚମାର୍କ ସ୍କୋର ଆଧାରରେ ଏହା ସ୍ଥିର କରାଯାଇଛି, ଯାହା ଉପରେ ଥିବା ଟେବୁଲରେ ଉପଲବ୍ଧ।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 ର ମୂଲ୍ୟ କେତେ?

ବ୍ୟବହାର ଖର୍ଚ୍ଚ ପ୍ରତି 10 ଲକ୍ଷ ଇନପୁଟ୍ Tokens ପାଇଁ ₹126.72 ଏବଂ ଆଉଟପୁଟ୍ Tokens ପାଇଁ ₹380.16, 0% ମାର୍କଅପ୍ ସହିତ। କୌଣସି ସବସ୍କ୍ରିପସନ୍ ନାହିଁ; ଆପଣ ଯେତିକି ବ୍ୟବହାର କରିବେ ସେତିକି ପେମେଣ୍ଟ କରିବେ।

US ଡଲାରରେ ଡିପସିକ୍ V4 ପ୍ରୋ 0813 ର ମୂଲ୍ୟ କେତେ?

ପ୍ରୋଭାଇଡର୍ ପ୍ରତି 10 ଲକ୍ଷ ଇନପୁଟ୍ Tokens ପାଇଁ $1.32 ଏବଂ ଆଉଟପୁଟ୍ Tokens ପାଇଁ $3.96 ଚାର୍ଜ କରେ। ଏହି ପୃଷ୍ଠାର ଟଙ୍କା ମୂଲ୍ୟ ₹96 ପ୍ରତି ଡଲାର ହିସାବରେ ରୂପାନ୍ତରିତ।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କେତେ ଲମ୍ବା କଥାବାର୍ତ୍ତା ମନେ ରଖିପାରିବ?

ଏହାର Context window ହେଉଛି 10.5 lakh Tokens। ଗୋଟିଏ request ରେ ଏହା ସମୁଦାୟ କଥାବାର୍ତ୍ତା ଏବଂ ସଂଲଗ୍ନ ଫାଇଲ୍ ପଢ଼ିପାରିବ।

ମୂଲ୍ୟ ହିସାବରେ ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କେତେ ଭଲ?

ଭ୍ୟାଲୁ ରାଙ୍କିଙ୍ଗରେ 54 ଟି Model ମଧ୍ୟରୁ ଏହାର ସ୍ଥାନ 29। ଏହି ରାଙ୍କିଙ୍ଗ ବେଞ୍ଚମାର୍କ କ୍ଷମତା ଏବଂ Token ଖର୍ଚ୍ଚକୁ ତୁଳନା କରି ସ୍ଥିର କରାଯାଏ।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କ’ଣ Reasoning ସପୋର୍ଟ କରେ?

ଡିଫଲ୍ଟ ଭାବରେ On। ଯେଉଁଠାରେ Reasoning ଉପଲବ୍ଧ, ଆପଣ ମେସେଜ୍ ବକ୍ସରେ thinking effort ସ୍ତର ସେଟ୍ କରିପାରିବେ।

ଡିପସିକ୍ V4 ପ୍ରୋ 0813 କେଉଁ ଭାରତୀୟ ଭାଷାରେ ଉତ୍ତର ଦେଇପାରେ?

ଏହା 14 ଟି ଭାରତୀୟ ଭାଷାରେ ଉତ୍ତର ଦିଏ। ମେସେଜ୍ ବକ୍ସ ପାଖରେ ଥିବା ମେନୁରୁ ଆପଣଙ୍କ ପସନ୍ଦର ଭାଷା ବାଛନ୍ତୁ।

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