DeepSeek

DeepSeek V4 Pro 0813

Tool callingStructured outputReasoning
DeepSeek V4 Pro 0813 launch post cover

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

Context
1.0M
Released
2mo ago
Parameters
—
Input / 1M tokens
$0.66
Output / 1M tokens
$1.98
Cached input / 1M tokens
$0.02

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
ARC-AGI-2
59.7%
Third-party evaluator · deepseek-v4-pro-0813_high
Reasoning effort: high
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
56.3%
Third-party evaluator · deepseek-v4-pro-0813_low
Reasoning effort: low
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
61.3%
Third-party evaluator · deepseek-v4-pro-0813_max
Reasoning effort: max
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
0.8%
Third-party evaluator · deepseek-v4-pro-0813_none
Reasoning effort: none
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-Tier-4-v2-Private
26.8%
Epoch AI · deepseek-v4-pro-0813_max
Reasoning effort: max
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
64.6%
Epoch AI · deepseek-v4-pro-0813_max
Reasoning effort: max
Epoch AI evaluation
GPQA diamond
91.7%
Epoch AI · deepseek-v4-pro-0813_max
Reasoning effort: max
Epoch AI evaluation
OTIS Mock AIME 2024-2025
98.6%
Epoch AI · deepseek-v4-pro-0813_max
Reasoning effort: max
Epoch AI evaluation
SimpleQA Verified
52.9%
Epoch AI · deepseek-v4-pro-0813_max
Reasoning effort: max
Epoch AI evaluation

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Developer
DeepSeek
Model family
DeepSeek
Type
Language model
Predecessor
—
Successor
—
Released
August 12, 2026
Model ID
deepseek/deepseek-v4-pro-0813
Openness
Open weights
License
MIT
Parameters
—
Input modalities
text
Output modalities
text
Modality
text->text
Tokenizer
DeepSeek
Max output tokens
393K
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
deepseek/deepseek-v4-pro-0813
Source family
deepseek-thinking
Last updated
2026-08-22
Model context
1M
Model output limit
384K
Open weights
Yes
File attachments
No
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Downloadable weights

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Humanity's Last Exam42.7 · scorewithout toolsSource
Humanity's Last Exam60 · scorewith toolsSource
Terminal-Bench87.9 · scoreDeepSeek Harness minimal mode · max effort · 2.1Source
NL2Repo61.5 · scoreDeepSeek Harness minimal mode · max effortSource
CyberGym83.3 · scoreDeepSeek Harness minimal mode · max effortSource
DeepSWE62.7 · scoreDeepSeek Harness minimal mode · max effortSource
Toolathlon-Verified74.1 · score—Source
Agents' Last Exam25.7 · score—Source
AutomationBench31.8 · scorepublicSource
DSBench-FullStack71.1 · scoreinternalSource
DSBench-Hard67.2 · scoreinternalSource
Complete source record (JSON)
{
  "id": "deepseek/deepseek-v4-pro-0813",
  "name": "DeepSeek V4 Pro 0813",
  "description": "DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes",
  "family": "deepseek-thinking",
  "last_updated": "2026-08-22",
  "attachment": false,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1000000,
    "output": 384000
  },
  "benchmarks": [
    {
      "name": "Humanity's Last Exam",
      "score": 42.7,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "variant": "without tools"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 60,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "variant": "with tools"
    },
    {
      "name": "Terminal-Bench",
      "score": 87.9,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort",
      "version": "2.1"
    },
    {
      "name": "NL2Repo",
      "score": 61.5,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "CyberGym",
      "score": 83.3,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "DeepSWE",
      "score": 62.7,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "harness": "DeepSeek Harness minimal mode",
      "variant": "max effort"
    },
    {
      "name": "Toolathlon-Verified",
      "score": 74.1,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score"
    },
    {
      "name": "Agents' Last Exam",
      "score": 25.7,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score"
    },
    {
      "name": "AutomationBench",
      "score": 31.8,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "dataset": "public"
    },
    {
      "name": "DSBench-FullStack",
      "score": 71.1,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "dataset": "internal"
    },
    {
      "name": "DSBench-Hard",
      "score": 67.2,
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813",
      "metric": "score",
      "dataset": "internal"
    }
  ],
  "release_date": "2026-08-12",
  "open_weights": true,
  "license": "MIT",
  "weights": [
    {
      "label": "Hugging Face",
      "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813"
    }
  ]
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Relacerelace/fp41.0M$0.22$8.00$0.23—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Waferwafer1.0M$0.25$5.00$0.25—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Ionstreamionstream1.0M$0.37$2.93$0.09—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

DeepSeekdeepseek1.0M$0.66$1.98$0.02—83.13%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

StreamLakestreamlake1.0M$0.66$1.98$0.02—99.86%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Sail Researchsail-research/us1.0M$0.90$0.99$0.19—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Sail Researchsail-research/fp41.0M$0.90$0.99$0.19—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Phalaphala1.0M$0.96$2.88$0.10—99.90%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Novitanovita/fp81.0M$0.99$2.97$0.03—88.18%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

GMICloudgmicloud/fp81.0M$1.06$3.17$0.04—98.31%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Alibabaalibaba1M$1.12$3.37$0.11—97.48%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

DeepInfradeepinfra/fp81.0M$1.30$2.60$0.10—99.64%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

CoreWeavecoreweave/fp81.0M$1.31$3.96$0.04—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Alibabaalibaba/us-east-11M$1.32$3.96$0.13—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AtlasCloudatlas-cloud/fp81.0M$1.32$3.96$0.13—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Baidubaidu/fp81.0M$1.32$3.96$0.04—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Cloudflarecloudflare1.0M$1.32$3.96$0.04—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

DigitalOceandigitalocean1.0M$1.32$3.96$0.04—100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Parasailparasail/fp81.0M$1.32$3.96$0.04—99.93%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

SiliconFlowsiliconflow/fp81.0M$1.32$3.96$0.04—99.88%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Togethertogether1.0M$1.32$3.96$0.13—91.92%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Venicevenice1M$1.65$4.95$0.17—93.75%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Deployment graph

Can I run this?

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