DeepSeek · Open weightsDeepSeek: DeepSeek V4 Pro 0813
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DeepSeek: DeepSeek V4 Pro 0813
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DeepSeek · Released 2026-08-12 · v2026-08-12 · Open · Context 1.0M tokens
DeepSeek: DeepSeek V4 Pro 0813 is an open-source model from DeepSeek (released 2026-08-12). Context window ~1.0M tokens with capabilities: Text, Reasoning. Positioned for higher-effort reasoning workloads. List pricing ≈ $0.66 / $1.98 per 1M input/output tokens. Top tracked signals: MATH · epoch 98.6, MATH 96.9, CODING · benchlm 96.4. Cadle merges provider listings, unified leaderboard medians, and public pricing where available.
ACTIVETextReasoning
Language Cap
94
Cadle Language #19/385 · 82%
Benchmark average
83.1
#46 on the benchmark matrix
Pricing
$0.66
$1.98 / 1M out · 32.0 pts/$
CROSS-BOARD RANKS
Cadle Language LLM #19/385Matrix #46/443BenchLM #43/224AA #88/698vs BenchLM: -25
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
63.1
AA IQ
36.0
Coding
82.6
Agentic
87.4
MMLU
94.1
GPQA
92.8
Math
96.9
LiveCodeBench
72.3
HumanEval
—
Reason
90.0
ARC-AGI
61.3
Coverage AVG
83.1
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
ANALYSIS · TRUTH CENTER
Hard benches (GPQA · ARC-AGI · LCB · Agentic) sit left — a mid-40 on ARC-AGI can still be frontier. Broader benches on the right are easier and often higher.
DeepSeek: DeepSeek V4 Pro 0813 is an open-source model from DeepSeek (released 2026-08-12). Context window ~1.0M tokens with capabilities: Text, Reasoning. Positioned for higher-effort reasoning workloads. List pricing ≈ $0.66 / $1.98 per 1M input/output tokens. Top tracked signals: MATH · epoch 98.6, MATH 96.9, CODING · benchlm 96.4. Cadle merges provider listings, unified leaderboard medians, and public pricing where available.
PROVIDER
DeepSeek
RELEASE
2026-08-12
CONTEXT
1.0M tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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MODEL COMPARISON
Metric
DeepSeek: DeepSeek V4 Pro 0813
Provider
DeepSeek
Release
2026-08-12
Input / 1M
$0.66
Output / 1M
$1.98
Context
1.0M tokens
Cadle Cap
94
Cap board
Cadle Language #19/385
MATH · epoch
98.6
MATH
96.9
CODING · benchlm
96.4
AGENTIC · benchlm
96.2
MATH · benchlm
95.2
MMLU · benchlm
94.1
MMLU
94.1
LIVECODEBENCH · benchlm
93.5
GPQA · benchlm
92.8
GPQA
92.8
GPQA · artificial-analysis
92.8
GPQA · epoch
92.6
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.