Model
Model explorer
DeepSeek-V4-Pro (Think High)
OPENDeepSeek · DeepSeek-V4 family · released Apr 24, 2026
Fast/low-latency mode of the DeepSeek-V4-Pro preview checkpoint, the default reasoning tier a user gets without selecting anything. (middle reasoning-effort tier, called 'Think High' on the official HF model-card benchmark table).
ReasoningCodingVisionFunction callingTool useAgentic
2351.3
Elo · rank #46
Parameters
1600B
Active params
49B (MoE)
Context
1M tokens
Architecture
Mixture-of-Experts (1.6T total / 49B active), hybrid Compressed Sparse Attention + Heavily Compressed Attention, Manifold-Constrained Hyper-Connections, Muon optimizer
License
MIT
Languages
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API price (in/out)
$0.435 / $0.87
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: GPT-6 Astra · 59.3%
best: Kimi K3 · 91.2%
best: DeepSeek-V4-Pro (Think Max) · 3206
best: GPT-6 Astra · 96.0%
best: Claude Opus 5 · 64.7%
best: DeepSeek-V4-Pro (Think Max) · 93.5%
best: Claude Fable 5 · 91.5%
best: Claude Fable 5.1 · 81.2%
best: Claude Opus 5 · 96.0%
best: Gemini 3.8 Flash · 89.4%
Run it locally
VRAM @ Q4
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VRAM @ FP16
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Fits on (Q4)
Multi-node cluster required
Throughput data unavailable.
Quantizations
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Fine-tune it
PermissiveQLoRA1088.0 GB8× H200 141GB
LoRA3408.0 GBbeyond 8× B200
Full fine-tune25680.0 GBbeyond 8× B200
QLoRA SFT on ~10k samples ≈ $25.34 (8× H200 141GB)
DeepSeek-V4 family
Elo progression across releases
API price $0.435/$0.87 · each benchmark row carries its own source badge (see methodology)