Model
Model explorer
DeepSeek-V4-Flash (Think High)
OPENDeepSeek · DeepSeek-V4 family · released Apr 24, 2026
Smaller, cheaper sibling MoE released alongside V4-Pro on the same day; fast default mode. (middle reasoning-effort tier, called 'Think High' on the official HF model-card benchmark table).
ReasoningCodingVisionFunction callingTool useAgentic
2239.5
Elo · rank #41
Parameters
284B
Active params
13B (MoE)
Context
1M tokens
Architecture
Mixture-of-Experts (284B total / 13B active), hybrid Compressed Sparse Attention + Heavily Compressed Attention
License
MIT
Languages
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API price (in/out)
$0.14 / $0.28
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: Kimi K3 · 91.2%
best: DeepSeek-V4-Pro (Think Max) · 3206
best: GPT-5.6 · 94.6%
best: Claude Sonnet 5 · 57.4%
best: DeepSeek-V4-Pro (Think Max) · 93.5%
best: Claude Fable 5 · 91.5%
best: Claude Fable 5 · 80.0%
best: Claude Fable 5 · 95.0%
best: GPT-5.6 · 88.8%
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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DeepSeek-V4 family
Elo progression across releases
API price $0.14/$0.28 · each benchmark row carries its own source badge (see methodology)