Model
Model explorer
DeepSeek-V4-Flash-0731
OPENDeepSeek · DeepSeek-V4 family · released Jul 31, 2026
Retrained checkpoint of DeepSeek-V4-Flash published July 31, 2026, same 284B/13B architecture and API pricing as the April siblings. DeepSeek's own model card only reruns the launch-day agentic/coding table (Terminal-Bench 2.1, NL2Repo, CyberGym, DeepSWE) with an unreleased internal harness ('DeepSeek Harness'); general reasoning/knowledge benchmarks were not rerun and still carry April Preview values, so this row is coding/agentic-only evidence, not a full refresh. DeepSeek retired V4 Flash on Sep 10, 2026; the deepseek-v4-flash name now routes to V4.1-Flash.
ReasoningCodingVisionFunction callingTool useAgentic
2600.5
Elo · rank #30
Parameters
284B
Active params
13B (MoE)
Context
1M tokens
Architecture
Mixture-of-Experts (284B total / 13B active), hybrid Compressed Sparse Attention + Heavily Compressed Attention — retrained checkpoint of DeepSeek-V4-Flash on the same architecture
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: Claude Fable 5 · 98.5%
best: GPT-6 Astra · 95.0%
best: MiMo-V2.6-Flash · 95.1%
best: Gemini 4 Argon · 77.9%
best: DeepSeek-V4.1-Flash · 64.0%
best: Claude Opus 5 · 97.0%
best: DeepSeek-V4.1-Flash · 90.6%
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
PermissiveQLoRA193.1 GB2× H200 141GB
LoRA604.9 GB4× B200 192GB
Full fine-tune4558.2 GBbeyond 8× B200
QLoRA SFT on ~10k samples ≈ $6.72 (2× H200 141GB)
DeepSeek-V4 family
Elo progression across releases
DeepSeek-V4-Flash (Non-Think)Apr 20261561.9DeepSeek-V4-Flash (Think High)Apr 20262165.3DeepSeek-V4-Flash (Think Max)Apr 20262250.1DeepSeek-V4-Pro (Non-Think)Apr 20261608.1DeepSeek-V4-Pro (Think High)Apr 20262308.5DeepSeek-V4-Pro (Think Max)Apr 20262432.8DeepSeek-V4-Flash-0731Jul 20262600.5DeepSeek-V4.1-FlashSep 20262754.1
API price $0.14/$0.28 · each benchmark row carries its own source badge (see methodology)