DeepSeekopen-weight
Released: 2026-08-16

DeepSeek V4-Flash

DeepSeek high-throughput low-latency MoE model delivering industry-record price-to-performance at $0.14/1M tokens.

Intelligence Index
88.0/ 100
Calibrated multi-domain composite
Throughput Speed
190tok/sec
Output streaming throughput
Time To First Token
230ms
Initial chunk server latency
LiveBench Contam-Free
74.5%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning84.0%
Coding & Repo Repair75.5%
Mathematics (AIME)86.0%
Data Analysis & Tables72.0%
Language & Comprehension68.0%
Instruction Following62.0%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation67.5%
75
2026-09-12independentSource ↗
SWE-bench VerifiedSaturated57.4%
25
2026-08-25independentSource ↗
IFEvalDeprecated62%
25
2026-08-20independentSource ↗
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run deepseek-v4-flash

# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
  }'

Evaluation & Sourcing Notes

Scores listed for DeepSeek V4-Flash represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.