DeepSeek V4.1 Flash
Public list price, verified 8h ago · batch jobs 85% off · cached input $0.02 /M
Added automatically from the public model catalog. Family and licence details are not curated yet; benchmark scores appear as upstream leaderboards list this model.
Benchmarks
preference
Crowdsourced pairwise human preference rankings of LLM responses. Higher Elo means more frequently preferred by users.
performance
Median output speed in tokens per second over the last 14 days on the model maker's own API, measured nightly with a fixed ~800-token prompt and ~250-token answer. Models not yet probed fall back to a dated manual figure. Higher is faster.
Median time from request to first streamed token in milliseconds over the last 14 days on the model maker's own API, using the same nightly probe prompt. Lower is snappier; reasoning models are penalised here because they think before talking.
knowledge
A human-validated factuality benchmark of short factual questions whose answers can be checked against a single ground truth. Penalises hallucinations by scoring confidently-wrong answers below abstentions.
math
AIME-style competition problems written specifically for the OTIS mock contest, then run as an evaluation by Epoch AI. Closer in spirit to the public AIME but with novel problems unlikely to appear in training data.
reasoning
Second-generation ARC challenge testing fluid reasoning over abstract visual puzzles. Resists training-data memorisation by construction: each puzzle is novel and solutions require multi-step pattern induction. Frontier models are only just starting to score above chance on the harder tier.
composite
Saturation-resistant composite capability score stitched together from ~40 underlying benchmarks using Item Response Theory. Each benchmark is weighted by its fitted difficulty and discriminative slope, so doing well on hard, contamination-resistant evals (FrontierMath, ARC-AGI 2, Humanity's Last Exam) moves the score and saturated benchmarks contribute almost nothing. Imported per-model from Epoch AI's published index; we anchor it to the same min-max scale we use for every other benchmark so it's directly weightable in scenarios.
reliability
Share of nightly probe requests over the last 14 days that streamed a complete answer without an error, timeout or empty response. Needs at least five attempts before a figure is shown.
Reliability monitor
Loading drift signal…
Hosted endpoints
| Host | Input $/M | Output $/M | Context | Speed | TTFT | Uptime 24h | Quant |
|---|---|---|---|---|---|---|---|
| Host 76 | $0.09 | $0.18 | 1.0M | 70 tok/s | 1.00 s | 100.0% | fp4 |
| Host 83 | $0.05 | $0.21 | 1.0M | — | — | 99.9% | fp8 |
| Host 73 | $0.09 | $0.25 | 1.0M | 55 tok/s | 0.88 s | 100.0% | fp4 |
| Host 74 | $0.09 | $0.25 | 1.0M | 50 tok/s | 0.84 s | 100.0% | fp4 |
| Host 36 | $0.11 | $0.34 | 1.0M | — | — | 99.1% | fp8 |
| Host 37 | $0.14 | $0.42 | 1.0M | — | — | 100.0% | fp8 |
| Host 67 | $0.07 | $0.50 | 1.0M | — | — | 100.0% | unknown |
| Host 79 | $0.14 | $0.54 | 1.0M | — | — | 100.0% | fp8 |
| Host 114 | $0.15 | $0.59 | 1.0M | — | — | 100.0% | fp8 |
| Host 72 | $0.10 | $0.60 | 1.0M | — | — | 100.0% | fp8 |
| Host 38 | $0.21 | $0.63 | 1.0M | — | — | 1.5% | fp8 |
| Host 75 | $0.10 | $0.65 | 1.0M | — | — | 100.0% | mxfp4 |
| Host 115 | $0.15 | $0.65 | 1.0M | — | — | 99.9% | fp8 |
| Host 39 | $0.17 | $0.66 | 1.0M | — | — | 100.0% | unknown |
| Host 62 | $0.17 | $0.67 | 1.0M | — | — | 99.4% | fp4 |
| Host 68 | $0.10 | $0.72 | 1.0M | — | — | 100.0% | fp8 |
| Host 69 | $0.10 | $0.72 | 1.0M | — | — | 100.0% | fp8 |
| Host 44 | $0.18 | $0.72 | 1.0M | — | — | 100.0% | fp8 |
| Host 47 | $0.20 | $0.78 | 1.0M | — | — | 97.2% | fp8 |
| Host 70 | $0.11 | $0.84 | 1.0M | — | — | 96.7% | unknown |
| Host 80 | $0.21 | $0.84 | 1.0M | — | — | 100.0% | unknown |
| Host 86 | $0.21 | $0.84 | 1.0M | — | — | 99.2% | unknown |
| Host 66 | $0.02 | $1.00 | 1.0M | 42 tok/s | 0.36 s | 100.0% | fp4 |
| Host 116 | $0.20 | $1.00 | 1.0M | — | — | 80.7% | fp8 |
| Host 78 | $0.26 | $1.17 | 1.0M | — | — | 99.9% | fp8 |
| Host 84 | $0.29 | $1.20 | 1.0M | — | — | 95.4% | fp8 |
| Host N | $0.30 | $1.20 | 1.0M | — | — | 99.3% | unknown |
| Host 85 | $0.30 | $1.20 | 1.0M | — | — | 96.4% | fp8 |
| Host 88 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | unknown |
| Host 101 | $0.30 | $1.20 | 1.0M | — | — | 99.7% | unknown |
| Host 117 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | unknown |
| Host 63 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | unknown |
| Host 43 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | fp8 |
| Host 82 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | unknown |
| Host 89 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | unknown |
| Host 29 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | fp8 |
| Host 87 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | unknown |
| Host 52 | $0.30 | $1.20 | 1.0M | — | — | 100.0% | fp8 |
| Host 90 | $0.33 | $1.32 | 1.0M | — | — | 99.9% | unknown |
| Host 118 | $0.45 | $1.80 | 1.0M | — | — | 100.0% | unknown |
| Host 119 | $0.60 | $2.40 | 1.0M | — | — | 99.7% | unknown |