DeepSeek·released 2026-04-22✓ 2 sources
DeepSeek-V4-Pro benchmark scores: 15 benchmarks tracked. 33% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 15 benchmarks·best result 96.66 on OTIS Mock AIME 2024-2025 (reproduced)·5 of 15 independently reproduced·$1.32/$3.96 per M tokens
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 96.66accuracy (%) | reproduced· optimizedT1 | 2026-04-24Epoch AI |
| GPQA diamond | 87.88accuracy (%) | reproduced· optimizedT1 | 2026-04-24Epoch AI |
| DTBench | 84.45accuracy (%) | unverifiedT1 | 2026-04-24https://conceptualreasoning.ai/dtbench |
| SWE-Bench verified | 77.64accuracy (%) | reproduced· optimizedT1 | 2026-04-24Epoch AI |
| WeirdML | 48.9accuracy (%) | unverifiedT1 | 2026-04-24https://htihle.github.io/weirdml.html |
| LMCA | 48.47accuracy (%) | unverifiedT1 | 2026-04-24https://conceptualreasoning.ai/lmca |
| SimpleQA Verified | 46.99accuracy (%) | unverifiedT2 | 2026-04-24 |
| FrontierMath-Tiers-1-3-v2-Private | 45.26accuracy (%) | reproducedT1 | 2026-04-24Epoch AI |
| Surface Evolver Bench | 40accuracy (%) | unverifiedT1 | 2026-04-24https://yhenon.github.io/surface-evolver-llm-eval/ |
| FrontierCode | 17.64accuracy (%) | unverifiedT1 | 2026-04-24https://cognition.com/frontiercode |
| ProofBench | 16accuracy (%) | unverifiedT1 | 2026-04-24https://www.vals.ai/benchmarks/proof_bench |
| Chess Puzzles | 14.77accuracy (%) | unverifiedT2 | 2026-04-24 |
| CL-bench Life | 13.5accuracy (%) | unverifiedT2 | 2026-04-24 |
| Mystery Game Puzzles | 8.57accuracy (%) | unverifiedT2 | 2026-04-24 |
| FrontierMath-Tier-4-v2-Private | 2.44accuracy (%) | reproducedT1 | 2026-04-24Epoch AI |
Claims drawn from cited facts, not live model generation.
This model was developed by DeepSeek and released in 2026. Its recorded parameter count is 1598.84 billion.
3 cited facts
This model is scored on 15 tracked benchmarks. It holds no current top score on any of them. The record’s evidence status is independently reproduced.
3 cited facts
Its mean gap to the best recorded score across its tracked benchmarks is 39.87 points. It currently holds the top score on none of them.
2 cited facts
7 facts cross-checked across data sources: 1 corroborated, 1 single-source, 5 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, huggingface_models, litellm_prices, modelsdev_models +1 more
DeepSeek-V4-Pro is an AI model developed by DeepSeek, released 2026-04-22. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
DeepSeek-V4-Pro has recorded scores on 15 benchmarks, each shown with its evidence status.
DeepSeek-V4-Pro has recorded scores on 15 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 9 more. The full table above shows each score with its evidence status.
5 of 15 recorded scores (33%) are independently reproduced rather than self-reported by the lab.
DeepSeek-V4-Pro has 15 tracked claims: 5 independently reproduced, 10 unverified.
Listed API pricing: $1.32 per million input tokens, $3.96 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.