DeepSeek
DeepSeek V4 Pro
The A-tier value flagship, pending more direct testing of the new Pro release.
API pricing
USD per million tokens · DeepSeek API peak rate- Input
- $1.32
- Output
- $3.96
- Cached input
- $0.044
- Context window
- 1M
Try the active visual tests
Open the generated scene to test it, or compare that prompt with another model.
City Scroll Journey
Run date: 2026-08-17
Specialist test · evaluated separately
Cinematic scroll journey testing AI-generated scene continuity, scroll-scrubbed camera motion, and art-directed landing craft.
Ember Glider
Run date: 2026-08-17
Sunset gliding journey testing flight energy management, checkpoint flow, and atmospheric scene craft.
Helm's Deep
Run date: 2026-08-17
Fortress siege scene testing scale, lighting, architecture, and cinematic atmosphere.
Hogwarts Broom Flight Simulator
Run date: 2026-08-17
Broom-flight scene testing depth, motion cues, castle scale, and fantasy mood.
Low-Poly Tower Defense
Run date: 2026-08-17
Diorama tower defense testing economy balance, wave design, placement rules, and combat readability.
Mechanical Watch Simulator
Run date: 2026-08-17
Interactive watch movement testing mechanical legibility, accurate relative motion, and real-time 3D controls.
Neon Drift
Run date: 2026-08-17
Synthwave time-trial racing testing drift physics, lap timing, ghost replay, and unlock progression.
Starfall Arena
Run date: 2026-08-17
Neon arena survival testing wave escalation, upgrade builds, particle feedback, and boss design.
Stormwind Trebuchet Simulator
Run date: 2026-08-17
Counterweight siege simulation testing coupled mechanics, trajectory prediction, projectile cameras, and interactive tuning.
Yingzao Fashi Assembly
Run date: 2026-08-17
Specialist test · evaluated separately
Timber assembly scene testing structure, joinery, construction order, and material clarity.
Retired tests · 6 archived runs
These tests are no longer in the active suite. Their original results remain available for inspection.
How DeepSeek V4 Pro compares
Three relevant peers, side by side.
- DeepSeek V4 Pro This model
- DeepSeek V4 Flash Max
- Claude Opus 4.6 Max
- Gemini 3.1 Pro High
6 benchmarks · 4 models
Official benchmark profile
Published scores outside our visual tests
MMLU-Pro
87.5%GPQA Diamond
90.1%LiveCodeBench
93.5%Full official benchmark table12 scores and peer comparisons
| Benchmark | Area | Score | Comparison |
|---|---|---|---|
| MMLU-Pro | Knowledge | 87.5% | |
| GPQA Diamond | STEM reasoning | 90.1% | |
| LiveCodeBench | Code reasoning | 93.5% | |
| HMMT February 2026 | Math | 95.2% | |
| IMOAnswerBench | Math reasoning | 89.8% | |
| MRCR 1M | Long context | 83.5% | |
| Terminal-Bench 2.0 | Agentic coding | 67.9% | |
| SWE-bench Verified | Agentic coding | 80.6% | |
| SWE-bench Pro | Agentic coding | 55.4% | |
| BrowseComp | Web research | 83.4% | |
| MCP Atlas | Tool use | 73.6% | |
| Toolathlon | Tool use | 51.8% |
Sources, pricing details and methodology
Verified model facts
Model specifications
- Status
- Current
- API model ID
deepseek-v4-pro- Context
- 1M
- Max output
- 384K
- License
- Not publicly verified
- Access route
- Not publicly verified
- Modalities
- Not publicly verified
- Hardware
- Not publicly verified
- DeepSeek API peak rate · USD / 1M tokens
- $1.32 input · $0.044 cached input · $3.96 output
Peak hours: Monday–Friday, 01:00–04:00 and 06:00–10:00 UTC. All other hours use half-price off-peak rates: $0.66 input, $0.022 cached input, and $1.98 output per 1M tokens.
Benchmark sources
DeepSeek V4 Pro activates 49B of 1.6T parameters with a 1M-token context. These are the official V4-Pro Max results, which use the largest published reasoning budget and differ from the non-thinking and high settings.
DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligenceEvaluation settings
- Exact match at V4-Pro Max reasoning effort.
- Pass@1 at V4-Pro Max reasoning effort.
- Mean matching rate at the 1M-token setting.
- Accuracy in the official DeepSeek comparison table.
- Resolved rate in the official DeepSeek comparison table.
- Pass@1 in the official DeepSeek comparison table.
Editorial verdict
Where this model fits
DeepSeek V4 Pro moves into A tier on the strength of the new architecture and DeepSeek’s exceptional cost efficiency. The team had not yet completed a direct V4 Pro evaluation when recording, so this is a provisional flagship placement informed partly by hands-on V4 Flash use.
Best for
Watch out
Why it is ranked here
Evidence
Superbash editorial model ranking
Takeaway: DeepSeek V4 Pro is currently placed in Tier A.
The September 2026 editorial roster places DeepSeek V4 Pro at rank 6.
Open source →NEW AI Model Tier List for Vibe Coding!
Takeaway: Use DeepSeek V4 Pro for cost-conscious reasoning, then review the UI carefully.
The source video’s front-end caveat remains relevant even with the current A-tier placement.
Open source →Related guides