DeepSeek V4 Pro (Max)
DeepSeek
PickAIModel.com - DeepSeek V4 Pro (Max) Model Detail
DeepSeek
DeepSeek API is free, so PickAI Conversation Value is not computed as a monthly buying-power figure.
PickAI Conversation Value measures buying power at published API rates using the shared standard conversation basket.
Standout feature
Open-weight frontier coding model
DeepSeek V4 Pro (Max) has sourced SWE-Bench Pro and LiveCodeBench coverage with a 1M-token context window.
Images and files
Text-first model record; multimodal buyer claims are omitted until a current accepted source is available.
PickAI benchmark
Move the usage slider to see how the monthly price translates into PickAI Conversation Value at published API rates.
PickAI conversation value
Free tier
Usage intensity
One normal prompt, one full reply, and a couple of follow-up turns.
Selected tier
DeepSeek API
PickAI Conversation Value
Free tier
Standard basket
3K tokens/chat
DeepSeek API is free, so PickAI Conversation Value is not computed as a monthly buying-power figure.
This plan is free, so there is no monthly price basis to turn into a buying-power number.
API pricing basis: $0.44 / 1M input, $0.87 / 1M output
PickAI Conversation Value measures buying power at published API rates using the shared standard conversation basket.
| Tier | Monthly price | PickAI Conversation Value | Standard basket | Rate note |
|---|---|---|---|---|
DeepSeek APIPrimary Free tier | $0 | Free tier | 3,000 tokens | API usage is pay-as-you-go; practical limits depend on DeepSeek account and deployment settings. |
Consumer access
Consumer plan pricing is grounded in the current official vendor plan page.
Hosted app availability is grounded in the current official vendor surface.
What it feels like
Official ecosystem
These are the verified first-party tools or official product surfaces currently listed for DeepSeek V4 Pro (Max). If there is no verified specialized tool beyond a general chat surface, this section stays minimal.
Tool support is omitted from buyer claims until current first-party feature documentation is reviewed.
Released April 2026, DeepSeek V4 Pro (Max) is a serious cost-efficiency challenger for buyers who care about frontier intelligence without frontier infrastructure costs. It competes with leading Western frontier models on complex reasoning, document analysis, and sustained multi-step work, while appearing to require far fewer processing resources for the level of capability delivered. Its strengths are broad versatility: long-context work that stays coherent, useful creative writing, strong coding benchmark evidence, and interactions that feel more thoughtful than formulaic. The caveats are still real: Western models may retain an edge on some narrow coding benchmarks, deeper web-search integration, and enterprise ecosystem maturity, and the low unit cost can encourage enough usage that teams should still watch total volume. Bottom line: DeepSeek V4 Pro (Max) is frontier-level capability at unusually aggressive economics. If you want one of the smartest models your money can buy, it belongs high on the shortlist.
Head-to-head pages
Continue Research
The public row is text/coding focused and does not claim multimodal capability.
For cautious buyers
Privacy guidance is conservative because provider-specific retention and enterprise controls need buyer review.
| Benchmark | Metric | Axis | Weight | Contribution | Score | Source | Retrieved |
|---|---|---|---|---|---|---|---|
Humanity's Last Exam Live source acquisition | Normalized quality input | VALUEQUALITY | VALUE: 40% [SMARTNESS] QUALITY: 66.7% active / 50% base [REASONING] | Contributes 10.0 pts to Value score Contributes 32.3 pts to Quality score | 33.5% | Artificial Analysis - Humanity's Last Exam evaluation Third-party benchmark evaluation page used only after the official HLE leaderboard sources fail to yield a usable result. | 2026-05-24 |
SWE-Bench Pro SWE-Bench Pro |
| Software engineering task resolution |
QUALITY |
QUALITY: 33.3% active / 25% base [CODING] |
Contributes 12.3 pts to Quality score |
| 55.4% |
| BenchLM AI coding leaderboard Third-party coding leaderboard with exact model rows for SWE-Bench Pro and companion coding benchmarks. |
| 2026-05-24 |
GPQA Diamond DeepSeek V4 Pro Max GPQA Diamond Pass@1 | Pass@1 | Reference only | Not used in Quality or Value scoring. | Informational evidence only. | 90.1% | NVIDIA DeepSeek V4 Pro model card NVIDIA-hosted model card row for DeepSeek V4 Pro Max; use as sourced provisional benchmark evidence. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row. | 2026-05-05 |
Terminal-Bench 2.0 DeepSeek V4 Pro Max Terminal Bench 2.0 Acc | Agentic terminal task completion | Reference only | Not used in Quality or Value scoring. | Informational evidence only. | 67.9% | NVIDIA DeepSeek V4 Pro model card NVIDIA-hosted model card row for DeepSeek V4 Pro Max; display as companion agentic coding evidence. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row. | 2026-05-05 |
MRCR v2 DeepSeek V4 Pro Max MRCR 1M MMR | 1M long-context | Reference only | Not used in Quality or Value scoring. | Informational evidence only. | 83.5% | NVIDIA DeepSeek V4 Pro model card NVIDIA-hosted model card row for DeepSeek V4 Pro Max. Retained from the previous published snapshot because the current live source did not expose this benchmark row. Retained from the previous published snapshot because the current live source did not expose this benchmark row. | 2026-05-05 |