DeepSeek R1 vs DeepSeek V4 Pro Base
At a Glance
| Compare | DeepSeek R1DeepSeek | DeepSeek V4 Pro BaseDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #42 of 570.4 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.1–66.8 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.70Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-R1 | DeepSeek-V4-Pro-Base |
|---|---|---|
| Developer | DeepSeek | DeepSeek |
| Family | Deepseek R1 | Deepseek V4 Pro Base |
| Model | DeepSeek-R1 | DeepSeek-V4-Pro-Base |
| Version | DeepSeek-R1 | DeepSeek-V4-Pro-Base |
| Lifecycle | active | active |
| Released | 2025-01-20 | 2026-04-24 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 164K | 1,049K |
| Total parameters | 684.5B | 1.6T |
| Active parameters | 37B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | generation |
DeepSeek R1 Capabilities
DeepSeek V4 Pro Base Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek R1 vs DeepSeek V4 Pro Base FAQs
Is DeepSeek R1 or DeepSeek V4 Pro Base better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 and DeepSeek V4 Pro Base, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek R1 or DeepSeek V4 Pro Base?+
Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, DeepSeek R1 or DeepSeek V4 Pro Base?+
DeepSeek V4 Pro Base has the larger sourced context window. DeepSeek R1 supports 163,840 tokens and DeepSeek V4 Pro Base supports 1,048,576 tokens.
Which performs better in benchmarks, DeepSeek R1 or DeepSeek V4 Pro Base?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek R1 or DeepSeek V4 Pro Base be self-hosted?+
Both models have the same sourced self-hosting status: supported. DeepSeek R1 is open weight; DeepSeek V4 Pro Base is open weight.
Can DeepSeek R1 and DeepSeek V4 Pro Base understand images?+
DeepSeek R1 is not documented with image input; DeepSeek V4 Pro Base is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek R1 or DeepSeek V4 Pro Base?+
DeepSeek R1 has a sourced maximum output of 32,768 tokens; DeepSeek V4 Pro Base's maximum output is not reported. A larger limit cannot be determined.
Do DeepSeek R1 and DeepSeek V4 Pro Base support reasoning and tool use?+
DeepSeek R1: reasoning. DeepSeek V4 Pro Base: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek R1 or DeepSeek V4 Pro Base?+
DeepSeek R1 has 2 sourced provider routes; DeepSeek V4 Pro Base has 0, so DeepSeek R1 has broader tracked availability.
Which offers better value, DeepSeek R1 or DeepSeek V4 Pro Base?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.