DeepSeek R1 vs DeepSeek V4 Pro Base

At a Glance

Compare
DeepSeek R1DeepSeek
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 0.1–66.8UnrankedNot in the 57-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.70Openrouter ↗ · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$2.50Openrouter ↗ · Aug 28, 2026Not reported
Context windowMaximum documented tokens164K1,049K
Model facts checkedAug 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldDeepSeek-R1DeepSeek-V4-Pro-Base
DeveloperDeepSeekDeepSeek
FamilyDeepseek R1Deepseek V4 Pro Base
ModelDeepSeek-R1DeepSeek-V4-Pro-Base
VersionDeepSeek-R1DeepSeek-V4-Pro-Base
Lifecycleactiveactive
Released2025-01-202026-04-24
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window164K1,049K
Total parameters684.5B1.6T
Active parameters37BUnknown
LicensemitUnknown
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessHugging Face (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, reasoninggeneration

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

DeepSeek V4 Pro Base Capabilities

generation
Serving providers0
Canonical IDdeepseek-ai/DeepSeek-V4-Pro-Base

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.

Send Feedback