LLM Reference

DeepSeek R1 0528 vs DeepSeek V4 Pro

DeepSeek R1 0528 (2025) and DeepSeek V4 Pro (2026) are frontier-tier reasoning models from DeepSeek. DeepSeek R1 0528 ships a 130k-token context window, while DeepSeek V4 Pro ships a 1m-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 2.5 pts. On pricing, DeepSeek V4 Pro costs $0.43/1M input tokens versus $0.50/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

DeepSeek V4 Pro fits 8x more tokens; pick it for long-context work and DeepSeek R1 0528 for tighter calls.

Decision scorecard

Local evidence first
SignalDeepSeek R1 0528DeepSeek V4 Pro
Best forreasoning-heavy apps and provider-routed productionreasoning-heavy apps, tool-calling agents, and long-context analysis
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window130k1m
Cheapest output$2.15/1M tokens$0.87/1M tokens
Provider routes7 tracked5 tracked
Shared benchmarks4 sharedMMLU PRO leader

Decision tradeoffs

Choose DeepSeek R1 0528 when...
  • DeepSeek R1 0528 has broader tracked provider coverage for fallback and route flexibility.
  • DeepSeek R1 0528 uniquely exposes Code execution in local model data.
  • Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
Choose DeepSeek V4 Pro when...
  • DeepSeek V4 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 2.5 points.
  • DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
  • DeepSeek V4 Pro uniquely exposes JSON / Tool use in local model data.
  • Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate DeepSeek V4 Pro

DeepSeek R1 0528

$938

Cheapest tracked route/tier: OpenRouter

DeepSeek V4 Pro

$566

Cheapest tracked route/tier: DeepSeek Platform

Estimated monthly gap: $372. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek R1 0528 -> DeepSeek V4 Pro
  • Provider overlap exists on Fireworks AI, OpenRouter, and Novita AI; start route-level A/B tests there.
  • DeepSeek V4 Pro is $1.28/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
  • DeepSeek V4 Pro adds JSON / Tool use in local capability data.
DeepSeek V4 Pro -> DeepSeek R1 0528
  • Provider overlap exists on Fireworks AI, Novita AI, and OpenRouter; start route-level A/B tests there.
  • DeepSeek R1 0528 is $1.28/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for JSON / Tool use before moving production traffic.
  • DeepSeek R1 0528 adds Code execution in local capability data.

Specs

Specification
Released2025-05-282026-04-24
Context window130k1m
Parameters685B total, 37B active (MoE)1.6T
ArchitectureDecoder OnlyMixture of Experts
LicenseMITOSI-approvedMITOSI-approved
OpennessOpen sourceOpen source
WeightsUnknownAvailable
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek R1 0528DeepSeek V4 Pro
Input price$0.50/1M tokens$0.43/1M tokens
Output price$2.15/1M tokens$0.87/1M tokens
Providers

Capabilities

CapabilityDeepSeek R1 0528DeepSeek V4 Pro
VisionNoNo
MultimodalNoNo
ReasoningYesYes
JSON / Tool useNoYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek R1 0528DeepSeek V4 Pro
MMLU PRO85.087.5
SWE-bench Verified57.680.6
Google-Proof Q&A81.090.1
LiveCodeBench73.393.5

Continue comparing

Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.