Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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R1 0528

text->text

May 2025 R1 refresh. Improves long-form reasoning consistency and reduces hallucinations vs original R1.

R1 0528 is a reasoning AI model from DeepSeek. It costs $0.500 per million input tokens and $2.150 per million output tokens (blended $0.995/M), with a 164K-token context window.

Profile inherited from upstream DeepSeek-R1-0528 ↗ — this is a hosted variant of the same open-weights model.

Released May 2025Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.500/M
per million input tokens
OUTPUT
$2.150/M
per million output tokens
BLENDED 70/30
$0.995/M
default reference rate · how it's calculated →
CONTEXT
164K
163,840 tokens
What it's good at
  • Open-weights reasoning
  • Improved over original R1
  • Cheap
  • Visible thinking
Typical use cases
  • Reasoning agents
  • Math/STEM tutoring
  • Migration from R1
Benchmarks
vs. best public score
Scores inherited from DeepSeek-R1-0528 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU90%
Multitask academic knowledge across 57 subjects.
GPQA Diamond73%
Graduate-level science questions, "Google-proof".
MATH95%
High-school competition math problems.
HumanEval90%
Python function synthesis from docstrings.
SWE-bench Verified51%
Real GitHub issues solved end-to-end.
LMArena Elo1370 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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Frequently asked questions

How much does R1 0528 cost?

R1 0528 costs $0.500 per million input tokens and $2.150 per million output tokens, for a blended reference rate of $0.995 per million tokens.

What is R1 0528's context window?

R1 0528 supports up to 164K tokens of context (163,840 tokens).

What is R1 0528 best for?

R1 0528 is well suited to Open-weights reasoning, Improved over original R1 and Cheap.

Who makes R1 0528?

R1 0528 is developed and served by DeepSeek. It was released in May 2025.