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DeepSeek · Released May 28, 2025

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

ReasoningOpen weights
  • Top 27%Aider Polyglot
  • Top 30%Lech Mazur Writing
  • Top 38%Fiction.LiveBench
Compare in showdown → OpenRouter ↗ All DeepSeek models
Released
May 28 2025
Context window
164K 33K out
Input / 1M tokens
$0.50 from $0.20
Output / 1M tokens
$2.15 from $0.80

Where to run it

18 providers compared

Cheapest: submodel at $0.20 / $0.80 per 1M input / output tokens — 90% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
submodel $0.20 $0.80 —75K164K— Cheapest
DeepInfraFP4 · no tool calling $0.50 $2.15 $0.35164K33K100%24h +161%
NanoGPT $0.50 $2.15 $0.35164K33K— +161%
Kilo Gateway $0.50 $2.15 $0.35164K33K— +161%
Meganovano tool calling $0.50 $2.15 $0.40164K64K— +161%
SiliconFlowFP8 $0.50 $2.18 —164K147K100%24h +163%
IO.NET $0.52 $2.21 $0.26128K4K— +170%
StreamLakeno tool calling $0.57 $2.29 —128K32K99.9%24h +186%
Alibaba (China) $0.57 $2.29 —131K16K— +187%
Qiniu $0.58 $2.32 —128K32K— +190%
SiliconFlow (China) $0.60 $2.39 $0.06164K164K— +199%
TensorX $0.66 $2.60 $0.17164K8K— +227%
Eden AI $0.66 $2.60 $0.17164K33K— +227%
Novita AI $0.70 $2.50 $0.35164K33K— +229%
Jiekou.AI $0.70 $2.50 $0.35164K33K— +229%
Melious $0.70 $2.78 $0.18164K33K— +248%
Merge Gatewayno tool calling $1.35 $5.40 $0.9466K33K— +575%
Hugging Face $3.00 $5.00 —164K33K— +900%

Value

Price vs. performance

29 models score higher for the same price or lesson GPQA Diamond, e.g. DeepSeek V4.1 Flash 1017.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.44/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.45/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in R1 0528

R1 0528 Other DeepSeek Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

12 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 38.3% #83of 102 Claude Opus 5.566.9%
Aider PolyglotSoftware engineering · Hard Exercism problems in many languages 71.4% #7of 26 GPT-588.0%
METR time horizonSoftware engineering · Length of software task solved more often than not 31 min #16of 23 Claude Opus 4.612 h
Lech Mazur WritingWriting & content · Short stories weaving 10 required elements, judged 0–10 8.30/10 #8of 27 GPT-58.60/10
Fiction.LiveBenchWriting & content · Understanding long creative writing (16k tokens) 75.0% #9of 24 GPT-597.2%
DeepResearch BenchWriting & content · Find and synthesize information from the web 35.1% #20of 21 Claude Opus 4.655.3%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 76.3% #79of 122 Gemini 4 Argon96.4%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 1.3% #66of 75 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 21.2% #67of 75 Gemini 4 Argon98.5%
SimpleBenchReasoning & knowledge · Common-sense trick questions about space, time and people 40.8% #41of 58 Claude Fable 581.9%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 1.1% #81of 111 GPT-5.6 Sol32.3%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 66.4% #86of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
deepseek/deepseek-r1-0528
Developer
DeepSeek
Release date
May 28, 2025 ·
Context window
163,840 tokens
Max output
32,768 tokens
API price
$0.50 / $2.15 per 1M input / output tokens
Providers
18
Input types
text
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.