DeepSeek R1 0528
As of 29 Oct 2026, DeepSeek R1 0528 by DeepSeek scores 49.4 on the BenchLeader Index (581 ranked configurations), with its best results in human preference (60) and weakest in knowledge (34). It costs $2.08 per 1M tokens blended ($1.85 in / $2.75 out), and streams about 33 tokens/s (Artificial Analysis). Released 28 May 2025; 23 independent results so far.
Key facts (as of 29 Oct 2026)
- DeepSeek R1 0528 costs $2.08 per 1M tokens blended ($1.85 in / $2.75 out) (list price, 29 Oct 2026).
- DeepSeek R1 0528 streams about 33 tokens/s (Artificial Analysis, 29 Oct 2026).
- DeepSeek R1 0528 was released on 28 May 2025 (DeepSeek).
In detail. DeepSeek R1 0528 is a DeepSeek open-weights reasoning model, released 28 May 2025. Its best configuration ranks #347 of 581 on the BenchLeader Index at 49.4 ±4.9, in the lower half. The ± is the point: 263 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in human preference (60) and lowest in knowledge (34). At $2.08 per million tokens blended it is pricier than most ranked models. Output speed of 33 tokens per second puts it in the slowest quarter, with a first answer in 61.2 s. Last measured 22 Oct 2026.
- Blended price
- $2.08/M
- $1.85 in · $2.75 out
- Output speed
- 33 tok/s
- measured by Artificial Analysis
- First answer
- 61 s
- first token 0.78 s
- Context
- 164k
- Full answer
- 76 s
- median, reasoning included
- Cost per run
- –
- Released
- 28 May 2025
- Overall index49
- Reasoning44
- Coding59
- Agents & tools48
- Maths51
- Knowledge34
- Instruction following46
- Human preference60
- Long context52
Versions
DeepSeek has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| DeepSeek R1 0528this page | 28 May 2025 | 49.4 | #347 |
| DeepSeek R1 | 20 Jan 2025 | 47.3 | #393 |
How its index has moved
8 Sept 2026 to 29 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Metadata
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA Openness Indexnot in index | 50#27 | Artificial Analysis |
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| GPQA Diamond | 76.3%#143 | Epoch AI Benchmarking Hub | |
| SimpleBench | 40.8%#60 | SimpleBench | |
| Arena Hard Prompts | 1433#131 | Arena (LMArena) | |
| GPQA Diamond (AA)not in index | 81.3%#183 | Artificial Analysis | |
| Humanity's Last Exam (AA)not in index | 15.8%#259 | Artificial Analysis | |
| GPQA Diamond (HELM)not in index | 66.6%#15 | HELM Capabilities | |
| ARC-AGI-1 | 21.2%#221 | ARC Prize | |
| ARC-AGI-2 | 1.1%#228 | ARC Prize | |
| CritPtnot in index | 1.4%#223 | Artificial Analysis |
Coding
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| WeirdML | 41.6%#96 | WeirdML | |
| Arena Coding | 1464#126 | Arena (LMArena) | |
| Aider Polyglot | 71.4%#9 | Aider polyglot leaderboard | |
| ALE-Benchnot in index | 804.1#77 | Epoch AI Benchmarking Hub | |
| LiveCodeBench (AA)not in index | 77.0%#37 | Artificial Analysis |
Agents & tools
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Terminal-Bench Hard | 15.9%#192 | Artificial Analysis | |
| τ²-Bench Telecom (AA)not in index | 36.5%#232 | Artificial Analysis | |
| DeepResearch Benchnot in index | 35.1%#39 | DeepResearch Bench | |
| METR Time Horizonsnot in index | 53.8%#24 | METR | |
| BrowseComp-Plusnot in index | 8.6%#18 | BrowseComp-Plus | |
| BrowseCompnot in index | 3.1%#8 | OpenAI |
Maths
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| OTIS Mock AIME | 66.4%#154 | Epoch AI Benchmarking Hub | |
| MATH Level 5 | 96.6%#9 | Epoch AI Benchmarking Hub | |
| IMO 2025 | 6.8%#6 | MathArena | |
| MathArena Apex | 1.0%#35 | MathArena | |
| Omni-MATH (HELM) | 42.4%#26 | HELM Capabilities | |
| Arena Maths | 1393#160 | Arena (LMArena) |
Knowledge
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| PRBench Finance | 32.7%#36 | Scale AI SEAL | |
| PRBench Legal | 36.6%#38 | Scale AI SEAL | |
| MultiNRC | 27.6%#27 | Scale AI SEAL | |
| MMLU-Pro (HELM)not in index | 79.3%#21 | HELM Capabilities | |
| Global-MMLU-Lite (AA)not in index | 86.0%#26 | Artificial Analysis |
Instruction following
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| IFBench | 39.6%#267 | Artificial Analysis | |
| IFEval (HELM) | 78.4%#51 | HELM Capabilities | |
| WildBench (HELM) | 82.8%#20 | HELM Capabilities | |
| Arena Instruction Followingnot in index | 1391#151 | Arena (LMArena) |
Human preference
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Arena Text | 1421#125 | Arena (LMArena) | |
| Arena Creative Writingnot in index | 1389#124 | Arena (LMArena) | |
| Arena Multi-turnnot in index | 1404#150 | Arena (LMArena) | |
| Arena Longer Queriesnot in index | 1407#151 | Arena (LMArena) | |
| Lech Mazur Creative Writingnot in index | 81.9%#12 | Lech Mazur |
Long context
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| AA-LCR v1.1 | 55.7%#306 | Artificial Analysis |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Epoch Capabilities Indexnot in index | 141.1#109 | Epoch AI Benchmarking Hub | |
| AA Intelligence Index v4.3.2not in index | 13.1#326 | Artificial Analysis | |
| AA Progress Index v1not in index | 230.8#311 | Artificial Analysis | |
| HELM Capabilities meannot in index | 69.9%#24 | HELM Capabilities |
Safety & honesty
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| MASKnot in index | 53.0%#46 | Scale AI SEAL |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| StreamLake | 44 tok/s | 3.09 s | $0.571 | $2.29 | 128k | – |
| SiliconFlow | 20 tok/s | 1.82 s | $0.500 | $2.18 | 164k | fp8 |
| DeepInfra | 18 tok/s | 0.79 s | $0.500 | $2.15 | 164k | fp4 |
Price history
The price above, per 1M tokens, every day it changed.
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.350 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0016 | $0.0011 | 1.2 min |
| Summarize a 30-page report | 12,000 / 600 | $0.024 | $0.010 | 1.3 min |
| Code edit | 6,000 / 1,500 | $0.015 | $0.0085 | 1.8 min |
| Agentic coding session | 60,000 / 4,000 | $0.122 | $0.054 | 3.0 min |
| Structured extraction | 2,000 / 200 | $0.0043 | $0.0020 | 1.1 min |
More from DeepSeek
See also
Questions people ask
- What are DeepSeek R1 0528's benchmark scores?
- As of 29 Oct 2026, DeepSeek R1 0528 scores 49.4 ±4.9 on the BenchLeader Index, strongest in human preference (60) and weakest in knowledge (34). That rests on 23 independent benchmark results, and every score on this page links to its publisher.
- How does DeepSeek R1 0528 rank?
- DeepSeek R1 0528 is #347 of 581 ranked configurations on 29 Oct 2026. 263 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 69.2.
- How much does DeepSeek R1 0528 cost per 1M tokens?
- As of 29 Oct 2026, DeepSeek R1 0528 costs $1.85 per 1M input tokens and $2.75 per 1M output tokens, $2.08 blended (three input tokens per output token). The list price last changed on 24 Oct 2026.
- When was DeepSeek R1 0528 released?
- DeepSeek released DeepSeek R1 0528 on 28 May 2025.
Data as of 29 Oct 2026. Compare with another model.
Cite as: BenchLeader, “DeepSeek R1 0528: benchmarks, pricing, speed and rank”, data as of 29 Oct 2026, https://www.benchleader.com/models/deepseek-r1-0528.