CompareLLM
CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. DeepSeek: R1 0528 vs OpenAI: o1

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DeepSeek: R1 0528 vs OpenAI: o1 benchmark

In this head-to-head showdown, DeepSeek: R1 0528 is more budget-friendly at $2.15/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both DeepSeek: R1 0528 and OpenAI: o1 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
DeepSeek
DeepSeek: R1 0528

Auto-discovered from OpenRouter (deepseek/deepseek-r1-0528). Preview until a second source matches.

$2.1500000000000004/1M out
OpenAI
OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512$60/1M out

OpenAI: o1 Thinking Depth & Cost Scaler

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$115.50
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for DeepSeek: R1 0528
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

DeepSeek: R1 0528

$2.1500000000000004 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageOpenAI: o1 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

DeepSeek: R1 0528 (2)vsOpenAI: o1 (8)
DeepSeek: R1 0528: 2W (20%)Overall: OpenAI: o1OpenAI: o1: 8W (80%)
← DeepSeek: R1 0528OpenAI: o1 →
OpenAI: o1 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
—vs1,512
Coding Elo
—vs1,485
SWE-bench
—vs48.9%
LiveBench
—vs65.4%
GPQA Diamond
—vs78%
DeepSeek: R1 0528: 0WOpenAI: o1: 5W
OpenAI: o1 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs45 tok/s
Time to first token
—vs420 ms
DeepSeek: R1 0528: 0WOpenAI: o1: 2W
DeepSeek: R1 0528 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.15/1Mvs$60/1M
Input price
$0.5/1Mvs$15/1M
Context window
164kvs200k
DeepSeek: R1 0528: 2WOpenAI: o1: 1W

Side-by-Side Benchmark Matrix

Preference Elo
DeepSeek: R1 0528—
OpenAI: o11,512
lmarena · Aug 17, 2026
Coding Elo
DeepSeek: R1 0528—
OpenAI: o11,485
lmarena · Aug 17, 2026
LiveBench
DeepSeek: R1 0528—
OpenAI: o165.4%
livebench · Aug 17, 2026
SWE-bench
DeepSeek: R1 0528—
OpenAI: o148.9%
swebench · Aug 17, 2026
GPQA Diamond
DeepSeek: R1 0528—
OpenAI: o178%
seed-bootstrap · Aug 1, 2026
Time to first token
DeepSeek: R1 0528—
OpenAI: o1420 ms
seed-bootstrap · Aug 1, 2026
Output speed
DeepSeek: R1 0528—
OpenAI: o145 tok/s
seed-bootstrap · Aug 1, 2026
Input priceDeepSeek: R1 0528 (+$14.5/1M)
DeepSeek: R1 0528$0.5/1M
openrouter · Aug 17, 2026
OpenAI: o1$15/1M
openrouter · Aug 17, 2026
Output priceDeepSeek: R1 0528 (+$57.85/1M)
DeepSeek: R1 0528$2.15/1M
openrouter · Aug 17, 2026
OpenAI: o1$60/1M
openrouter · Aug 17, 2026
Context windowOpenAI: o1 (+36k)
DeepSeek: R1 0528164k
openrouter · Aug 17, 2026
OpenAI: o1200k
openrouter · Aug 17, 2026
BenchmarkDeepSeek: R1 0528OpenAI: o1Advantage Delta
Preference Elo—
1,512
lmarena · Aug 17, 2026
—
Coding Elo—
1,485
lmarena · Aug 17, 2026
—
LiveBench—
65.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.9%
swebench · Aug 17, 2026
—
GPQA Diamond—
78%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
45 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.5/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
DeepSeek: R1 0528 (+$14.5/1M)
Output price
$2.15/1M
openrouter · Aug 17, 2026
$60/1M
openrouter · Aug 17, 2026
DeepSeek: R1 0528 (+$57.85/1M)
Context window
164k
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
OpenAI: o1 (+36k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 97% with DeepSeek: R1 0528
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek: R1 0528$49.75 / mo
In: $17.5Out: $32.25
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

DeepSeek: R1 0528 is estimated to save $1,375.25/month ($16,503/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek: R1 0528:Pick DeepSeek: R1 0528 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek: R1 0528

Lower output list price ($2.15/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek: R1 0528Lower output list price ($2.15/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: o1Larger window (200k).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/deepseek-r1-0528-vs-o1/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek: R1 0528

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$2.15/1M
OpenAI

OpenAI: o1

Elo 1,512
LiveBench65.4%
SWE-bench48.9%
Speed45 tok/s
Output cost$60/1M

Frequently Asked Questions

Which is better overall, DeepSeek: R1 0528 or OpenAI: o1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DeepSeek: R1 0528 or OpenAI: o1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
DeepSeek: R1 0528 output tokens are $2.15/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek: R1 0528 or OpenAI: o1?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: o1 accepts 200k tokens versus 164k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek: R1 0528 and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All DeepSeek: R1 0528 matchups →|All OpenAI: o1 matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1DeepSeek V4 Pro vs OpenAI: o1