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

Every score has a dated snapshot.

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  2. Comparisons
  3. DeepSeek: R1 0528 vs OpenAI o1-mini

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

DeepSeek: R1 0528 vs OpenAI o1-mini 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-mini present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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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-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
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-mini 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek: R1 0528 (3)vsOpenAI o1-mini (7)
DeepSeek: R1 0528: 3W (30%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (70%)
← DeepSeek: R1 0528OpenAI o1-mini →
OpenAI o1-mini (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,445
Coding Elo
—vs1,468
SWE-bench
—vs56.4%
LiveBench
—vs62%
GPQA Diamond
—vs76.8%
DeepSeek: R1 0528: 0WOpenAI o1-mini: 5W
OpenAI o1-mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs85 tok/s
Time to first token
—vs280 ms
DeepSeek: R1 0528: 0WOpenAI o1-mini: 2W
DeepSeek: R1 0528 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.15/1Mvs$4.4/1M
Input price
$0.5/1Mvs$1.1/1M
Context window
164kvs128k
DeepSeek: R1 0528: 3WOpenAI o1-mini: 0W

Side-by-Side Benchmark Matrix

Preference Elo
DeepSeek: R1 0528—
OpenAI o1-mini1,445
lmarena · Aug 17, 2026
Coding Elo
DeepSeek: R1 0528—
OpenAI o1-mini1,468
lmarena · Aug 17, 2026
LiveBench
DeepSeek: R1 0528—
OpenAI o1-mini62%
livebench · Aug 17, 2026
SWE-bench
DeepSeek: R1 0528—
OpenAI o1-mini56.4%
swebench · Aug 17, 2026
GPQA Diamond
DeepSeek: R1 0528—
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Time to first token
DeepSeek: R1 0528—
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Output speed
DeepSeek: R1 0528—
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Input priceDeepSeek: R1 0528 (+$0.6/1M)
DeepSeek: R1 0528$0.5/1M
openrouter · Aug 17, 2026
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output priceDeepSeek: R1 0528 (+$2.25/1M)
DeepSeek: R1 0528$2.15/1M
openrouter · Aug 17, 2026
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context windowDeepSeek: R1 0528 (+36k)
DeepSeek: R1 0528164k
openrouter · Aug 17, 2026
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkDeepSeek: R1 0528OpenAI o1-miniAdvantage Delta
Preference Elo—
1,445
lmarena · Aug 17, 2026
—
Coding Elo—
1,468
lmarena · Aug 17, 2026
—
LiveBench—
62%
livebench · Aug 17, 2026
—
SWE-bench—
56.4%
swebench · Aug 17, 2026
—
GPQA Diamond—
76.8%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
280 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
85 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.5/1M
openrouter · Aug 17, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
DeepSeek: R1 0528 (+$0.6/1M)
Output price
$2.15/1M
openrouter · Aug 17, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
DeepSeek: R1 0528 (+$2.25/1M)
Context window
164k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
DeepSeek: R1 0528 (+36k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 52% 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-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

DeepSeek: R1 0528 is estimated to save $54.75/month ($657/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 RAGDeepSeek: R1 0528

Larger window (164k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini 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 RAGDeepSeek: R1 0528Larger window (164k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.
Community Sentiment

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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-mini

Elo 1,445
LiveBench62%
SWE-bench56.4%
Speed85 tok/s
Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, DeepSeek: R1 0528 or OpenAI o1-mini?
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-mini?
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 $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek: R1 0528 or OpenAI o1-mini?
We do not have TTFT for both models.
Which has the larger context window?
DeepSeek: R1 0528 accepts 164k tokens versus 128k.
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-mini 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-mini matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI: o3 Mini (next gpt-mini)GPT-5 vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Sol vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-mini