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  3. DeepSeek R1 vs GPT-4o mini

Pairwise benchmark snapshot · Aug 17, 2026

DeepSeek R1 vs GPT-4o mini benchmark

In this head-to-head showdown, DeepSeek R1 delivers higher overall intelligence and human-preferred responses (Elo 1,358 vs 1,272), while DeepSeek R1 leads in SWE-bench software engineering benchmarks (65.2%), while GPT-4o mini is more budget-friendly at $0.6/1M 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: Choose DeepSeek R1 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GPT-4o mini if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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DeepSeek
DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358$2.5/1M out
OpenAI
GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out

DeepSeek R1 Thinking Depth & Cost Scaler

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Full RL CoT)

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
~2,800
Internal tokens
Cost / 1k Calls
$8.10
7.4× standard bill
Accuracy Boost
+6.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for DeepSeek R1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference Leader

DeepSeek R1

Δ 86 Arena Elo pts

Throughput Leader

GPT-4o mini

160 tok/s

Value per Dollar Leader

GPT-4o mini

$0.6 / 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 AdvantageEven 3–3
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek R1 (4)vsGPT-4o mini (5)
DeepSeek R1: 4W (44%)Overall: GPT-4o miniGPT-4o mini: 5W (56%)
← DeepSeek R1GPT-4o mini →
DeepSeek R1 (4/5)

Intelligence & Reasoning

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

Preference Elo
1,358vs1,272
Coding Elo
—vs—
SWE-bench
65.2%vs41.2%
LiveBench
59%vs48.1%
GPQA Diamond
79.8%vs60.1%
DeepSeek R1: 4WGPT-4o mini: 0W
GPT-4o mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
62 tok/svs160 tok/s
Time to first token
420 msvs130 ms
DeepSeek R1: 0WGPT-4o mini: 2W
GPT-4o mini (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.5/1Mvs$0.6/1M
Input price
$0.7/1Mvs$0.15/1M
Context window
64kvs128k
DeepSeek R1: 0WGPT-4o mini: 3W

Side-by-Side Benchmark Matrix

Preference EloDeepSeek R1 (+86)
DeepSeek R11,358
lmarena · Aug 17, 2026
GPT-4o mini1,272
lmarena · Aug 17, 2026
LiveBenchDeepSeek R1 (+10.9%)
DeepSeek R159%
livebench · Aug 17, 2026
GPT-4o mini48.1%
livebench · Aug 17, 2026
SWE-benchDeepSeek R1 (+24%)
DeepSeek R165.2%
swebench · Aug 17, 2026
GPT-4o mini41.2%
swebench · Aug 17, 2026
GPQA DiamondDeepSeek R1 (+19.7%)
DeepSeek R179.8%
seed-bootstrap · Aug 1, 2026
GPT-4o mini60.1%
seed-bootstrap · Aug 1, 2026
Time to first tokenGPT-4o mini (+290 ms)
DeepSeek R1420 ms
seed-bootstrap · Aug 1, 2026
GPT-4o mini130 ms
seed-bootstrap · Aug 1, 2026
Output speedGPT-4o mini (+98 tok/s)
DeepSeek R162 tok/s
seed-bootstrap · Aug 1, 2026
GPT-4o mini160 tok/s
seed-bootstrap · Aug 1, 2026
Input priceGPT-4o mini (+$0.55/1M)
DeepSeek R1$0.7/1M
openrouter · Aug 17, 2026
GPT-4o mini$0.15/1M
openrouter · Aug 17, 2026
Output priceGPT-4o mini (+$1.9/1M)
DeepSeek R1$2.5/1M
openrouter · Aug 17, 2026
GPT-4o mini$0.6/1M
openrouter · Aug 17, 2026
Context windowGPT-4o mini (+64k)
DeepSeek R164k
openrouter · Aug 17, 2026
GPT-4o mini128k
openrouter · Aug 17, 2026
BenchmarkDeepSeek R1GPT-4o miniAdvantage Delta
Preference Elo
1,358
lmarena · Aug 17, 2026
1,272
lmarena · Aug 17, 2026
DeepSeek R1 (+86)
LiveBench
59%
livebench · Aug 17, 2026
48.1%
livebench · Aug 17, 2026
DeepSeek R1 (+10.9%)
SWE-bench
65.2%
swebench · Aug 17, 2026
41.2%
swebench · Aug 17, 2026
DeepSeek R1 (+24%)
GPQA Diamond
79.8%
seed-bootstrap · Aug 1, 2026
60.1%
seed-bootstrap · Aug 1, 2026
DeepSeek R1 (+19.7%)
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
130 ms
seed-bootstrap · Aug 1, 2026
GPT-4o mini (+290 ms)
Output speed
62 tok/s
seed-bootstrap · Aug 1, 2026
160 tok/s
seed-bootstrap · Aug 1, 2026
GPT-4o mini (+98 tok/s)
Input price
$0.7/1M
openrouter · Aug 17, 2026
$0.15/1M
openrouter · Aug 17, 2026
GPT-4o mini (+$0.55/1M)
Output price
$2.5/1M
openrouter · Aug 17, 2026
$0.6/1M
openrouter · Aug 17, 2026
GPT-4o mini (+$1.9/1M)
Context window
64k
openrouter · Aug 17, 2026
128k
openrouter · Aug 17, 2026
GPT-4o mini (+64k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 77% with GPT-4o mini
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$62.00 / mo
In: $24.5Out: $37.5
GPT-4o mini$14.25 / mo
In: $5.25Out: $9
Estimated Cost Delta

GPT-4o mini is estimated to save $47.75/month ($573/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek R1:Pick DeepSeek R1 when repo-level coding accuracy is the constraint.
  • 2
    GPT-4o mini:Pick GPT-4o mini when you are optimizing output cost.
  • 3
    GPT-4o mini:Pick GPT-4o mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsDeepSeek R1

Higher SWE-bench (65.2%).

High-volume chatGPT-4o mini

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGGPT-4o mini

Larger window (128k).

Screenshots / visionGPT-4o mini

GPT-4o mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsDeepSeek R1Higher SWE-bench (65.2%).
High-volume chatGPT-4o miniLower output list price ($0.6/1M).
Voice / low-latency UIGPT-4o miniLower TTFT (130 ms).
Long-document RAGGPT-4o miniLarger window (128k).
Screenshots / visionGPT-4o miniGPT-4o mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
DeepSeek

DeepSeek R1

Elo 1,358
LiveBench59%
SWE-bench65.2%
Speed62 tok/s
Output cost$2.5/1M
OpenAI

GPT-4o mini

Elo 1,272
LiveBench48.1%
SWE-bench41.2%
Speed160 tok/s
Output cost$0.6/1M

Frequently Asked Questions

Which is better overall, DeepSeek R1 or GPT-4o mini?
DeepSeek R1 has the higher preference Elo in our latest snapshot (1,358). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek R1 or GPT-4o mini?
DeepSeek R1 leads SWE-bench at 65.2% vs 41.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GPT-4o mini output tokens are $0.6/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or GPT-4o mini?
GPT-4o mini has the lower time-to-first-token (130 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
GPT-4o mini accepts 128k tokens versus 64k.
Can I self-host either model?
DeepSeek R1 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 and GPT-4o mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek R1 matchups →|All GPT-4o mini matchups →
DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)GPT-4o mini vs OpenAI o1-mini (next gpt-mini)DeepSeek V4 Flash vs DeepSeek R1GPT-5 vs DeepSeek R1GPT-4.5 Orion vs DeepSeek R1