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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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  3. DeepSeek V3 vs OpenAI o1-mini

Pairwise benchmark snapshot · Aug 1, 2026

DeepSeek V3 vs OpenAI o1-mini benchmark

In this head-to-head showdown, OpenAI o1-mini delivers higher overall intelligence and human-preferred responses (Elo 1,445 vs 1,310), while OpenAI o1-mini leads in SWE-bench software engineering benchmarks (56.4%), while DeepSeek V3 is more budget-friendly at $1.1/1M per 1M output tokens, while OpenAI o1-mini provides faster response streaming (85 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose OpenAI o1-mini if your priority is peak reasoning, complex code generation, and top preference Elo. Choose DeepSeek V3 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

8 direct benchmark disciplines evaluated across capability, speed, and cost

DeepSeek V3 (2)OpenAI o1-mini (6)
DeepSeek V3
2 of 8 Wins
✓Input price✓Output price
OpenAI o1-mini
6 of 8 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed
DeepSeek
Leads 2 of 8 metrics
DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.1/1M out
OpenAI
Leads 6 of 8 metrics
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 V3
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference LeaderOpenAI o1-mini Wins

OpenAI o1-mini

Δ 135 Arena Elo pts

Throughput LeaderOpenAI o1-mini Wins

OpenAI o1-mini

85 tok/s

Value per Dollar LeaderDeepSeek V3 Wins

DeepSeek V3

$1.1 / 1M output

Capability Percentiles

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

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

DeepSeek V3 (2)vsOpenAI o1-mini (7)
DeepSeek V3: 2W (22%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (78%)
← DeepSeek V31 tiesOpenAI o1-mini →
🏆OpenAI o1-mini(5/5)

Intelligence & Reasoning

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

Benchmark
DeepSeek V3vsOpenAI o1-mini
Preference Elo
1,310vs1,445+135
Coding Elo
—vs1,468
SWE-bench
48.6%vs56.4%+7.8%
LiveBench
55.4%vs62%+6.6%
GPQA Diamond
59.1%vs76.8%+17.7%
DeepSeek V3: 0WOpenAI o1-mini: 5W
🏆OpenAI o1-mini(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek V3vsOpenAI o1-mini
Output speed
66 tok/svs85 tok/s+19 tok/s
Time to first token
380 msvs280 ms+100 ms
DeepSeek V3: 0WOpenAI o1-mini: 2W
🏆DeepSeek V3(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek V3vsOpenAI o1-mini
Output price
$1.1/1Mvs$4.4/1M+$3.3/1M
Input price
$0.27/1Mvs$1.1/1M+$0.83/1M
Context window
128kvs128k
DeepSeek V3: 2WOpenAI o1-mini: 0W

Side-by-Side Benchmark Matrix

Preference Elo+135
DeepSeek V31,310
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini1,445
seed-bootstrap · Aug 1, 2026
Coding Elo
DeepSeek V3—
OpenAI o1-mini1,468
seed-bootstrap · Aug 1, 2026
LiveBench+6.6%
DeepSeek V355.4%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini62%
seed-bootstrap · Aug 1, 2026
SWE-bench+7.8%
DeepSeek V348.6%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini56.4%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+17.7%
DeepSeek V359.1%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Time to first token+100 ms
DeepSeek V3380 ms
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Output speed+19 tok/s
DeepSeek V366 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.83/1M
DeepSeek V3$0.27/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output price+$3.3/1M
DeepSeek V3$1.1/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context window
DeepSeek V3128k
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkDeepSeek V3OpenAI o1-miniAdvantage Delta
Preference Elo
1,310
seed-bootstrap · Aug 1, 2026
1,445
seed-bootstrap · Aug 1, 2026
+135
Coding Elo—
1,468
seed-bootstrap · Aug 1, 2026
—
LiveBench
55.4%
seed-bootstrap · Aug 1, 2026
62%
seed-bootstrap · Aug 1, 2026
+6.6%
SWE-bench
48.6%
seed-bootstrap · Aug 1, 2026
56.4%
seed-bootstrap · Aug 1, 2026
+7.8%
GPQA Diamond
59.1%
seed-bootstrap · Aug 1, 2026
76.8%
seed-bootstrap · Aug 1, 2026
+17.7%
Time to first token
380 ms
seed-bootstrap · Aug 1, 2026
280 ms
seed-bootstrap · Aug 1, 2026
+100 ms
Output speed
66 tok/s
seed-bootstrap · Aug 1, 2026
85 tok/s
seed-bootstrap · Aug 1, 2026
+19 tok/s
Input price
$0.27/1M
seed-bootstrap · Aug 1, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
+$0.83/1M
Output price
$1.1/1M
seed-bootstrap · Aug 1, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
+$3.3/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
—
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 75% with DeepSeek V3
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek V3$25.95 / mo
In: $9.45Out: $16.5
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

DeepSeek V3 is estimated to save $78.55/month ($943/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o1-mini:Pick OpenAI o1-mini when repo-level coding accuracy is the constraint.
  • 2
    DeepSeek V3:Pick DeepSeek V3 when you are optimizing output cost.
  • 3
    OpenAI o1-mini:Pick OpenAI o1-mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsOpenAI o1-mini

Higher SWE-bench (56.4%).

High-volume chatDeepSeek V3

Lower output list price ($1.1/1M).

Voice / low-latency UIOpenAI o1-mini

Lower TTFT (280 ms).

Long-document RAGDeepSeek V3

Larger window (128k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsOpenAI o1-miniHigher SWE-bench (56.4%).
High-volume chatDeepSeek V3Lower output list price ($1.1/1M).
Voice / low-latency UIOpenAI o1-miniLower TTFT (280 ms).
Long-document RAGDeepSeek V3Larger window (128k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
DeepSeek

DeepSeek V3

Elo 1,310
SWE-bench48.6%
Speed (tok/s)66 tok/s
Input / 1M Tokens$0.27/1M
Output / 1M Tokens$1.1/1M
OpenAI

OpenAI o1-mini

Elo 1,445
SWE-bench56.4%
Speed (tok/s)85 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, DeepSeek V3 or OpenAI o1-mini?
OpenAI o1-mini has the higher preference Elo in our latest snapshot (1,445). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek V3 or OpenAI o1-mini?
OpenAI o1-mini leads SWE-bench at 56.4% vs 48.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
DeepSeek V3 output tokens are $1.1/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or OpenAI o1-mini?
OpenAI o1-mini has the lower time-to-first-token (280 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
DeepSeek V3 accepts 128k tokens versus 128k.
Can I self-host either model?
DeepSeek V3 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 V3 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 V3 matchups →|All OpenAI o1-mini matchups →
DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)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-miniDeepSeek V4 Pro vs OpenAI o1-mini