Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek V3 vs OpenAI: o3 Mini benchmark

Name: DeepSeek V3 vs OpenAI: o3 Mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek V3 (DeepSeek) and OpenAI: o3 Mini (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o3 Mini is ahead by 250 points (1,560 vs 1,310; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, OpenAI: o3 Mini resolves 78.5% versus 48.6% (seed-bootstrap (Aug 1, 2026)). OpenAI: o3 Mini streams faster (92 tok/s) while DeepSeek V3 is the cheaper output token ($1.03/1M). OpenAI: o3 Mini has the larger context window (200k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

DeepSeek

DeepSeek V3

Prior DeepSeek flagship. Baseline for v3 vs v4.

Elo 1,310$1.0287/1M out

OpenAI

OpenAI: o3 Mini

Auto-discovered from OpenRouter (openai/o3-mini). Preview until a second source matches.

Elo 1,560$4.4/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V3 (2)vsOpenAI: o3 Mini (8)

DeepSeek V3: 2W (20%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 8W (80%)

← DeepSeek V3OpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,310vs1,560

Coding Elo

—vs1,585

SWE-bench

48.6%vs78.5%

LiveBench

55.4%vs72.4%

GPQA Diamond

59.1%vs87.2%

DeepSeek V3: 0WOpenAI: o3 Mini: 5W

OpenAI: o3 Mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs92 tok/s

Time to first token

380 msvs290 ms

DeepSeek V3: 0WOpenAI: o3 Mini: 2W

DeepSeek V3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.03/1Mvs$4.4/1M

Input price

$0.26/1Mvs$1.1/1M

Context window

164kvs200k

DeepSeek V3: 2WOpenAI: o3 Mini: 1W

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: o3 Mini 5/6

Preference Elo

OpenAI: o3 Mini

250 pts advantage

Throughput Speed

OpenAI: o3 Mini

26 tok/s faster

Price Efficiency

DeepSeek V3

$3.37/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,310

EloHigh is better

1,560+19%

Code Elo

High is better

—

Code EloHigh is better

1,585

LiveBench

High is better

55.4%

LiveBenchHigh is better

72.4%+31%

SWE-bench

High is better

48.6%

SWE-benchHigh is better

78.5%+62%

GPQA

High is better

59.1%

GPQAHigh is better

87.2%+48%

TTFT

Low is better

380 ms

TTFTLow is better

290 ms+31%

Speed

High is better

66 tok/s

SpeedHigh is better

92 tok/s+39%

In $

Low is better

+327%$0.26/1M

In $Low is better

$1.1/1M

Out $

Low is better

+328%$1.03/1M

Out $Low is better

$4.4/1M

Context

High is better

164k

ContextHigh is better

200k+22%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 77% 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$24.44 / mo

In: $9.01Out: $15.43

OpenAI: o3 Mini$104.50 / mo

In: $38.50Out: $66.00

Estimated Cost Delta

DeepSeek V3 is estimated to save $80.06/month ($961/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o3 Mini:Pick OpenAI: o3 Mini when repo-level coding accuracy is the constraint.
2
DeepSeek V3:Pick DeepSeek V3 when you are optimizing output cost.
3
OpenAI: o3 Mini:Pick OpenAI: o3 Mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UIOpenAI: o3 Mini

Lower TTFT (290 ms).

Long-document RAGOpenAI: o3 Mini

Larger window (200k).

Screenshots / visionOpenAI: o3 Mini

OpenAI: o3 Mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	OpenAI: o3 Mini	Lower TTFT (290 ms).
Long-document RAG	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	OpenAI: o3 Mini	OpenAI: o3 Mini is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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-v3-vs-o3-mini/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

DeepSeek

DeepSeek V3

Elo 1,310

LiveBench55.4%

SWE-bench48.6%

Speed66 tok/s

Output cost$1.03/1M

OpenAI

OpenAI: o3 Mini

Elo 1,560

LiveBench72.4%

SWE-bench78.5%

Speed92 tok/s

Output cost$4.4/1M

Frequently Asked Questions

Which is better overall, DeepSeek V3 or OpenAI: o3 Mini?: OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek V3 or OpenAI: o3 Mini?: OpenAI: o3 Mini leads SWE-bench at 78.5% vs 48.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek V3 output tokens are $1.03/1M versus $4.4/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V3 or OpenAI: o3 Mini?: OpenAI: o3 Mini has the lower time-to-first-token (290 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: OpenAI: o3 Mini accepts 200k tokens versus 164k.
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: o3 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: o3 Mini matchups →

DeepSeek V3 vs DeepSeek Coder V2 (previous deepseek)DeepSeek V3 vs DeepSeek R1 (next deepseek)OpenAI: o3 Mini vs OpenAI o1-mini (previous gpt-mini)OpenAI: o3 Mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI: o3 Mini DeepSeek V4 Pro vs OpenAI: o3 Mini

DeepSeek V3 vs OpenAI: o3 Mini benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V3 (2)vsOpenAI: o3 Mini (8)

DeepSeek V3: 2W (20%)Overall: OpenAI: o3 MiniOpenAI: o3 Mini: 8W (80%)

← DeepSeek V3OpenAI: o3 Mini →

OpenAI: o3 Mini (5/5)

Intelligence & Reasoning

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

Preference Elo

1,310vs1,560

Coding Elo

—vs1,585

SWE-bench

48.6%vs78.5%

LiveBench

55.4%vs72.4%

GPQA Diamond

59.1%vs87.2%

DeepSeek V3: 0WOpenAI: o3 Mini: 5W

OpenAI: o3 Mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs92 tok/s

Time to first token

380 msvs290 ms

DeepSeek V3: 0WOpenAI: o3 Mini: 2W

DeepSeek V3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.03/1Mvs$4.4/1M

Input price

$0.26/1Mvs$1.1/1M

Context window

164kvs200k

DeepSeek V3: 2WOpenAI: o3 Mini: 1W

Recommended Workload Routing

Repo / coding agentsOpenAI: o3 Mini

Higher SWE-bench (78.5%).

High-volume chatDeepSeek V3

Lower output list price ($1.03/1M).

Voice / low-latency UIOpenAI: o3 Mini

Lower TTFT (290 ms).

Long-document RAGOpenAI: o3 Mini

Larger window (200k).

Screenshots / visionOpenAI: o3 Mini

OpenAI: o3 Mini is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o3 Mini	Higher SWE-bench (78.5%).
High-volume chat	DeepSeek V3	Lower output list price ($1.03/1M).
Voice / low-latency UI	OpenAI: o3 Mini	Lower TTFT (290 ms).
Long-document RAG	OpenAI: o3 Mini	Larger window (200k).
Screenshots / vision	OpenAI: o3 Mini	OpenAI: o3 Mini is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, DeepSeek V3 or OpenAI: o3 Mini?

OpenAI: o3 Mini has the higher preference Elo in our latest snapshot (1,560). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek V3 or OpenAI: o3 Mini?

OpenAI: o3 Mini leads SWE-bench at 78.5% vs 48.6%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek V3 output tokens are $1.03/1M versus $4.4/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V3 or OpenAI: o3 Mini?

OpenAI: o3 Mini has the lower time-to-first-token (290 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

OpenAI: o3 Mini accepts 200k tokens versus 164k.

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: o3 Mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.