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Every score has a dated snapshot.

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  3. DeepSeek V4 Pro vs OpenAI: o1 (batch)

Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

DeepSeek V4 Pro vs OpenAI: o1 (batch) benchmark

This page compares DeepSeek V4 Pro (DeepSeek) and OpenAI: o1 (batch) (OpenAI) using the latest snapshots we have as of Aug 16, 2026. DeepSeek V4 Pro wins on output price at $0.87/1M. DeepSeek V4 Pro has the larger context window (1M 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.

Quick answer

DeepSeek V4 Pro vs OpenAI: o1 (batch) is a dated snapshot, not a lab score. DeepSeek V4 Pro is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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DeepSeek

DeepSeek V4 Pro

Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.

Elo 1,536$0.87/1M out

OpenAI

OpenAI: o1 (batch)

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

$30/1M 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 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V4 Pro (10)vsOpenAI: o1 (batch) (0)
DeepSeek V4 Pro: 10W (100%)Overall: DeepSeek V4 ProOpenAI: o1 (batch): 0W (0%)
← DeepSeek V4 ProOpenAI: o1 (batch) →
DeepSeek V4 Pro (5/5)

Intelligence & Reasoning

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

Preference Elo
1,536vs—
Coding Elo
1,544vs—
SWE-bench
71.6%vs—
LiveBench
70.1%vs—
GPQA Diamond
84%vs—
DeepSeek V4 Pro: 5WOpenAI: o1 (batch): 0W
DeepSeek V4 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
70 tok/svs—
Time to first token
410 msvs—
DeepSeek V4 Pro: 2WOpenAI: o1 (batch): 0W
DeepSeek V4 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.87/1Mvs$30/1M
Input price
$0.44/1Mvs$7.5/1M
Context window
1Mvs200k
DeepSeek V4 Pro: 3WOpenAI: o1 (batch): 0W
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 AdvantageDeepSeek V4 Pro 6/6
Preference Elo

No shared data

No shared data

Throughput Speed

No shared data

No shared data

Price Efficiency

DeepSeek V4 Pro

$29.13/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,536
EloHigh is better
—
Code Elo
High is better
1,544
Code EloHigh is better
—
LiveBench
High is better
70.1%
LiveBenchHigh is better
—
SWE-bench
High is better
71.6%
SWE-benchHigh is better
—
GPQA
High is better
84%
GPQAHigh is better
—
TTFT
Low is better
410 ms
TTFTLow is better
—
Speed
High is better
70 tok/s
SpeedHigh is better
—
In $
Low is better
+1624%$0.44/1M
In $Low is better
$7.5/1M
Out $
Low is better
+3348%$0.87/1M
Out $Low is better
$30/1M
Context
High is better
+424%1M
ContextHigh is better
200k
Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 96% with DeepSeek V4 Pro
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek V4 Pro$28.28 / mo
In: $15.22Out: $13.05
OpenAI: o1 (batch)$712.50 / mo
In: $262.50Out: $450.00
Estimated Cost Delta

DeepSeek V4 Pro is estimated to save $684.23/month ($8,211/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    DeepSeek V4 Pro:Pick DeepSeek V4 Pro when you are optimizing output cost.
  • 2
    DeepSeek V4 Pro:Pick DeepSeek V4 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDeepSeek V4 Pro

Lower output list price ($0.87/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGDeepSeek V4 Pro

Larger window (1M).

Screenshots / visionOpenAI: o1 (batch)

OpenAI: o1 (batch) is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatDeepSeek V4 ProLower output list price ($0.87/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGDeepSeek V4 ProLarger window (1M).
Screenshots / visionOpenAI: o1 (batch)OpenAI: o1 (batch) is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
compareJun 13, 2026

DeepSeek vs Claude: the cheap-versus-frontier question, remapped

Top DeepSeek vs top Anthropic Elo. Usually V4 Pro vs Opus 5. License and invoice decide as much as Elo.

launchJun 12, 2026

DeepSeek V4 Pro: high reasoning density per dollar

2026-06 open-weight-adjacent flagship. The usual cheap-vs-Claude question starts here.

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 V4 Pro

Elo 1,536
LiveBench70.1%
SWE-bench71.6%
Speed70 tok/s
Output cost$0.87/1M
OpenAI

OpenAI: o1 (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$30/1M

Frequently Asked Questions

Which is better overall, DeepSeek V4 Pro or OpenAI: o1 (batch)?
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 V4 Pro or OpenAI: o1 (batch)?
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 V4 Pro output tokens are $0.87/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V4 Pro or OpenAI: o1 (batch)?
We do not have TTFT for both models.
Which has the larger context window?
DeepSeek V4 Pro accepts 1M tokens versus 200k.
Can I self-host either model?
DeepSeek V4 Pro 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 V4 Pro and OpenAI: o1 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Jun 13, 2026

    DeepSeek vs Claude: the cheap-versus-frontier question, remapped

  • launch · Jun 12, 2026

    DeepSeek V4 Pro: high reasoning density per dollar

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek V4 Pro matchups →|All OpenAI: o1 (batch) matchups →
DeepSeek V4 Pro vs DeepSeek R1 (previous deepseek)DeepSeek V4 Pro vs DeepSeek V4 Flash (next deepseek)GPT-4.5 Orion vs DeepSeek V4 ProGPT-5.6 Terra vs DeepSeek V4 ProGPT-5 vs DeepSeek V4 ProGPT-5.6 Sol vs DeepSeek V4 Pro