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o3 vs o3 Deep Research

o3

OpenAI

86#31
vs
o3 Deep Research

OpenAI

86#29
Signal-by-Signal Comparison
Signalo3Deltao3 Deep Research
Capabilities
100
--
100
Benchmarks
88
--
88
Pricing
92
+32
60
Context window size
76
--
76
Recency
51
-32
83
Output Capacity
83
--
83
Overall Result
1 wins
of 6
1 wins
It's a tie - both models win 1 signals each

Score History

Score History (21 data points)
o3o3 Deep Research
o3

86.3

current score

Leader

Tied

right now

o3 Deep Research

86.3

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

o3

OpenAI

Best Value
Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

o3 Deep Research

OpenAI

Per request$0.030000
Daily$100.00
Monthly$3000.00
Annual$36000.00

o3 saves you $2400.00/month

That's $28800.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.

80% cheaper
Choose o3 for cost optimization

o3 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
o3 Deep Research pricing:
Input:$10.00/M tokens
Output:$40.00/M tokens
Tie
o3

OpenAI

86

Composite Score

Tie
o3 Deep Research

OpenAI

86

Composite Score

Signal-by-Signal Comparison
Metrico3o3 Deep ResearchWinner
Overall Score
86
86
--
Rank#31#29
o3 Deep Research
Quality Rank#31#29
o3 Deep Research
Adoption Rank#31#29
o3 Deep Research
Parameters------
Context Window200K200K--
Pricing$2.00/$8.00/M$10.00/$40.00/M--
Signal Scores
Capabilities
100
100
o3
Benchmarks
88
88
o3
Pricing
92
60
o3
Context window size
76
76
o3
Recency
51
83
o3 Deep Research
Output Capacity
83
83
o3
Benchmark Head-to-Head(12 benchmarks)
o3: 012 tieso3 Deep: 0
o3
o3 Deep
Normalized 0-100%
MMLU
92.3%92.3%
MMLU-Pro
85.8%85.8%
GPQA Diamond
87.7%87.7%
MATH-500
99%99%
HumanEval
97%97%
SWE-bench Verified
71.7%71.7%
AIME 2024
96.7%96.7%
IFEval
92%92%
BBH
93%93%
Arena Elo
14151415
LiveBench
74.8%74.8%
HLE
30.1%30.1%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

o3Elite Tier

Scores 86/100 (rank #31), placing it in the top 90% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o3 Deep ResearchElite Tier

Scores 86/100 (rank #29), placing it in the top 90% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose o3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o3 Deep Research when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
o3Best Value
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.116
Est. monthly (1M tokens/day)$150.00
o3 Deep Research
Input cost$10.00/M tokens
Output cost$40.00/M tokens
Cost per quality point$0.579
Est. monthly (1M tokens/day)$750.00

o3 offers 80% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o3 vs $750.00/month with o3 Deep Research - a $600.00 monthly difference.

Latency & Speed
o3Faster
Speed score0/100
o3 Deep Research
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

o3

Customer support chatbot

Suitable for user-facing chat with competitive response times. o3 also offers lower per-token costs for high-volume support

o3

Long document analysis

Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass

o3

Batch data extraction

Lower output pricing ($8.00/M) reduces costs when processing thousands of records daily

o3

Creative writing & content

Higher overall composite score (86/100) correlates with better nuance, coherence, and style in long-form content

o3

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

o3
Which Should You Choose?
Our recommendation:
o3

o3 and o3 Deep Research are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

o3
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 80% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by OpenAI

Consider for specialized use cases.

Capability Comparison
Capabilityo3o3 Deep Research
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

o3

OpenAI

Best Value
$13.20
estimated monthly cost

o3 Deep Research

OpenAI

$66.00
estimated monthly cost

o3 saves you $52.80/month

That's 80% cheaper than o3 Deep Research at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
Parametero3o3 Deep Research
Context Window200K200K
Max Output Tokens100,000100,000
Open SourceNoNo
CreatedApr 16, 2025Oct 10, 2025
Last updated: 12m ago

相关对比

o3 vs o3 Deep Research (2026) | LM Market Cap