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o4 Mini vs o4 Mini Deep Research

o4 Mini

OpenAI

81#42
vs
Signal-by-Signal Comparison
Signalo4 MiniDeltao4 Mini Deep Research
Capabilities
100
--
100
Benchmarks
85
--
85
Pricing
96
+4
92
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)
o4 Minio4 Mini Deep Research
o4 Mini

81

current score

Leader

Tied

right now

o4 Mini Deep Research

81

current score

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

o4 Mini

OpenAI

Best Value
Per request$0.003300
Daily$11.00
Monthly$330.00
Annual$3960.00

o4 Mini Deep Research

OpenAI

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

o4 Mini saves you $270.00/month

That's $3240.00/year compared to o4 Mini Deep Research at your current usage level of 100K calls/month.

45% cheaper
Choose o4 Mini for cost optimization

o4 Mini pricing:
Input:$1.10/M tokens
Output:$4.40/M tokens
o4 Mini Deep Research pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Tie
o4 Mini

OpenAI

81

Composite Score

Tie
o4 Mini Deep Research

OpenAI

81

Composite Score

Signal-by-Signal Comparison
Metrico4 Minio4 Mini Deep ResearchWinner
Overall Score
81
81
--
Rank#42#41
o4 Mini Deep Research
Quality Rank#42#41
o4 Mini Deep Research
Adoption Rank#42#41
o4 Mini Deep Research
Parameters------
Context Window200K200K--
Pricing$1.10/$4.40/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
100
o4 Mini
Benchmarks
85
85
o4 Mini
Pricing
96
92
o4 Mini
Context window size
76
76
o4 Mini
Recency
51
83
o4 Mini Deep Research
Output Capacity
83
83
o4 Mini
Benchmark Head-to-Head(11 benchmarks)
o4 Mini: 011 tieso4 Mini: 0
o4 Mini
o4 Mini
Normalized 0-100%
MMLU-Pro
83%83%
GPQA Diamond
81.4%81.4%
MATH-500
97.3%97.3%
HumanEval
95%95%
SWE-bench Verified
68.1%68.1%
AIME 2024
93.4%93.4%
IFEval
90%90%
BBH
90.5%90.5%
Arena Elo
13801380
LiveBench
72%72%
HLE
18.08%18.08%
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.

o4 MiniStrong Performer

Scores 81/100 (rank #42), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o4 Mini Deep ResearchStrong Performer

Scores 81/100 (rank #41), placing it in the top 86% 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 o4 Mini when you need:

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

Choose o4 Mini Deep Research when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
o4 MiniBest Value
Input cost$1.10/M tokens
Output cost$4.40/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50
o4 Mini Deep Research
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.123
Est. monthly (1M tokens/day)$150.00

o4 Mini offers 45% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with o4 Mini vs $150.00/month with o4 Mini Deep Research - a $67.50 monthly difference.

Latency & Speed
o4 MiniFaster
Speed score0/100
o4 Mini 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

o4 Mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. o4 Mini also offers lower per-token costs for high-volume support

o4 Mini

Long document analysis

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

o4 Mini

Batch data extraction

Lower output pricing ($4.40/M) reduces costs when processing thousands of records daily

o4 Mini

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

o4 Mini

Image understanding & OCR

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

o4 Mini
Which Should You Choose?
Our recommendation:
o4 Mini

o4 Mini and o4 Mini 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.

o4 Mini
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 45% 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
Capabilityo4 Minio4 Mini 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)

o4 Mini

OpenAI

Best Value
$7.26
estimated monthly cost

o4 Mini Deep Research

OpenAI

$13.20
estimated monthly cost

o4 Mini saves you $5.94/month

That's 45% cheaper than o4 Mini 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
Parametero4 Minio4 Mini Deep Research
Context Window200K200K
Max Output Tokens100,000100,000
Open SourceNoNo
CreatedApr 16, 2025Oct 10, 2025
Last updated: 42m ago

相关对比

o4 Mini vs o4 Mini Deep Research (2026) | LM Market Cap