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Claude Opus 4 vs o4 Mini Deep Research

Claude Opus 4

Anthropic

82#40
vs
Signal-by-Signal Comparison
SignalClaude Opus 4Deltao4 Mini Deep Research
Capabilities
83
-17
100
Benchmarks
82
-2
85
Pricing
25
-67
92
Context window size
76
--
76
Recency
58
-26
83
Output Capacity
75
-8
83
Overall Result
0 wins
of 6
5 wins
o4 Mini Deep Research wins 5 of 6 signals

Score History

Score History (21 data points)
Claude Opus 4o4 Mini Deep Research
Claude Opus 4

81.7

current score

Leader

Claude Opus 4

right now

o4 Mini Deep Research

81

current score

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

Claude Opus 4

Anthropic

Per request$0.052500
Daily$175.00
Monthly$5250.00
Annual$63000.00

o4 Mini Deep Research

OpenAI

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

o4 Mini Deep Research saves you $4650.00/month

That's $55800.00/year compared to Claude Opus 4 at your current usage level of 100K calls/month.

89% cheaper
Choose o4 Mini Deep Research for cost optimization

Claude Opus 4 pricing:
Input:$15.00/M tokens
Output:$75.00/M tokens
o4 Mini Deep Research pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Winner
Claude Opus 4

Anthropic

82

Composite Score

o4 Mini Deep Research

OpenAI

81

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4o4 Mini Deep ResearchWinner
Overall Score
82
81
Claude Opus 4
Rank#40#41
Claude Opus 4
Quality Rank#40#41
Claude Opus 4
Adoption Rank#40#41
Claude Opus 4
Parameters------
Context Window200K200K--
Pricing$15.00/$75.00/M$2.00/$8.00/M--
Signal Scores
Capabilities
83
100
o4 Mini Deep Research
Benchmarks
82
85
o4 Mini Deep Research
Pricing
25
92
o4 Mini Deep Research
Context window size
76
76
Claude Opus 4
Recency
58
83
o4 Mini Deep Research
Output Capacity
75
83
o4 Mini Deep Research
Benchmark Head-to-Head(12 benchmarks)
Claude Opus: 52 tieso4 Mini: 4
Claude Opus
o4 Mini
Normalized 0-100%
MMLU
91%-
MMLU-Pro
80%83%
GPQA Diamond
82.6%81.4%
MATH-500
86%97.3%
HumanEval
95%95%
SWE-bench Verified
72.5%68.1%
AIME 2024
68%93.4%
IFEval
90.5%90%
BBH
89%90.5%
Arena Elo
14201380
LiveBench
72%72%
HLE
28.5%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.

Claude Opus 4Strong Performer

Scores 82/100 (rank #40), placing it in the top 87% 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 1-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 Claude Opus 4 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose o4 Mini Deep Research when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4
Input cost$15.00/M tokens
Output cost$75.00/M tokens
Cost per quality point$1.102
Est. monthly (1M tokens/day)$1350.00
o4 Mini Deep ResearchBest Value
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 Deep Research offers 89% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o4 Mini Deep Research vs $1350.00/month with Claude Opus 4 - a $1200.00 monthly difference.

Latency & Speed
Claude Opus 4Faster
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

Claude Opus 4

Customer support chatbot

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

Claude Opus 4

Long document analysis

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

Claude Opus 4

Batch data extraction

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

o4 Mini Deep Research

Creative writing & content

Higher overall composite score (82/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4

Image understanding & OCR

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

Claude Opus 4
Which Should You Choose?
Our recommendation:
Claude Opus 4

Claude Opus 4 and o4 Mini Deep Research are extremely close in overall performance (only 0.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Claude Opus 4
Recommended

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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

  • Choose for Cost - 89% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4o4 Mini Deep Research
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4

Anthropic

$117.00
estimated monthly cost

o4 Mini Deep Research

OpenAI

Best Value
$13.20
estimated monthly cost

o4 Mini Deep Research saves you $103.80/month

That's 89% cheaper than Claude Opus 4 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
ParameterClaude Opus 4o4 Mini Deep Research
Context Window200K200K
Max Output Tokens32,000100,000
Open SourceNoNo
CreatedMay 22, 2025Oct 10, 2025
Last updated: 39m ago

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