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GPT-5.1-Codex-Mini vs o3 Deep Research

vs
o3 Deep Research

OpenAI

86#29
Signal-by-Signal Comparison
SignalGPT-5.1-Codex-MiniDeltao3 Deep Research
Capabilities
100
--
100
Benchmarks
88
0
88
Pricing
98
+38
60
Context window size
80
+4
76
Recency
90
+6
83
Output Capacity
83
--
83
Overall Result
3 wins
of 6
1 wins
GPT-5.1-Codex-Mini wins 3 of 6 signals

Score History

Score History (21 data points)
GPT-5.1-Codex-Minio3 Deep Research
GPT-5.1-Codex-Mini

87.4

current score

Leader

GPT-5.1-Codex-Mini

right now

o3 Deep Research

86.3

current score

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

GPT-5.1-Codex-Mini

OpenAI

Best Value
Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

o3 Deep Research

OpenAI

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

GPT-5.1-Codex-Mini saves you $2875.00/month

That's $34500.00/year compared to o3 Deep Research at your current usage level of 100K calls/month.

96% cheaper
Choose GPT-5.1-Codex-Mini for cost optimization

GPT-5.1-Codex-Mini pricing:
Input:$0.25/M tokens
Output:$2.00/M tokens
o3 Deep Research pricing:
Input:$10.00/M tokens
Output:$40.00/M tokens
Winner
GPT-5.1-Codex-Mini

OpenAI

87

Composite Score

o3 Deep Research

OpenAI

86

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.1-Codex-Minio3 Deep ResearchWinner
Overall Score
87
86
GPT-5.1-Codex-Mini
Rank#27#29
GPT-5.1-Codex-Mini
Quality Rank#27#29
GPT-5.1-Codex-Mini
Adoption Rank#27#29
GPT-5.1-Codex-Mini
Parameters------
Context Window400K200K
GPT-5.1-Codex-Mini
Pricing$0.25/$2.00/M$10.00/$40.00/M--
Signal Scores
Capabilities
100
100
GPT-5.1-Codex-Mini
Benchmarks
88
88
o3 Deep Research
Pricing
98
60
GPT-5.1-Codex-Mini
Context window size
80
76
GPT-5.1-Codex-Mini
Recency
90
83
GPT-5.1-Codex-Mini
Output Capacity
83
83
GPT-5.1-Codex-Mini
Benchmark Head-to-Head(12 benchmarks)
GPT-5.1-Codex-Mini: 4o3 Deep: 7
GPT-5.1-Codex-Mini
o3 Deep
Normalized 0-100%
MMLU
93.2%92.3%
MMLU-Pro
85%85.8%
GPQA Diamond
86.5%87.7%
MATH-500
93.5%99%
HumanEval
96.8%97%
SWE-bench Verified
76.5%71.7%
AIME 2024
-96.7%
IFEval
92.5%92%
BBH
91%93%
Arena Elo
14751415
LiveBench
74%74.8%
HLE
23.68%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.

GPT-5.1-Codex-MiniElite Tier

Scores 87/100 (rank #27), placing it in the top 91% 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 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 GPT-5.1-Codex-Mini when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (400K token context)
  • 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
GPT-5.1-Codex-MiniBest Value
Input cost$0.25/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.026
Est. monthly (1M tokens/day)$33.75
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

GPT-5.1-Codex-Mini offers 96% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with GPT-5.1-Codex-Mini vs $750.00/month with o3 Deep Research - a $716.25 monthly difference.

Latency & Speed
GPT-5.1-Codex-MiniFaster
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

GPT-5.1-Codex-Mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.1-Codex-Mini also offers lower per-token costs for high-volume support

GPT-5.1-Codex-Mini

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.1-Codex-Mini

Batch data extraction

Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily

GPT-5.1-Codex-Mini

Creative writing & content

Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.1-Codex-Mini

Image understanding & OCR

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

GPT-5.1-Codex-Mini
Which Should You Choose?
Our recommendation:
GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini and o3 Deep Research are extremely close in overall performance (only 1.1000000000000085 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 96% 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
CapabilityGPT-5.1-Codex-Minio3 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)

GPT-5.1-Codex-Mini

OpenAI

Best Value
$2.85
estimated monthly cost

o3 Deep Research

OpenAI

$66.00
estimated monthly cost

GPT-5.1-Codex-Mini saves you $63.15/month

That's 96% 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
ParameterGPT-5.1-Codex-Minio3 Deep Research
Context Window400K200K
Max Output Tokens100,000100,000
Open SourceNoNo
CreatedNov 13, 2025Oct 10, 2025
Last updated: 16m ago

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GPT-5.1-Codex-Mini vs o3 Deep Research (2026) | LM Market Cap