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o1-pro vs o1-pro (batch)

o1-pro

OpenAI

74#139
vs
o1-pro (batch)

OpenAI

74#140
Signal-by-Signal Comparison
Signalo1-proDeltao1-pro (batch)
Capabilities
83
--
83
Benchmarks
77
--
77
Pricing
5
--
5
Context window size
84
--
84
Recency
41
--
41
Output Capacity
83
--
83
Overall Result
0 wins
of 6
0 wins
It's a tie - both models win 0 signals each

Score History

Score History (25 data points)
o1-proo1-pro (batch)
o1-pro

73.6

current score

Leader

Tied

right now

o1-pro (batch)

73.6

current score

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

o1-pro

OpenAI

Per request$0.450000
Daily$1500.00
Monthly$45000.00
Annual$540000.00

o1-pro (batch)

OpenAI

Best Value
Per request$0.225000
Daily$750.00
Monthly$22500.00
Annual$270000.00

o1-pro (batch) saves you $22500.00/month

That's $270000.00/year compared to o1-pro at your current usage level of 100K calls/month.

50% cheaper
Choose o1-pro (batch) for cost optimization

o1-pro pricing:
Input:$150.00/M tokens
Output:$600.00/M tokens
o1-pro (batch) pricing:
Input:$75.00/M tokens
Output:$300.00/M tokens
Tie
o1-pro

OpenAI

74

Composite Score

Tie
o1-pro (batch)

OpenAI

74

Composite Score

Signal-by-Signal Comparison
Metrico1-proo1-pro (batch)Winner
Overall Score
74
74
--
Rank#139#140
o1-pro
Quality Rank#139#140
o1-pro
Adoption Rank#139#140
o1-pro
Parameters------
Context Window200K200K--
Pricing$150.00/$600.00/M$75.00/$300.00/M--
Signal Scores
Capabilities
83
83
o1-pro
Benchmarks
77
77
o1-pro
Pricing
5
5
o1-pro
Context window size
84
84
o1-pro
Recency
41
41
o1-pro
Output Capacity
83
83
o1-pro
Benchmark Head-to-Head(12 benchmarks)
o1-pro: 012 tieso1-pro (batch): 0
o1-pro
o1-pro (batch)
Normalized 0-100%
MMLU
91.8%91.8%
MMLU-Pro
80.3%80.3%
GPQA Diamond
78%78%
MATH-500
96.4%96.4%
HumanEval
92.4%92.4%
SWE-bench Verified
48.9%48.9%
AIME 2024
83.3%83.3%
IFEval
86.5%86.5%
BBH
89%89%
Arena Elo
13501350
HLE
8.12%8.12%
BigCodeBench
32.4%32.4%
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.

o1-proStrong Performer

Scores 74/100 (rank #139), placing it in the top 52% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o1-pro (batch)Strong Performer

Scores 74/100 (rank #140), placing it in the top 52% 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 o1-pro when you need:

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

Choose o1-pro (batch) 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
o1-pro
Input cost$150.00/M tokens
Output cost$600.00/M tokens
Cost per quality point$10.190
Est. monthly (1M tokens/day)$11250.00
o1-pro (batch)Best Value
Input cost$75.00/M tokens
Output cost$300.00/M tokens
Cost per quality point$5.095
Est. monthly (1M tokens/day)$5625.00

o1-pro (batch) offers 50% better value per quality point. At 1M tokens/day, you'd spend $5625.00/month with o1-pro (batch) vs $11250.00/month with o1-pro - a $5625.00 monthly difference.

Latency & Speed
o1-proFaster
Speed score0/100
o1-pro (batch)
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

o1-pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. o1-pro (batch) also offers lower per-token costs for high-volume support

o1-pro

Long document analysis

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

o1-pro

Batch data extraction

Lower output pricing ($300.00/M) reduces costs when processing thousands of records daily

o1-pro (batch)

Creative writing & content

Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content

o1-pro

Image understanding & OCR

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

o1-pro
Which Should You Choose?
Our recommendation:
o1-pro

o1-pro and o1-pro (batch) 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.

o1-pro
Recommended

by OpenAI

  • 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 - 50% lower pricing; better value at scale
Capability Comparison
Capabilityo1-proo1-pro (batch)
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)

o1-pro

OpenAI

$990.00
estimated monthly cost

o1-pro (batch)

OpenAI

Best Value
$495.00
estimated monthly cost

o1-pro (batch) saves you $495.00/month

That's 50% cheaper than o1-pro 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
Parametero1-proo1-pro (batch)
Context Window200K200K
Max Output Tokens100,000100,000
Open SourceNoNo
CreatedMar 19, 2025Mar 19, 2025
Last updated: 29m ago

相关对比

o1-pro vs o1-pro (batch) (2026) | LM Market Cap