o1-pro vs Qwen3.6 Plus

OpenAI

73#94

Alibaba

74#91

Signal-by-Signal Comparison

Signal	o1-pro	Delta	Qwen3.6 Plus
Capabilities	83	--	83
Benchmarks	77	+4	73
Pricing	5	-93	98
Context window size	76	-10	86
Recency	44	-56	100
Output Capacity	83	+3	80
Overall Result	2 wins	of 6	3 wins

Qwen3.6 Plus wins 3 of 6 signals

Score History

Score History (23 data points)

o1-proQwen3.6 Plus

o1-pro

73.2

current score

Leader

Qwen3.6 Plus

right now

Qwen3.6 Plus

73.7

current score

LMMarketCap.com

Interactive Price Comparison

Quick presets

Monthly API calls

100Kcalls/month

Avg. input tokens/call

1,000tokens (~1,333 chars)

Avg. output tokens/call

500tokens (~667 chars)

o1-pro

OpenAI

Per request$0.450000

Daily$1500.00

Monthly$45000.00

Annual$540000.00

Qwen3.6 Plus

Alibaba

Best Value

Per request$0.001300

Daily$4.33

Monthly$130.00

Annual$1560.00

Qwen3.6 Plus saves you $44870.00/month

That's $538440.00/year compared to o1-pro at your current usage level of 100K calls/month.

100% cheaper

Choose Qwen3.6 Plus for cost optimization

o1-pro pricing:

Input:$150.00/M tokens

Output:$600.00/M tokens

Qwen3.6 Plus pricing:

Input:$0.33/M tokens

Output:$1.95/M tokens

o1-pro

OpenAI

Composite Score

Winner

Qwen3.6 Plus

Alibaba

Composite Score

Signal-by-Signal Comparison

Metric	o1-pro	Qwen3.6 Plus	Winner
Overall Score	73	74	Qwen3.6 Plus
Rank	#94	#91	Qwen3.6 Plus
Quality Rank	#94	#91	Qwen3.6 Plus
Adoption Rank	#94	#91	Qwen3.6 Plus
Parameters	--	--	--
Context Window	200K	1000K	Qwen3.6 Plus
Pricing	$150.00/$600.00/M	$0.33/$1.95/M	--
Signal Scores
Capabilities	83	83	o1-pro
Benchmarks	77	73	o1-pro
Pricing	5	98	Qwen3.6 Plus
Context window size	76	86	Qwen3.6 Plus
Recency	44	100	Qwen3.6 Plus
Output Capacity	83	80	o1-pro

Benchmark Head-to-Head(12 benchmarks)

o1-pro: 0Qwen3.6 Plus: 1

o1-pro

Qwen3.6 Plus

Normalized 0-100%

MMLU

91.8%-

MMLU-Pro

80.3%-

GPQA Diamond

78%-

MATH-500

96.4%-

HumanEval

92.4%-

SWE-bench Verified

48.9%-

AIME 2024

83.3%-

IFEval

86.5%-

BBH

89%-

Arena Elo

13501444

HLE

8.12%-

BigCodeBench

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 73/100 (rank #94), placing it in the top 68% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

Qwen3.6 PlusStrong Performer

Scores 74/100 (rank #91), placing it in the top 69% 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 o1-pro when you need:

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

Choose Qwen3.6 Plus when you need:

High-volume production workloads where API costs must be minimized
Processing long documents or large codebases (1000K token context)
Agentic applications using tool/function calling
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$10.246

Est. monthly (1M tokens/day)$11250.00

Qwen3.6 PlusBest Value

Input cost$0.33/M tokens

Output cost$1.95/M tokens

Cost per quality point$0.031

Est. monthly (1M tokens/day)$34.13

Qwen3.6 Plus offers 100% better value per quality point. At 1M tokens/day, you'd spend $34.13/month with Qwen3.6 Plus vs $11250.00/month with o1-pro - a $11215.88 monthly difference.

Latency & Speed

o1-proFaster

Speed score0/100

Qwen3.6 Plus

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. Qwen3.6 Plus also offers lower per-token costs for high-volume support

o1-pro

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.6 Plus

Batch data extraction

Lower output pricing ($1.95/M) reduces costs when processing thousands of records daily

Qwen3.6 Plus

Creative writing & content

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

Qwen3.6 Plus

Image understanding & OCR

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

o1-pro

Which Should You Choose?

Our recommendation:

Qwen3.6 Plus

o1-pro and Qwen3.6 Plus are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

By Use Case

Best for Quality

o1-pro

Marginally better benchmark scores; both are excellent

Best for Cost

Qwen3.6 Plus

100% lower pricing; better value at scale

Best for Reliability

o1-pro

Higher uptime and faster response speeds

Best for Prototyping

o1-pro

Stronger community support and better developer experience

Best for Production

o1-pro

Wider enterprise adoption and proven at scale

o1-pro

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