Skip to content

o1 vs Qwen3.6 Max Preview

o1

OpenAI

74#89
vs
Signal-by-Signal Comparison
Signalo1DeltaQwen3.6 Max Preview
Capabilities
100
+33
67
Benchmarks
77
+2
75
Pricing
40
-54
94
Context window size
76
-2
77
Recency
27
-73
100
Output Capacity
83
+3
80
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (23 data points)
o1Qwen3.6 Max Preview
o1

74

current score

Leader

Qwen3.6 Max Preview

right now

Qwen3.6 Max Preview

74.4

current score

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

o1

OpenAI

Per request$0.045000
Daily$150.00
Monthly$4500.00
Annual$54000.00

Qwen3.6 Max Preview

Alibaba

Best Value
Per request$0.004160
Daily$13.87
Monthly$416.00
Annual$4992.00

Qwen3.6 Max Preview saves you $4084.00/month

That's $49008.00/year compared to o1 at your current usage level of 100K calls/month.

91% cheaper
Choose Qwen3.6 Max Preview for cost optimization

o1 pricing:
Input:$15.00/M tokens
Output:$60.00/M tokens
Qwen3.6 Max Preview pricing:
Input:$1.04/M tokens
Output:$6.24/M tokens
o1

OpenAI

74

Composite Score

Winner
Qwen3.6 Max Preview

Alibaba

74

Composite Score

Signal-by-Signal Comparison
Metrico1Qwen3.6 Max PreviewWinner
Overall Score
74
74
Qwen3.6 Max Preview
Rank#89#87
Qwen3.6 Max Preview
Quality Rank#89#87
Qwen3.6 Max Preview
Adoption Rank#89#87
Qwen3.6 Max Preview
Parameters------
Context Window200K262K
Qwen3.6 Max Preview
Pricing$15.00/$60.00/M$1.04/$6.24/M--
Signal Scores
Capabilities
100
67
o1
Benchmarks
77
75
o1
Pricing
40
94
Qwen3.6 Max Preview
Context window size
76
77
Qwen3.6 Max Preview
Recency
27
100
Qwen3.6 Max Preview
Output Capacity
83
80
o1
Benchmark Head-to-Head(12 benchmarks)
o1: 0Qwen3.6 Max: 1
o1
Qwen3.6 Max
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
13501460
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.

o1Strong Performer

Scores 74/100 (rank #89), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.6 Max PreviewStrong Performer

Scores 74/100 (rank #87), placing it in the top 70% 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 when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.6 Max Preview 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
Input cost$15.00/M tokens
Output cost$60.00/M tokens
Cost per quality point$1.014
Est. monthly (1M tokens/day)$1125.00
Qwen3.6 Max PreviewBest Value
Input cost$1.04/M tokens
Output cost$6.24/M tokens
Cost per quality point$0.098
Est. monthly (1M tokens/day)$109.20

Qwen3.6 Max Preview offers 90% better value per quality point. At 1M tokens/day, you'd spend $109.20/month with Qwen3.6 Max Preview vs $1125.00/month with o1 - a $1015.80 monthly difference.

Latency & Speed
o1Faster
Speed score0/100
Qwen3.6 Max Preview
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.6 Max Preview also offers lower per-token costs for high-volume support

o1

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.6 Max Preview

Batch data extraction

Lower output pricing ($6.24/M) reduces costs when processing thousands of records daily

Qwen3.6 Max Preview

Creative writing & content

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

Qwen3.6 Max Preview

Image understanding & OCR

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

o1
Which Should You Choose?
Our recommendation:
Qwen3.6 Max Preview

o1 and Qwen3.6 Max Preview are extremely close in overall performance (only 0.4000000000000057 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 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 Alibaba

  • Choose for Cost - 90% lower pricing; better value at scale
Capability Comparison
Capabilityo1Qwen3.6 Max Preview
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

o1

OpenAI

$99.00
estimated monthly cost

Qwen3.6 Max Preview

Alibaba

Best Value
$9.36
estimated monthly cost

Qwen3.6 Max Preview saves you $89.64/month

That's 91% cheaper than o1 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
Parametero1Qwen3.6 Max Preview
Context Window200K262K
Max Output Tokens100,00065,536
Open SourceNoNo
CreatedDec 17, 2024Apr 27, 2026
Last updated: 51m ago

相关对比

o1 vs Qwen3.6 Max Preview (2026) | LM Market Cap