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GPT-5.2 vs Qwen3 Max

GPT-5.2

OpenAI

91#19
vs
Qwen3 Max

Alibaba

67#128
Signal-by-Signal Comparison
SignalGPT-5.2DeltaQwen3 Max
Capabilities
100
+50
50
Benchmarks
89
+21
69
Pricing
86
-10
96
Context window size
89
+3
86
Recency
91
+14
77
Output Capacity
85
+10
75
Overall Result
5 wins
of 6
1 wins
GPT-5.2 wins 5 of 6 signals

Score History

Score History (24 data points)
GPT-5.2Qwen3 Max
GPT-5.2

90.5

current score

Leader

GPT-5.2

right now

Qwen3 Max

67.4

current score

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

GPT-5.2

OpenAI

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Qwen3 Max

Alibaba

Best Value
Per request$0.002730
Daily$9.10
Monthly$273.00
Annual$3276.00

Qwen3 Max saves you $602.00/month

That's $7224.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.

69% cheaper
Choose Qwen3 Max for cost optimization

GPT-5.2 pricing:
Input:$1.75/M tokens
Output:$14.00/M tokens
Qwen3 Max pricing:
Input:$0.78/M tokens
Output:$3.90/M tokens
Winner
GPT-5.2

OpenAI

91

Composite Score

Qwen3 Max

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.2Qwen3 MaxWinner
Overall Score
91
67
GPT-5.2
Rank#19#128
GPT-5.2
Quality Rank#19#128
GPT-5.2
Adoption Rank#19#128
GPT-5.2
Parameters------
Context Window400K262K
GPT-5.2
Pricing$1.75/$14.00/M$0.78/$3.90/M--
Signal Scores
Capabilities
100
50
GPT-5.2
Benchmarks
89
69
GPT-5.2
Pricing
86
96
Qwen3 Max
Context window size
89
86
GPT-5.2
Recency
91
77
GPT-5.2
Output Capacity
85
75
GPT-5.2
Benchmark Head-to-Head(11 benchmarks)
GPT-5.2: 1Qwen3 Max: 0
GPT-5.2
Qwen3 Max
Normalized 0-100%
MMLU
93.5%-
MMLU-Pro
86%85.7%
GPQA Diamond
87%-
MATH-500
94%-
HumanEval
97%-
SWE-bench Verified
78%-
IFEval
93%-
BBH
91.5%-
Arena Elo
1481-
LiveBench
77.5%-
HLE
37%-
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-5.2Elite Tier

Scores 91/100 (rank #19), placing it in the top 94% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 MaxCompetitive

Scores 67/100 (rank #128), placing it in the top 56% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.2 has a 23-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.2 when you need:

  • Processing long documents or large codebases (400K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3 Max when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-5.2
Input cost$1.75/M tokens
Output cost$14.00/M tokens
Cost per quality point$0.174
Est. monthly (1M tokens/day)$236.25
Qwen3 MaxBest Value
Input cost$0.78/M tokens
Output cost$3.90/M tokens
Cost per quality point$0.069
Est. monthly (1M tokens/day)$70.20

Qwen3 Max offers 70% better value per quality point. At 1M tokens/day, you'd spend $70.20/month with Qwen3 Max vs $236.25/month with GPT-5.2 - a $166.05 monthly difference.

Latency & Speed
GPT-5.2Faster
Speed score0/100
Qwen3 Max
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-5.2

Customer support chatbot

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

GPT-5.2

Long document analysis

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

GPT-5.2

Batch data extraction

Lower output pricing ($3.90/M) reduces costs when processing thousands of records daily

Qwen3 Max

Creative writing & content

Higher overall composite score (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2

Image understanding & OCR

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

GPT-5.2
Which Should You Choose?
Our recommendation:
GPT-5.2

GPT-5.2 clearly outperforms Qwen3 Max with a significant 23.099999999999994-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, Qwen3 Max may still excel in niche scenarios.

GPT-5.2
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 Alibaba

  • Choose for Cost - 70% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.2Qwen3 Max
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.2

OpenAI

$19.95
estimated monthly cost

Qwen3 Max

Alibaba

Best Value
$6.08
estimated monthly cost

Qwen3 Max saves you $13.87/month

That's 70% cheaper than GPT-5.2 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-5.2Qwen3 Max
Context Window400K262K
Max Output Tokens128,00032,768
Open SourceNoNo
CreatedDec 10, 2025Sep 23, 2025
Last updated: 57m ago

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