Skip to content

GPT-5.5 vs Qwen3 Max

GPT-5.5

OpenAI

93#9
vs
Qwen3 Max

Alibaba

67#128
Signal-by-Signal Comparison
SignalGPT-5.5DeltaQwen3 Max
Capabilities
100
+50
50
Benchmarks
93
+24
69
Pricing
70
-26
96
Context window size
96
+10
86
Recency
100
+23
77
Output Capacity
85
+10
75
Overall Result
5 wins
of 6
1 wins
GPT-5.5 wins 5 of 6 signals

Score History

Score History (24 data points)
GPT-5.5Qwen3 Max
GPT-5.5

92.7

current score

Leader

GPT-5.5

right now

Qwen3 Max

67.4

current score

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

GPT-5.5

OpenAI

Per request$0.020000
Daily$66.67
Monthly$2000.00
Annual$24000.00

Qwen3 Max

Alibaba

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

Qwen3 Max saves you $1727.00/month

That's $20724.00/year compared to GPT-5.5 at your current usage level of 100K calls/month.

86% cheaper
Choose Qwen3 Max for cost optimization

GPT-5.5 pricing:
Input:$5.00/M tokens
Output:$30.00/M tokens
Qwen3 Max pricing:
Input:$0.78/M tokens
Output:$3.90/M tokens
Winner
GPT-5.5

OpenAI

93

Composite Score

Qwen3 Max

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.5Qwen3 MaxWinner
Overall Score
93
67
GPT-5.5
Rank#9#128
GPT-5.5
Quality Rank#9#128
GPT-5.5
Adoption Rank#9#128
GPT-5.5
Parameters------
Context Window1050K262K
GPT-5.5
Pricing$5.00/$30.00/M$0.78/$3.90/M--
Signal Scores
Capabilities
100
50
GPT-5.5
Benchmarks
93
69
GPT-5.5
Pricing
70
96
Qwen3 Max
Context window size
96
86
GPT-5.5
Recency
100
77
GPT-5.5
Output Capacity
85
75
GPT-5.5
Benchmark Head-to-Head(6 benchmarks)
GPT-5.5: 0Qwen3 Max: 0
GPT-5.5
Qwen3 Max
Normalized 0-100%
MMLU
92.4%-
MMLU-Pro
-85.7%
GPQA Diamond
93.6%-
SWE-bench Verified
88.7%-
Arena Elo
1475-
HLE
41.4%-
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.

GPT-5.5Elite Tier

Scores 93/100 (rank #9), placing it in the top 97% 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-5.5 has a 25-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-5.5 when you need:

  • Processing long documents or large codebases (1050K 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-5.5
Input cost$5.00/M tokens
Output cost$30.00/M tokens
Cost per quality point$0.378
Est. monthly (1M tokens/day)$525.00
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 87% better value per quality point. At 1M tokens/day, you'd spend $70.20/month with Qwen3 Max vs $525.00/month with GPT-5.5 - a $454.80 monthly difference.

Latency & Speed
GPT-5.5Faster
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-5.5

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-5.5

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.5

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 (93/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.5

Image understanding & OCR

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

GPT-5.5
Which Should You Choose?
Our recommendation:
GPT-5.5

GPT-5.5 clearly outperforms Qwen3 Max with a significant 25.299999999999997-point lead. For most general use cases, GPT-5.5 is the stronger choice. However, Qwen3 Max may still excel in niche scenarios.

GPT-5.5
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 - 87% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.5Qwen3 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-5.5

OpenAI

$45.00
estimated monthly cost

Qwen3 Max

Alibaba

Best Value
$6.08
estimated monthly cost

Qwen3 Max saves you $38.92/month

That's 86% cheaper than GPT-5.5 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-5.5Qwen3 Max
Context Window1.1M262K
Max Output Tokens128,00032,768
Open SourceNoNo
CreatedApr 24, 2026Sep 23, 2025
Last updated: 1h ago

相关对比

GPT-5.5 vs Qwen3 Max (2026) | LM Market Cap