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GPT-5.6 Luna vs Qwen3 Max

GPT-5.6 Luna

OpenAI

89#22
vs
Qwen3 Max

Alibaba

67#128
Signal-by-Signal Comparison
SignalGPT-5.6 LunaDeltaQwen3 Max
Capabilities
100
+50
50
Benchmarks
88
+19
69
Pricing
97
+1
96
Context window size
96
+10
86
Recency
100
+23
77
Output Capacity
85
+10
75
Overall Result
6 wins
of 6
0 wins
GPT-5.6 Luna wins 6 of 6 signals

Score History

Score History (24 data points)
GPT-5.6 LunaQwen3 Max
GPT-5.6 Luna

89

current score

Leader

GPT-5.6 Luna

right now

Qwen3 Max

67.4

current score

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

GPT-5.6 Luna

OpenAI

Best Value
Per request$0.002000
Daily$6.67
Monthly$200.00
Annual$2400.00

Qwen3 Max

Alibaba

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

GPT-5.6 Luna saves you $73.00/month

That's $876.00/year compared to Qwen3 Max at your current usage level of 100K calls/month.

27% cheaper
Choose GPT-5.6 Luna for cost optimization

GPT-5.6 Luna pricing:
Input:$0.50/M tokens
Output:$3.00/M tokens
Qwen3 Max pricing:
Input:$0.78/M tokens
Output:$3.90/M tokens
Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Qwen3 Max

Alibaba

67

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 LunaQwen3 MaxWinner
Overall Score
89
67
GPT-5.6 Luna
Rank#22#128
GPT-5.6 Luna
Quality Rank#22#128
GPT-5.6 Luna
Adoption Rank#22#128
GPT-5.6 Luna
Parameters------
Context Window1050K262K
GPT-5.6 Luna
Pricing$0.50/$3.00/M$0.78/$3.90/M--
Signal Scores
Capabilities
100
50
GPT-5.6 Luna
Benchmarks
88
69
GPT-5.6 Luna
Pricing
97
96
GPT-5.6 Luna
Context window size
96
86
GPT-5.6 Luna
Recency
100
77
GPT-5.6 Luna
Output Capacity
85
75
GPT-5.6 Luna
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0Qwen3 Max: 1
GPT-5.6 Luna
Qwen3 Max
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%85.7%
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
1465-
LiveBench
76%-
HLE
35%-
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-5.6 LunaElite Tier

Scores 89/100 (rank #22), placing it in the top 93% 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-5.6 Luna has a 22-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-5.6 Luna 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:

  • Budget-friendly applications with moderate quality requirements
Cost-Performance Analysis
GPT-5.6 LunaBest Value
Input cost$0.50/M tokens
Output cost$3.00/M tokens
Cost per quality point$0.039
Est. monthly (1M tokens/day)$52.50
Qwen3 Max
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

GPT-5.6 Luna offers 25% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-5.6 Luna vs $70.20/month with Qwen3 Max - a $17.70 monthly difference.

Latency & Speed
GPT-5.6 LunaFaster
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-5.6 Luna

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna also offers lower per-token costs for high-volume support

GPT-5.6 Luna

Long document analysis

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

GPT-5.6 Luna

Batch data extraction

Lower output pricing ($3.00/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna

Image understanding & OCR

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

GPT-5.6 Luna
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna clearly outperforms Qwen3 Max with a significant 21.599999999999994-point lead. For most general use cases, GPT-5.6 Luna is the stronger choice. However, Qwen3 Max may still excel in niche scenarios.

GPT-5.6 Luna
Recommended

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 25% lower pricing; better value at scale
  • 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

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-5.6 LunaQwen3 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-5.6 Luna

OpenAI

Best Value
$4.50
estimated monthly cost

Qwen3 Max

Alibaba

$6.08
estimated monthly cost

GPT-5.6 Luna saves you $1.58/month

That's 26% cheaper than Qwen3 Max 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-5.6 LunaQwen3 Max
Context Window1.1M262K
Max Output Tokens128,00032,768
Open SourceNoNo
CreatedJul 9, 2026Sep 23, 2025
Last updated: 1h ago

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