Skip to content

GPT-5.6 Luna Pro (batch) vs Qwen3.6 Flash

vs
Qwen3.6 Flash

Alibaba

40#272
Signal-by-Signal Comparison
SignalGPT-5.6 Luna Pro (batch)DeltaQwen3.6 Flash
Capabilities
100
+17
83
Benchmarks
88
+88
0
Pricing
99
+1
99
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
85
+5
80
Overall Result
5 wins
of 6
0 wins
GPT-5.6 Luna Pro (batch) wins 5 of 6 signals

Score History

Score History (15 data points)
GPT-5.6 Luna Pro (batch)Qwen3.6 Flash
GPT-5.6 Luna Pro (batch)

89

current score

Leader

GPT-5.6 Luna Pro (batch)

right now

Qwen3.6 Flash

40

current score

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

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

Qwen3.6 Flash

Alibaba

Per request$0.000750
Daily$2.50
Monthly$75.00
Annual$900.00

GPT-5.6 Luna Pro (batch) saves you $35.00/month

That's $420.00/year compared to Qwen3.6 Flash at your current usage level of 100K calls/month.

47% cheaper
Choose GPT-5.6 Luna Pro (batch) for cost optimization

GPT-5.6 Luna Pro (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Qwen3.6 Flash pricing:
Input:$0.19/M tokens
Output:$1.13/M tokens
Winner
GPT-5.6 Luna Pro (batch)

OpenAI

89

Composite Score

Qwen3.6 Flash

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Luna Pro (batch)Qwen3.6 FlashWinner
Overall Score
89
40
GPT-5.6 Luna Pro (batch)
Rank#33#272
GPT-5.6 Luna Pro (batch)
Quality Rank#33#272
GPT-5.6 Luna Pro (batch)
Adoption Rank#33#272
GPT-5.6 Luna Pro (batch)
Parameters------
Context Window1050K1000K
GPT-5.6 Luna Pro (batch)
Pricing$0.10/$0.60/M$0.19/$1.13/M--
Signal Scores
Capabilities
100
83
GPT-5.6 Luna Pro (batch)
Benchmarks
88
--
GPT-5.6 Luna Pro (batch)
Pricing
99
99
GPT-5.6 Luna Pro (batch)
Context window size
96
95
GPT-5.6 Luna Pro (batch)
Recency
100
100
GPT-5.6 Luna Pro (batch)
Output Capacity
85
80
GPT-5.6 Luna Pro (batch)
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Luna: 0Qwen3.6 Flash: 0
GPT-5.6 Luna
Qwen3.6 Flash
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
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 Luna Pro (batch)Elite Tier

Scores 89/100 (rank #33), placing it in the top 89% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.6 FlashEntry Level

Scores 40/100 (rank #272), placing it in the top 7% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna Pro (batch) has a 49-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 Pro (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.6 Flash when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-5.6 Luna Pro (batch)Best Value
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50
Qwen3.6 Flash
Input cost$0.19/M tokens
Output cost$1.13/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$19.69

GPT-5.6 Luna Pro (batch) offers 47% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna Pro (batch) vs $19.69/month with Qwen3.6 Flash - a $9.19 monthly difference.

Latency & Speed
GPT-5.6 Luna Pro (batch)Faster
Speed score0/100
Qwen3.6 Flash
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 Pro (batch)

Customer support chatbot

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

GPT-5.6 Luna Pro (batch)

Long document analysis

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

GPT-5.6 Luna Pro (batch)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna Pro (batch)

Creative writing & content

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

GPT-5.6 Luna Pro (batch)

Image understanding & OCR

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

GPT-5.6 Luna Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro (batch) clearly outperforms Qwen3.6 Flash with a significant 49-point lead. For most general use cases, GPT-5.6 Luna Pro (batch) is the stronger choice. However, Qwen3.6 Flash may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 47% 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 Luna Pro (batch)Qwen3.6 Flash
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5.6 Luna Pro (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

Qwen3.6 Flash

Alibaba

$1.69
estimated monthly cost

GPT-5.6 Luna Pro (batch) saves you $0.7875/month

That's 47% cheaper than Qwen3.6 Flash 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 Luna Pro (batch)Qwen3.6 Flash
Context Window1.1M1M
Max Output Tokens128,00065,536
Open SourceNoNo
CreatedJul 9, 2026Apr 27, 2026
Last updated: 49m ago

相关对比

GPT-5.6 Luna Pro (batch) vs Qwen3.6 Flash (2026) | LM Market Cap