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Ling-2.6-1T vs Qwen3.6 27B

Ling-2.6-1T

inclusionai

40#276
vs
Qwen3.6 27B

Alibaba

40#274
Signal-by-Signal Comparison
SignalLing-2.6-1TDeltaQwen3.6 27B
Capabilities
50
-33
83
Pricing
99
+3
96
Context window size
86
--
86
Recency
100
--
100
Output Capacity
75
-15
90
Overall Result
1 wins
of 5
2 wins
Qwen3.6 27B wins 2 of 5 signals

Score History

Score History (15 data points)
Ling-2.6-1TQwen3.6 27B
Ling-2.6-1T

40

current score

Leader

Tied

right now

Qwen3.6 27B

40

current score

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

Ling-2.6-1T

inclusionai

Best Value
Per request$0.000387
Daily$1.29
Monthly$38.75
Annual$465.00

Qwen3.6 27B

Alibaba

Per request$0.002400
Daily$8.00
Monthly$240.00
Annual$2880.00

Ling-2.6-1T saves you $201.25/month

That's $2415.00/year compared to Qwen3.6 27B at your current usage level of 100K calls/month.

84% cheaper
Choose Ling-2.6-1T for cost optimization

Ling-2.6-1T pricing:
Input:$0.07/M tokens
Output:$0.63/M tokens
Qwen3.6 27B pricing:
Input:$0.60/M tokens
Output:$3.60/M tokens
Tie
Ling-2.6-1T

inclusionai

40

Composite Score

Tie
Qwen3.6 27B

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricLing-2.6-1TQwen3.6 27BWinner
Overall Score
40
40
--
Rank#276#274
Qwen3.6 27B
Quality Rank#276#274
Qwen3.6 27B
Adoption Rank#276#274
Qwen3.6 27B
Parameters--27B--
Context Window262K262K--
Pricing$0.07/$0.63/M$0.60/$3.60/M--
Signal Scores
Capabilities
50
83
Qwen3.6 27B
Pricing
99
96
Ling-2.6-1T
Context window size
86
86
Ling-2.6-1T
Recency
100
100
Ling-2.6-1T
Output Capacity
75
90
Qwen3.6 27B
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.

Ling-2.6-1TEntry Level

Scores 40/100 (rank #276), placing it in the top 5% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.6 27BEntry Level

Scores 40/100 (rank #274), placing it in the top 6% 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 Ling-2.6-1T when you need:

  • High-volume production workloads where API costs must be minimized

Choose Qwen3.6 27B when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Ling-2.6-1TBest Value
Input cost$0.07/M tokens
Output cost$0.63/M tokens
Cost per quality point$0.017
Est. monthly (1M tokens/day)$10.50
Qwen3.6 27B
Input cost$0.60/M tokens
Output cost$3.60/M tokens
Cost per quality point$0.105
Est. monthly (1M tokens/day)$63.00

Ling-2.6-1T offers 83% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with Ling-2.6-1T vs $63.00/month with Qwen3.6 27B - a $52.50 monthly difference.

Latency & Speed
Ling-2.6-1TFaster
Speed score0/100
Qwen3.6 27B
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

Ling-2.6-1T

Customer support chatbot

Suitable for user-facing chat with competitive response times. Ling-2.6-1T also offers lower per-token costs for high-volume support

Ling-2.6-1T

Long document analysis

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

Ling-2.6-1T

Batch data extraction

Lower output pricing ($0.63/M) reduces costs when processing thousands of records daily

Ling-2.6-1T

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Ling-2.6-1T

Image understanding & OCR

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

Qwen3.6 27B
Which Should You Choose?
Our recommendation:
Ling-2.6-1T

Ling-2.6-1T and Qwen3.6 27B are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Ling-2.6-1T
Recommended

by inclusionai

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 83% 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
CapabilityLing-2.6-1TQwen3.6 27B
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Ling-2.6-1T

inclusionai

Best Value
$0.8850
estimated monthly cost

Qwen3.6 27B

Alibaba

$5.40
estimated monthly cost

Ling-2.6-1T saves you $4.52/month

That's 84% cheaper than Qwen3.6 27B 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
ParameterLing-2.6-1TQwen3.6 27B
Context Window262K262K
Max Output Tokens32,768262,144
Open SourceNoYes
CreatedApr 23, 2026Apr 27, 2026
Last updated: 35m ago

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Ling-2.6-1T vs Qwen3.6 27B (2026) | LM Market Cap