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Qwen3.8 27B vs Inkling

Qwen3.8 27B

Alibaba

74#133
vs
Inkling

thinkingmachines

74#134
Signal-by-Signal Comparison
SignalQwen3.8 27BDeltaInkling
Capabilities
83
--
83
Benchmarks
72
--
72
Pricing
97
+1
96
Context window size
95
0
96
Recency
100
--
100
Output Capacity
85
+65
20
Overall Result
2 wins
of 6
1 wins
Qwen3.8 27B wins 2 of 6 signals

Score History

Score History (6 data points)
Qwen3.8 27BInkling
Qwen3.8 27B

73.7

current score

Leader

Tied

right now

Inkling

73.7

current score

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

Qwen3.8 27B

Alibaba

Best Value
Per request$0.001900
Daily$6.33
Monthly$190.00
Annual$2280.00

Inkling

thinkingmachines

Per request$0.003025
Daily$10.08
Monthly$302.50
Annual$3630.00

Qwen3.8 27B saves you $112.50/month

That's $1350.00/year compared to Inkling at your current usage level of 100K calls/month.

37% cheaper
Choose Qwen3.8 27B for cost optimization

Qwen3.8 27B pricing:
Input:$0.40/M tokens
Output:$3.00/M tokens
Inkling pricing:
Input:$1.00/M tokens
Output:$4.05/M tokens
Tie
Qwen3.8 27B

Alibaba

74

Composite Score

Tie
Inkling

thinkingmachines

74

Composite Score

Signal-by-Signal Comparison
MetricQwen3.8 27BInklingWinner
Overall Score
74
74
--
Rank#133#134
Qwen3.8 27B
Quality Rank#133#134
Qwen3.8 27B
Adoption Rank#133#134
Qwen3.8 27B
Parameters27B----
Context Window1000K1049K
Inkling
Pricing$0.40/$3.00/M$1.00/$4.05/M--
Signal Scores
Capabilities
83
83
Qwen3.8 27B
Benchmarks
72
72
Qwen3.8 27B
Pricing
97
96
Qwen3.8 27B
Context window size
95
96
Inkling
Recency
100
100
Qwen3.8 27B
Output Capacity
85
20
Qwen3.8 27B
Benchmark Head-to-Head(1 benchmarks)
Qwen3.8 27B: 01 tiesInkling: 0
Qwen3.8 27B
Inkling
Normalized 0-100%
Arena Elo
14401440
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.

Qwen3.8 27BStrong Performer

Scores 74/100 (rank #133), placing it in the top 54% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
InklingStrong Performer

Scores 74/100 (rank #134), placing it in the top 54% 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 Qwen3.8 27B when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Inkling when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Qwen3.8 27BBest Value
Input cost$0.40/M tokens
Output cost$3.00/M tokens
Cost per quality point$0.046
Est. monthly (1M tokens/day)$51.00
Inkling
Input cost$1.00/M tokens
Output cost$4.05/M tokens
Cost per quality point$0.069
Est. monthly (1M tokens/day)$75.75

Qwen3.8 27B offers 33% better value per quality point. At 1M tokens/day, you'd spend $51.00/month with Qwen3.8 27B vs $75.75/month with Inkling - a $24.75 monthly difference.

Latency & Speed
Qwen3.8 27BFaster
Speed score0/100
Inkling
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

Qwen3.8 27B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.8 27B also offers lower per-token costs for high-volume support

Qwen3.8 27B

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Inkling

Batch data extraction

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

Qwen3.8 27B

Creative writing & content

Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.8 27B

Image understanding & OCR

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

Qwen3.8 27B
Which Should You Choose?
Our recommendation:
Qwen3.8 27B

Qwen3.8 27B and Inkling 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.

Qwen3.8 27B
Recommended

by Alibaba

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 33% 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 thinkingmachines

Consider for specialized use cases.

Capability Comparison
CapabilityQwen3.8 27BInkling
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3.8 27B

Alibaba

Best Value
$4.32
estimated monthly cost

Inkling

thinkingmachines

$6.66
estimated monthly cost

Qwen3.8 27B saves you $2.34/month

That's 35% cheaper than Inkling 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
ParameterQwen3.8 27BInkling
Context Window1M1.0M
Max Output Tokens131,072--
Open SourceYesYes
CreatedAug 14, 2026Jul 17, 2026
Last updated: 6m ago

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Qwen3.8 27B vs Inkling (2026) | LM Market Cap