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Qwen3.8 27B vs Inkling (free)

Qwen3.8 27B

Alibaba

74#144
vs
Inkling (free)

thinkingmachines

73#145
Signal-by-Signal Comparison
SignalQwen3.8 27BDeltaInkling (free)
Capabilities
83
+17
67
Benchmarks
72
-1
72
Pricing
96
-4
100
Context window size
95
0
96
Recency
100
--
100
Output Capacity
86
-1
87
Overall Result
1 wins
of 6
4 wins
Inkling (free) wins 4 of 6 signals

Score History

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

73.5

current score

Leader

Qwen3.8 27B

right now

Inkling (free)

73.2

current score

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

Qwen3.8 27B

Alibaba

Per request$0.002225
Daily$7.42
Monthly$222.49
Annual$2669.88

Inkling (free)

thinkingmachines

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Inkling (free) saves you $222.49/month

That's $2669.88/year compared to Qwen3.8 27B at your current usage level of 100K calls/month.

100% cheaper
Choose Inkling (free) for cost optimization

Qwen3.8 27B pricing:
Input:$0.02/M tokens
Output:$4.40/M tokens
Inkling (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Qwen3.8 27B

Alibaba

74

Composite Score

Inkling (free)

thinkingmachines

73

Composite Score

Signal-by-Signal Comparison
MetricQwen3.8 27BInkling (free)Winner
Overall Score
74
73
Qwen3.8 27B
Rank#144#145
Qwen3.8 27B
Quality Rank#144#145
Qwen3.8 27B
Adoption Rank#144#145
Qwen3.8 27B
Parameters27B----
Context Window1000K1049K
Inkling (free)
Pricing$0.02/$4.40/MFree--
Signal Scores
Capabilities
83
67
Qwen3.8 27B
Benchmarks
72
72
Inkling (free)
Pricing
96
100
Inkling (free)
Context window size
95
96
Inkling (free)
Recency
100
100
Qwen3.8 27B
Output Capacity
86
87
Inkling (free)
Benchmark Head-to-Head(1 benchmarks)
Qwen3.8 27B: 0Inkling (free): 1
Qwen3.8 27B
Inkling (free)
Normalized 0-100%
Arena Elo
14381442
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 #144), placing it in the top 51% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Inkling (free)Strong Performer

Scores 73/100 (rank #145), placing it in the top 50% 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 (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • 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 27B
Input cost$0.02/M tokens
Output cost$4.40/M tokens
Cost per quality point$0.060
Est. monthly (1M tokens/day)$66.37
Inkling (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00

Both models are priced similarly, so the decision comes down to quality and features rather than cost.

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

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

Inkling (free)

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 (free) are extremely close in overall performance (only 0.29999999999999716 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 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

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityQwen3.8 27BInkling (free)
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3.8 27B

Alibaba

$5.32
estimated monthly cost

Inkling (free)

thinkingmachines

Best Value
$0.000000
estimated monthly cost

Inkling (free) saves you $5.32/month

That's 100% cheaper than Qwen3.8 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
ParameterQwen3.8 27BInkling (free)
Context Window1M1.0M
Max Output Tokens235,929262,144
Open SourceYesYes
CreatedAug 14, 2026Jul 17, 2026
Last updated: 17m ago

相关对比

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