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Qwen3.5-27B vs GLM 5V Turbo

Qwen3.5-27B

Alibaba

69#135
vs
GLM 5V Turbo

Zhipu AI

69#137
Signal-by-Signal Comparison
SignalQwen3.5-27BDeltaGLM 5V Turbo
Capabilities
83
--
83
Benchmarks
69
+0
69
Pricing
97
+1
96
Context window size
86
+2
84
Recency
91
-6
97
Output Capacity
79
-3
82
Overall Result
3 wins
of 6
2 wins
Qwen3.5-27B wins 3 of 6 signals

Score History

Score History (35 data points)
Qwen3.5-27BGLM 5V Turbo
Qwen3.5-27B

69.3

current score

Leader

Qwen3.5-27B

right now

GLM 5V Turbo

69.2

current score

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

Qwen3.5-27B

Alibaba

Best Value
Per request$0.001560
Daily$5.20
Monthly$156.00
Annual$1872.00

GLM 5V Turbo

Zhipu AI

Per request$0.003200
Daily$10.67
Monthly$320.00
Annual$3840.00

Qwen3.5-27B saves you $164.00/month

That's $1968.00/year compared to GLM 5V Turbo at your current usage level of 100K calls/month.

51% cheaper
Choose Qwen3.5-27B for cost optimization

Qwen3.5-27B pricing:
Input:$0.26/M tokens
Output:$2.60/M tokens
GLM 5V Turbo pricing:
Input:$1.20/M tokens
Output:$4.00/M tokens
Winner
Qwen3.5-27B

Alibaba

69

Composite Score

GLM 5V Turbo

Zhipu AI

69

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5-27BGLM 5V TurboWinner
Overall Score
69
69
Qwen3.5-27B
Rank#135#137
Qwen3.5-27B
Quality Rank#135#137
Qwen3.5-27B
Adoption Rank#135#137
Qwen3.5-27B
Parameters27B----
Context Window262K203K
Qwen3.5-27B
Pricing$0.26/$2.60/M$1.20/$4.00/M--
Signal Scores
Capabilities
83
83
Qwen3.5-27B
Benchmarks
69
69
Qwen3.5-27B
Pricing
97
96
Qwen3.5-27B
Context window size
86
84
Qwen3.5-27B
Recency
91
97
GLM 5V Turbo
Output Capacity
79
82
GLM 5V Turbo
Benchmark Head-to-Head(1 benchmarks)
Qwen3.5-27B: 1GLM 5V: 0
Qwen3.5-27B
GLM 5V
Normalized 0-100%
MMLU-Pro
86.1%86%
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.

Qwen3.5-27BCompetitive

Scores 69/100 (rank #135), placing it in the top 54% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5V TurboCompetitive

Scores 69/100 (rank #137), placing it in the top 53% 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 Qwen3.5-27B 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

Choose GLM 5V Turbo when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Qwen3.5-27BBest Value
Input cost$0.26/M tokens
Output cost$2.60/M tokens
Cost per quality point$0.041
Est. monthly (1M tokens/day)$42.90
GLM 5V Turbo
Input cost$1.20/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$78.00

Qwen3.5-27B offers 45% better value per quality point. At 1M tokens/day, you'd spend $42.90/month with Qwen3.5-27B vs $78.00/month with GLM 5V Turbo - a $35.10 monthly difference.

Latency & Speed
Qwen3.5-27BFaster
Speed score0/100
GLM 5V Turbo
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

Qwen3.5-27B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.5-27B also offers lower per-token costs for high-volume support

Qwen3.5-27B

Long document analysis

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

Qwen3.5-27B

Batch data extraction

Lower output pricing ($2.60/M) reduces costs when processing thousands of records daily

Qwen3.5-27B

Creative writing & content

Higher overall composite score (69/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.5-27B

Image understanding & OCR

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

Qwen3.5-27B
Which Should You Choose?
Our recommendation:
Qwen3.5-27B

Qwen3.5-27B and GLM 5V Turbo are extremely close in overall performance (only 0.09999999999999432 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Qwen3.5-27B
Recommended

by Alibaba

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 45% 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 Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityQwen3.5-27BGLM 5V Turbo
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)

Qwen3.5-27B

Alibaba

Best Value
$3.59
estimated monthly cost

GLM 5V Turbo

Zhipu AI

$6.96
estimated monthly cost

Qwen3.5-27B saves you $3.37/month

That's 48% cheaper than GLM 5V Turbo 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
ParameterQwen3.5-27BGLM 5V Turbo
Context Window262K203K
Max Output Tokens81,920131,072
Open SourceYesNo
CreatedFeb 25, 2026Apr 1, 2026
Last updated: 15m ago

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