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Qwen3.5-27B vs GLM 5.1

Qwen3.5-27B

Alibaba

77#63
vs
GLM 5.1

Zhipu AI

76#65
Signal-by-Signal Comparison
SignalQwen3.5-27BDeltaGLM 5.1
Capabilities
83
+17
67
Benchmarks
77
+1
76
Pricing
98
+1
97
Context window size
77
+2
76
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
4 wins
of 6
1 wins
Qwen3.5-27B wins 4 of 6 signals

Score History

Score History (21 data points)
Qwen3.5-27BGLM 5.1
Qwen3.5-27B

76.6

current score

Leader

Qwen3.5-27B

right now

GLM 5.1

75.8

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$0.000975
Daily$3.25
Monthly$97.50
Annual$1170.00

GLM 5.1

Zhipu AI

Per request$0.002484
Daily$8.28
Monthly$248.40
Annual$2980.80

Qwen3.5-27B saves you $150.90/month

That's $1810.80/year compared to GLM 5.1 at your current usage level of 100K calls/month.

61% cheaper
Choose Qwen3.5-27B for cost optimization

Qwen3.5-27B pricing:
Input:$0.20/M tokens
Output:$1.56/M tokens
GLM 5.1 pricing:
Input:$0.97/M tokens
Output:$3.04/M tokens
Winner
Qwen3.5-27B

Alibaba

77

Composite Score

GLM 5.1

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5-27BGLM 5.1Winner
Overall Score
77
76
Qwen3.5-27B
Rank#63#65
Qwen3.5-27B
Quality Rank#63#65
Qwen3.5-27B
Adoption Rank#63#65
Qwen3.5-27B
Parameters27B----
Context Window262K203K
Qwen3.5-27B
Pricing$0.20/$1.56/M$0.97/$3.04/M--
Signal Scores
Capabilities
83
67
Qwen3.5-27B
Benchmarks
77
76
Qwen3.5-27B
Pricing
98
97
Qwen3.5-27B
Context window size
77
76
Qwen3.5-27B
Recency
100
100
Qwen3.5-27B
Output Capacity
80
85
GLM 5.1
Benchmark Head-to-Head(2 benchmarks)
Qwen3.5-27B: 0GLM 5.1: 1
Qwen3.5-27B
GLM 5.1
Normalized 0-100%
MMLU-Pro
86.1%-
Arena Elo
14091472
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.

Qwen3.5-27BStrong Performer

Scores 77/100 (rank #63), placing it in the top 79% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.1Strong Performer

Scores 76/100 (rank #65), placing it in the top 78% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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
  • 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

Choose GLM 5.1 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
Qwen3.5-27BBest Value
Input cost$0.20/M tokens
Output cost$1.56/M tokens
Cost per quality point$0.023
Est. monthly (1M tokens/day)$26.33
GLM 5.1
Input cost$0.97/M tokens
Output cost$3.04/M tokens
Cost per quality point$0.053
Est. monthly (1M tokens/day)$60.03

Qwen3.5-27B offers 56% better value per quality point. At 1M tokens/day, you'd spend $26.33/month with Qwen3.5-27B vs $60.03/month with GLM 5.1 - a $33.70 monthly difference.

Latency & Speed
Qwen3.5-27BFaster
Speed score0/100
GLM 5.1
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 ($1.56/M) reduces costs when processing thousands of records daily

Qwen3.5-27B

Creative writing & content

Higher overall composite score (77/100) 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 5.1 are extremely close in overall performance (only 0.7999999999999972 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 - 56% 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 5.1
Vision (Image Input)differs
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
$2.22
estimated monthly cost

GLM 5.1

Zhipu AI

$5.38
estimated monthly cost

Qwen3.5-27B saves you $3.16/month

That's 59% cheaper than GLM 5.1 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 5.1
Context Window262K203K
Max Output Tokens65,536128,000
Open SourceYesYes
CreatedFeb 25, 2026Apr 7, 2026
Last updated: 52m ago

相关对比

Qwen3.5-27B vs GLM 5.1 (2026) | LM Market Cap