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Qwen3.5 397B A17B vs GLM 5

Qwen3.5 397B A17B

Alibaba

71#113
vs
GLM 5

Zhipu AI

68#138
Signal-by-Signal Comparison
SignalQwen3.5 397B A17BDeltaGLM 5
Capabilities
83
+17
67
Benchmarks
70
+1
69
Pricing
96
0
97
Context window size
86
+2
84
Recency
85
+1
84
Output Capacity
86
+4
82
Overall Result
5 wins
of 6
1 wins
Qwen3.5 397B A17B wins 5 of 6 signals

Score History

Score History (38 data points)
Qwen3.5 397B A17BGLM 5
Qwen3.5 397B A17B

70.7

current score

Leader

Qwen3.5 397B A17B

right now

GLM 5

68.3

current score

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

Qwen3.5 397B A17B

Alibaba

Best Value
Per request$0.002300
Daily$7.67
Monthly$230.00
Annual$2760.00

GLM 5

Zhipu AI

Per request$0.002600
Daily$8.67
Monthly$260.00
Annual$3120.00

Qwen3.5 397B A17B saves you $30.00/month

That's $360.00/year compared to GLM 5 at your current usage level of 100K calls/month.

12% cheaper
Choose Qwen3.5 397B A17B for cost optimization

Qwen3.5 397B A17B pricing:
Input:$0.50/M tokens
Output:$3.60/M tokens
GLM 5 pricing:
Input:$1.00/M tokens
Output:$3.20/M tokens
Winner
Qwen3.5 397B A17B

Alibaba

71

Composite Score

GLM 5

Zhipu AI

68

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5 397B A17BGLM 5Winner
Overall Score
71
68
Qwen3.5 397B A17B
Rank#113#138
Qwen3.5 397B A17B
Quality Rank#113#138
Qwen3.5 397B A17B
Adoption Rank#113#138
Qwen3.5 397B A17B
Parameters397B----
Context Window262K205K
Qwen3.5 397B A17B
Pricing$0.50/$3.60/M$1.00/$3.20/M--
Signal Scores
Capabilities
83
67
Qwen3.5 397B A17B
Benchmarks
70
69
Qwen3.5 397B A17B
Pricing
96
97
GLM 5
Context window size
86
84
Qwen3.5 397B A17B
Recency
85
84
Qwen3.5 397B A17B
Output Capacity
86
82
Qwen3.5 397B A17B
Benchmark Head-to-Head(1 benchmarks)
Qwen3.5 397B: 1GLM 5: 0
Qwen3.5 397B
GLM 5
Normalized 0-100%
MMLU-Pro
87.8%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 397B A17BStrong Performer

Scores 71/100 (rank #113), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5Competitive

Scores 68/100 (rank #138), placing it in the top 53% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 397B A17B 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

Choose GLM 5 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 397B A17BBest Value
Input cost$0.50/M tokens
Output cost$3.60/M tokens
Cost per quality point$0.058
Est. monthly (1M tokens/day)$61.50
GLM 5
Input cost$1.00/M tokens
Output cost$3.20/M tokens
Cost per quality point$0.061
Est. monthly (1M tokens/day)$63.00

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

Latency & Speed
Qwen3.5 397B A17BFaster
Speed score0/100
GLM 5
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 397B A17B

Customer support chatbot

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

Qwen3.5 397B A17B

Long document analysis

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

Qwen3.5 397B A17B

Batch data extraction

Lower output pricing ($3.20/M) reduces costs when processing thousands of records daily

GLM 5

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.5 397B A17B

Image understanding & OCR

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

Qwen3.5 397B A17B
Which Should You Choose?
Our recommendation:
Qwen3.5 397B A17B

Qwen3.5 397B A17B and GLM 5 are extremely close in overall performance (only 2.4000000000000057 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Alibaba

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 2% 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 397B A17BGLM 5
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 397B A17B

Alibaba

Best Value
$5.22
estimated monthly cost

GLM 5

Zhipu AI

$5.64
estimated monthly cost

Qwen3.5 397B A17B saves you $0.4200/month

That's 7% cheaper than GLM 5 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 397B A17BGLM 5
Context Window262K205K
Max Output Tokens235,929131,072
Open SourceYesYes
CreatedFeb 16, 2026Feb 11, 2026
Last updated: 9m ago

相关对比

Qwen3.5 397B A17B vs GLM 5 (2026) | LM Market Cap