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Qwen3.5-122B-A10B vs GLM 5

Qwen3.5-122B-A10B

Alibaba

78#71
vs
GLM 5

Zhipu AI

78#70
Signal-by-Signal Comparison
SignalQwen3.5-122B-A10BDeltaGLM 5
Capabilities
83
+17
67
Benchmarks
78
-3
81
Pricing
98
+0
98
Context window size
86
+2
84
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
3 wins
of 6
2 wins
Qwen3.5-122B-A10B wins 3 of 6 signals

Score History

Score History (25 data points)
Qwen3.5-122B-A10BGLM 5
Qwen3.5-122B-A10B

77.7

current score

Leader

GLM 5

right now

GLM 5

78

current score

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

Qwen3.5-122B-A10B

Alibaba

Best Value
Per request$0.001300
Daily$4.33
Monthly$130.00
Annual$1560.00

GLM 5

Zhipu AI

Per request$0.002225
Daily$7.42
Monthly$222.50
Annual$2670.00

Qwen3.5-122B-A10B saves you $92.50/month

That's $1110.00/year compared to GLM 5 at your current usage level of 100K calls/month.

42% cheaper
Choose Qwen3.5-122B-A10B for cost optimization

Qwen3.5-122B-A10B pricing:
Input:$0.26/M tokens
Output:$2.08/M tokens
GLM 5 pricing:
Input:$0.95/M tokens
Output:$2.55/M tokens
Qwen3.5-122B-A10B

Alibaba

78

Composite Score

Winner
GLM 5

Zhipu AI

78

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5-122B-A10BGLM 5Winner
Overall Score
78
78
GLM 5
Rank#71#70
GLM 5
Quality Rank#71#70
GLM 5
Adoption Rank#71#70
GLM 5
Parameters122B----
Context Window262K205K
Qwen3.5-122B-A10B
Pricing$0.26/$2.08/M$0.95/$2.55/M--
Signal Scores
Capabilities
83
67
Qwen3.5-122B-A10B
Benchmarks
78
81
GLM 5
Pricing
98
98
Qwen3.5-122B-A10B
Context window size
86
84
Qwen3.5-122B-A10B
Recency
100
100
Qwen3.5-122B-A10B
Output Capacity
80
85
GLM 5
Benchmark Head-to-Head(2 benchmarks)
Qwen3.5-122B-A10B: 1GLM 5: 1
Qwen3.5-122B-A10B
GLM 5
Normalized 0-100%
MMLU-Pro
86.7%86%
Arena Elo
14171457
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.

Qwen3.5-122B-A10BStrong Performer

Scores 78/100 (rank #71), placing it in the top 76% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5Strong Performer

Scores 78/100 (rank #70), placing it in the top 76% 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 Qwen3.5-122B-A10B 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
Qwen3.5-122B-A10BBest Value
Input cost$0.26/M tokens
Output cost$2.08/M tokens
Cost per quality point$0.030
Est. monthly (1M tokens/day)$35.10
GLM 5
Input cost$0.95/M tokens
Output cost$2.55/M tokens
Cost per quality point$0.045
Est. monthly (1M tokens/day)$52.50

Qwen3.5-122B-A10B offers 33% better value per quality point. At 1M tokens/day, you'd spend $35.10/month with Qwen3.5-122B-A10B vs $52.50/month with GLM 5 - a $17.40 monthly difference.

Latency & Speed
Qwen3.5-122B-A10BFaster
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

Qwen3.5-122B-A10B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.5-122B-A10B also offers lower per-token costs for high-volume support

Qwen3.5-122B-A10B

Long document analysis

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

Qwen3.5-122B-A10B

Batch data extraction

Lower output pricing ($2.08/M) reduces costs when processing thousands of records daily

Qwen3.5-122B-A10B

Creative writing & content

Higher overall composite score (78/100) correlates with better nuance, coherence, and style in long-form content

GLM 5

Image understanding & OCR

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

Qwen3.5-122B-A10B
Which Should You Choose?
Our recommendation:
GLM 5

Qwen3.5-122B-A10B and GLM 5 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.

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
GLM 5
Recommended

by Zhipu AI

Consider for specialized use cases.

Capability Comparison
CapabilityQwen3.5-122B-A10BGLM 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)

Qwen3.5-122B-A10B

Alibaba

Best Value
$2.96
estimated monthly cost

GLM 5

Zhipu AI

$4.77
estimated monthly cost

Qwen3.5-122B-A10B saves you $1.81/month

That's 38% 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
ParameterQwen3.5-122B-A10BGLM 5
Context Window262K205K
Max Output Tokens65,536131,072
Open SourceYesYes
CreatedFeb 25, 2026Feb 11, 2026
Last updated: 54m ago

相关对比

Qwen3.5-122B-A10B vs GLM 5 (2026) | LM Market Cap