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Qwen3.5-35B-A3B vs GLM 5.2 (free)

Qwen3.5-35B-A3B

Alibaba

76#118
vs
GLM 5.2 (free)

Zhipu AI

76#119
Signal-by-Signal Comparison
SignalQwen3.5-35B-A3BDeltaGLM 5.2 (free)
Capabilities
83
+50
33
Benchmarks
76
-5
81
Pricing
99
-1
100
Context window size
86
+14
72
Recency
95
-5
100
Output Capacity
67
-4
72
Overall Result
2 wins
of 6
4 wins
GLM 5.2 (free) wins 4 of 6 signals

Score History

Score History (32 data points)
Qwen3.5-35B-A3BGLM 5.2 (free)
Qwen3.5-35B-A3B

76

current score

Leader

Qwen3.5-35B-A3B

right now

GLM 5.2 (free)

75.7

current score

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

Qwen3.5-35B-A3B

Alibaba

Per request$0.000937
Daily$3.13
Monthly$93.75
Annual$1125.00

GLM 5.2 (free)

Zhipu AI

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

GLM 5.2 (free) saves you $93.75/month

That's $1125.00/year compared to Qwen3.5-35B-A3B at your current usage level of 100K calls/month.

100% cheaper
Choose GLM 5.2 (free) for cost optimization

Qwen3.5-35B-A3B pricing:
Input:$0.31/M tokens
Output:$1.25/M tokens
GLM 5.2 (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Winner
Qwen3.5-35B-A3B

Alibaba

76

Composite Score

GLM 5.2 (free)

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricQwen3.5-35B-A3BGLM 5.2 (free)Winner
Overall Score
76
76
Qwen3.5-35B-A3B
Rank#118#119
Qwen3.5-35B-A3B
Quality Rank#118#119
Qwen3.5-35B-A3B
Adoption Rank#118#119
Qwen3.5-35B-A3B
Parameters35B----
Context Window262K33K
Qwen3.5-35B-A3B
Pricing$0.31/$1.25/MFree--
Signal Scores
Capabilities
83
33
Qwen3.5-35B-A3B
Benchmarks
76
81
GLM 5.2 (free)
Pricing
99
100
GLM 5.2 (free)
Context window size
86
72
Qwen3.5-35B-A3B
Recency
95
100
GLM 5.2 (free)
Output Capacity
67
72
GLM 5.2 (free)
Benchmark Head-to-Head(2 benchmarks)
Qwen3.5-35B-A3B: 0GLM 5.2: 2
Qwen3.5-35B-A3B
GLM 5.2
Normalized 0-100%
MMLU-Pro
85.3%86%
Arena Elo
13951458
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.

Qwen3.5-35B-A3BStrong Performer

Scores 76/100 (rank #118), placing it in the top 60% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM 5.2 (free)Strong Performer

Scores 76/100 (rank #119), placing it in the top 59% 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 Qwen3.5-35B-A3B when you need:

  • Processing long documents or large codebases (262K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose GLM 5.2 (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
Qwen3.5-35B-A3B
Input cost$0.31/M tokens
Output cost$1.25/M tokens
Cost per quality point$0.021
Est. monthly (1M tokens/day)$23.44
GLM 5.2 (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
Qwen3.5-35B-A3BFaster
Speed score0/100
GLM 5.2 (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

Qwen3.5-35B-A3B

Customer support chatbot

Suitable for user-facing chat with competitive response times. GLM 5.2 (free) also offers lower per-token costs for high-volume support

Qwen3.5-35B-A3B

Long document analysis

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

Qwen3.5-35B-A3B

Batch data extraction

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

GLM 5.2 (free)

Creative writing & content

Higher overall composite score (76/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.5-35B-A3B

Image understanding & OCR

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

Qwen3.5-35B-A3B
Which Should You Choose?
Our recommendation:
Qwen3.5-35B-A3B

Qwen3.5-35B-A3B and GLM 5.2 (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.

Qwen3.5-35B-A3B
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 Zhipu AI

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityQwen3.5-35B-A3BGLM 5.2 (free)
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Modediffers
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3.5-35B-A3B

Alibaba

$2.06
estimated monthly cost

GLM 5.2 (free)

Zhipu AI

Best Value
$0.000000
estimated monthly cost

GLM 5.2 (free) saves you $2.06/month

That's 100% cheaper than Qwen3.5-35B-A3B 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
ParameterQwen3.5-35B-A3BGLM 5.2 (free)
Context Window262K33K
Max Output Tokens16,38429,491
Open SourceYesYes
CreatedFeb 25, 2026Jun 16, 2026
Last updated: 11m ago

相关对比

Qwen3.5-35B-A3B vs GLM 5.2 (free) (2026) | LM Market Cap