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Qwen3.8 Max (0902) vs GLM 5.2 (free)

Qwen3.8 Max (0902)

Alibaba

76#122
vs
GLM 5.2 (free)

Zhipu AI

76#120
Signal-by-Signal Comparison
SignalQwen3.8 Max (0902)DeltaGLM 5.2 (free)
Capabilities
83
+50
33
Pricing
94
-6
100
Context window size
95
+24
72
Recency
100
--
100
Output Capacity
82
+10
72
Benchmarks
0
-81
81
Overall Result
3 wins
of 6
2 wins
Qwen3.8 Max (0902) wins 3 of 6 signals

Score History

Score History (6 data points)
Qwen3.8 Max (0902)GLM 5.2 (free)
Qwen3.8 Max (0902)

75.6

current score

Leader

GLM 5.2 (free)

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)

Qwen3.8 Max (0902)

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

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 $500.00/month

That's $6000.00/year compared to Qwen3.8 Max (0902) at your current usage level of 100K calls/month.

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

Qwen3.8 Max (0902) pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
GLM 5.2 (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Qwen3.8 Max (0902)

Alibaba

76

Composite Score

Winner
GLM 5.2 (free)

Zhipu AI

76

Composite Score

Signal-by-Signal Comparison
MetricQwen3.8 Max (0902)GLM 5.2 (free)Winner
Overall Score
76
76
GLM 5.2 (free)
Rank#122#120
GLM 5.2 (free)
Quality Rank#122#120
GLM 5.2 (free)
Adoption Rank#122#120
GLM 5.2 (free)
Parameters------
Context Window1000K33K
Qwen3.8 Max (0902)
Pricing$2.00/$6.00/MFree--
Signal Scores
Capabilities
83
33
Qwen3.8 Max (0902)
Pricing
94
100
GLM 5.2 (free)
Context window size
95
72
Qwen3.8 Max (0902)
Recency
100
100
Qwen3.8 Max (0902)
Output Capacity
82
72
Qwen3.8 Max (0902)
Benchmarks--
81
GLM 5.2 (free)
Benchmark Head-to-Head(2 benchmarks)
Qwen3.8 Max: 0GLM 5.2: 0
Qwen3.8 Max
GLM 5.2
Normalized 0-100%
MMLU-Pro
-86%
Arena Elo
-1458
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.

Qwen3.8 Max (0902)Strong Performer

Scores 76/100 (rank #122), placing it in the top 58% of all 290 models tracked.

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

Scores 76/100 (rank #120), 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 Qwen3.8 Max (0902) when you need:

  • Processing long documents or large codebases (1000K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving

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
Qwen3.8 Max (0902)
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.106
Est. monthly (1M tokens/day)$120.00
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
Qwen3.8 Max (0902)Faster
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

Qwen3.8 Max (0902)

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

Qwen3.8 Max (0902)

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.8 Max (0902)

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

GLM 5.2 (free)

Image understanding & OCR

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

Qwen3.8 Max (0902)
Which Should You Choose?
Our recommendation:
GLM 5.2 (free)

Qwen3.8 Max (0902) and GLM 5.2 (free) are extremely close in overall performance (only 0.10000000000000853 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 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 5.2 (free)
Recommended

by Zhipu AI

  • Choose for Cost - 100% lower pricing; better value at scale
Capability Comparison
CapabilityQwen3.8 Max (0902)GLM 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)

Qwen3.8 Max (0902)

Alibaba

$10.80
estimated monthly cost

GLM 5.2 (free)

Zhipu AI

Best Value
$0.000000
estimated monthly cost

GLM 5.2 (free) saves you $10.80/month

That's 100% cheaper than Qwen3.8 Max (0902) 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
ParameterQwen3.8 Max (0902)GLM 5.2 (free)
Context Window1M33K
Max Output Tokens131,07229,491
Open SourceNoYes
CreatedSep 3, 2026Jun 16, 2026
Last updated: 7m ago

相关对比

Qwen3.8 Max (0902) vs GLM 5.2 (free) (2026) | LM Market Cap