| Signal | Qwen3.5-122B-A10B | Delta | GLM 5 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 78 | -3 | |
Pricing | 98 | -- | |
Context window size | 86 | +2 | |
Recency | 100 | -- | |
Output Capacity | 80 | +60 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
77.8
current score
GLM 5
right now
78
current score
Alibaba
Zhipu AI
Qwen3.5-122B-A10B saves you $39.00/month
That's $468.00/year compared to GLM 5 at your current usage level of 100K calls/month.
| Metric | Qwen3.5-122B-A10B | GLM 5 | Winner |
|---|---|---|---|
| Overall Score | 78 | 78 | GLM 5 |
| Rank | #51 | #50 | GLM 5 |
| Quality Rank | #51 | #50 | GLM 5 |
| Adoption Rank | #51 | #50 | GLM 5 |
| Parameters | 122B | -- | -- |
| Context Window | 262K | 203K | Qwen3.5-122B-A10B |
| Pricing | $0.26/$2.08/M | $0.65/$2.08/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 | 20 | Qwen3.5-122B-A10B |
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.
Scores 78/100 (rank #51), placing it in the top 83% of all 290 models tracked.
Scores 78/100 (rank #50), placing it in the top 83% of all 290 models tracked.
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.
Qwen3.5-122B-A10B offers 14% better value per quality point. At 1M tokens/day, you'd spend $35.10/month with Qwen3.5-122B-A10B vs $40.95/month with GLM 5 - a $5.85 monthly difference.
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.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
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
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (78/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Qwen3.5-122B-A10B and GLM 5 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen3.5-122B-A10B
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-122B-A10B
14% lower pricing; better value at scale
Best for Reliability
Qwen3.5-122B-A10B
Higher uptime and faster response speeds
Best for Prototyping
Qwen3.5-122B-A10B
Stronger community support and better developer experience
Best for Production
Qwen3.5-122B-A10B
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3.5-122B-A10B | GLM 5 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Zhipu AI
Qwen3.5-122B-A10B saves you $0.7020/month
That's 19% 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.
| Parameter | Qwen3.5-122B-A10B | GLM 5 |
|---|---|---|
| Context Window | 262K | 203K |
| Max Output Tokens | 65,536 | -- |
| Open Source | Yes | Yes |
| Created | Feb 25, 2026 | Feb 11, 2026 |