Qwen3.5-122B-A10B vs GLM 4.6
| Signal | Qwen3.5-122B-A10B | Delta | GLM 4.6 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 69 | -1 | |
Pricing | 98 | 0 | |
Context window size | 77 | +2 | |
Recency | 100 | +20 | |
Output Capacity | 90 | +20 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
70.1
current score
Tied
right now
70.1
current score
Qwen3.5-122B-A10B
Alibaba
GLM 4.6
Zhipu AI
Qwen3.5-122B-A10B saves you $0.50/month
That's $6.00/year compared to GLM 4.6 at your current usage level of 100K calls/month.
| Metric | Qwen3.5-122B-A10B | GLM 4.6 | Winner |
|---|---|---|---|
| Overall Score | 70 | 70 | -- |
| Rank | #94 | #95 | Qwen3.5-122B-A10B |
| Quality Rank | #94 | #95 | Qwen3.5-122B-A10B |
| Adoption Rank | #94 | #95 | Qwen3.5-122B-A10B |
| Parameters | 122B | -- | -- |
| Context Window | 262K | 200K | Qwen3.5-122B-A10B |
| Pricing | $0.26/$2.08/M | $0.43/$1.75/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Qwen3.5-122B-A10B |
| Benchmarks | 69 | 70 | GLM 4.6 |
| Pricing | 98 | 98 | GLM 4.6 |
| Context window size | 77 | 76 | Qwen3.5-122B-A10B |
| Recency | 100 | 81 | Qwen3.5-122B-A10B |
| Output Capacity | 90 | 70 | 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 70/100 (rank #94), placing it in the top 68% of all 290 models tracked.
Scores 70/100 (rank #95), placing it in the top 68% 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.
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 4.6 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
GLM 4.6 offers 7% better value per quality point. At 1M tokens/day, you'd spend $32.70/month with GLM 4.6 vs $35.10/month with Qwen3.5-122B-A10B - a $2.40 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. GLM 4.6 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 ($1.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (70/100) 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 4.6 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Qwen3.5-122B-A10B
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 4.6
7% 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
- 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
| Capability | Qwen3.5-122B-A10B | GLM 4.6 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Qwen3.5-122B-A10B
Alibaba
GLM 4.6
Zhipu AI
GLM 4.6 saves you $0.0900/month
That's 3% cheaper than Qwen3.5-122B-A10B 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 4.6 |
|---|---|---|
| Context Window | 262K | 200K |
| Max Output Tokens | 262,144 | 16,384 |
| Open Source | Yes | Yes |
| Created | Feb 25, 2026 | Sep 30, 2025 |