Qwen3.5-122B-A10B is $0.17 cheaper per 1M input tokens (39.5% lower; 1.65x difference).
API cost decision in 10 seconds
GLM 4.6 vs Qwen3.5-122B-A10B
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.
Both models are estimated at $1.3 for the standard 1M input plus 500K output workload.
Cost-first pickTie
Context-first pickQwen3.5-122B-A10B
Sample savings$00%
10x traffic gap$0
Context-window winner: Qwen3.5-122B-A10B. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5-122B-A10B, balanced workload favors GLM 4.6, and output-heavy chatbot favors GLM 4.6.
| Workload shape | Token mix | Better pick | GLM 4.6 | Qwen3.5-122B-A10B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5-122B-A10B | $3.02 | $2.34 |
| Balanced workload | 1M input + 1M output | GLM 4.6 | $2.17 | $2.34 |
| Output-heavy chatbot | 1M input + 5M output | GLM 4.6 | $9.13 | $10.66 |
GLM 4.6 is $0.34 cheaper per 1M output tokens (16.3% lower; 1.2x difference).
Qwen3.5-122B-A10B has 59.39K more context (1.29x larger).
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $1.3.
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3.5-122B-A10B has the lower input price; GLM 4.6 has the lower output price; Qwen3.5-122B-A10B offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for GLM 4.6 and $1.3 for Qwen3.5-122B-A10B.
Choose GLM 4.6 when you care most about lower output-token price.
Choose Qwen3.5-122B-A10B when you care most about lower input-token price, and larger context window.
- Both models are estimated at $1.3 for the standard 1M input plus 500K output workload.
- Both models have the same estimated cost for the standard 1M input plus 500K output workload: $1.3.
- Qwen3.5-122B-A10B is $0.17 cheaper per 1M input tokens (39.5% lower; 1.65x difference).
- GLM 4.6 is $0.34 cheaper per 1M output tokens (16.3% lower; 1.2x difference).
- Qwen3.5-122B-A10B has 59.39K more context (1.29x larger).
| Feature | GLM 4.6 (Z.ai) | Qwen3.5-122B-A10B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.43 | $0.26 |
| Completion Price per 1M tokens | $1.74 | $2.08 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $1.3 |
| Context Window | 202.75K | 262.14K |
| Release Date | ||
| Popularity | #63 | #142 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Tie | Both models are estimated at $1.3 for the standard 1M input plus 500K output workload. |
| High-volume input processing | Qwen3.5-122B-A10B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GLM 4.6 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.5-122B-A10B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 4.5 Air (free) can replace GLM 4.6 when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 4.6 when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 4.6 when lower sample workload cost matters most: $0.26.
- GLM 4.5 Air can replace GLM 4.6 when lower sample workload cost matters most: $0.54.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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