GLM 5V Turbo is $0.05 cheaper per 1M input tokens (4% lower; 1.04x difference).
API cost decision in 10 seconds
GLM 5V Turbo vs GPT-5.1-Codex-Max
Pick GLM 5V Turbo for lower cost; pick GPT-5.1-Codex-Max only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick GLM 5V Turbo for lower cost; pick GPT-5.1-Codex-Max only if the larger context window matters more.
On the standard 1M input plus 500K output workload, GLM 5V Turbo is estimated at $3.2 vs $6.25 for GPT-5.1-Codex-Max, saving $3.05 (48.8% lower).
Cost-first pickGLM 5V Turbo
Context-first pickGPT-5.1-Codex-Max
Sample savings$3.0548.8%
10x traffic gap$30.5
GPT-5.1-Codex-Max has more context, but GLM 5V Turbo saves $3.05 on the standard workload. At 10x that traffic, the same price gap is about $30.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
GLM 5V Turbo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 5V Turbo | GPT-5.1-Codex-Max |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | GLM 5V Turbo | $8 | $11.25 |
| Balanced workload | 1M input + 1M output | GLM 5V Turbo | $5.2 | $11.25 |
| Output-heavy chatbot | 1M input + 5M output | GLM 5V Turbo | $21.2 | $51.25 |
GLM 5V Turbo is $6 cheaper per 1M output tokens (60% lower; 2.5x difference).
GPT-5.1-Codex-Max has 197.25K more context (1.97x larger).
GLM 5V Turbo is $3.05 cheaper on the standard workload (48.8% lower).
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
GLM 5V Turbo has the lower input price; GLM 5V Turbo has the lower output price; GPT-5.1-Codex-Max offers the larger context window. For the 1M input plus 500K output sample, GLM 5V Turbo is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $3.2 for GLM 5V Turbo and $6.25 for GPT-5.1-Codex-Max.
Choose GLM 5V Turbo when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.1-Codex-Max when you care most about larger context window.
- On the standard 1M input plus 500K output workload, GLM 5V Turbo is estimated at $3.2 vs $6.25 for GPT-5.1-Codex-Max, saving $3.05 (48.8% lower).
- GLM 5V Turbo is $3.05 cheaper on the standard workload (48.8% lower).
- GLM 5V Turbo is $0.05 cheaper per 1M input tokens (4% lower; 1.04x difference).
- GLM 5V Turbo is $6 cheaper per 1M output tokens (60% lower; 2.5x difference).
- GPT-5.1-Codex-Max has 197.25K more context (1.97x larger).
| Feature | GLM 5V Turbo (Z.ai) | GPT-5.1-Codex-Max (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.2 | $1.25 |
| Completion Price per 1M tokens | $4 | $10 |
| Sample Workload Cost 1M input + 500K output | $3.2 | $6.25 |
| Context Window | 202.75K | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | GLM 5V Turbo | On the standard 1M input plus 500K output workload, GLM 5V Turbo is estimated at $3.2 vs $6.25 for GPT-5.1-Codex-Max, saving $3.05 (48.8% lower). |
| High-volume input processing | GLM 5V Turbo | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | GLM 5V Turbo | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.1-Codex-Max | 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 5V Turbo when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 5V Turbo when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 5V Turbo when lower sample workload cost matters most: $0.26.
- GLM 4.5 Air can replace GLM 5V Turbo when lower sample workload cost matters most: $0.55.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsZ.ai catalog
Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.
Open Z.ai modelsOpenAI catalog
Check other OpenAI models with comparable pricing, context, or release timing.
Open OpenAI modelsGLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...