o1-pro (batch) vs GLM 4.5
| Signal | o1-pro (batch) | Delta | GLM 4.5 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 77 | +2 | |
Pricing | 5 | -93 | |
Context window size | 84 | +3 | |
Recency | 40 | -23 | |
Output Capacity | 83 | +0 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
73.6
current score
Tied
right now
73.6
current score
o1-pro (batch)
OpenAI
GLM 4.5
Zhipu AI
GLM 4.5 saves you $22330.00/month
That's $267960.00/year compared to o1-pro (batch) at your current usage level of 100K calls/month.
| Metric | o1-pro (batch) | GLM 4.5 | Winner |
|---|---|---|---|
| Overall Score | 74 | 74 | -- |
| Rank | #139 | #137 | GLM 4.5 |
| Quality Rank | #139 | #137 | GLM 4.5 |
| Adoption Rank | #139 | #137 | GLM 4.5 |
| Parameters | -- | -- | -- |
| Context Window | 200K | 131K | o1-pro (batch) |
| Pricing | $75.00/$300.00/M | $0.60/$2.20/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | o1-pro (batch) |
| Benchmarks | 77 | 75 | o1-pro (batch) |
| Pricing | 5 | 98 | GLM 4.5 |
| Context window size | 84 | 81 | o1-pro (batch) |
| Recency | 40 | 64 | GLM 4.5 |
| Output Capacity | 83 | 83 | o1-pro (batch) |
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 74/100 (rank #139), placing it in the top 52% of all 290 models tracked.
Scores 74/100 (rank #137), placing it in the top 53% 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 o1-pro (batch) when you need:
- Processing long documents or large codebases (200K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose GLM 4.5 when you need:
- High-volume production workloads where API costs must be minimized
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
GLM 4.5 offers 99% better value per quality point. At 1M tokens/day, you'd spend $42.00/month with GLM 4.5 vs $5625.00/month with o1-pro (batch) - a $5583.00 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 4.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (74/100) 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
o1-pro (batch) and GLM 4.5 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
o1-pro (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 4.5
99% lower pricing; better value at scale
Best for Reliability
o1-pro (batch)
Higher uptime and faster response speeds
Best for Prototyping
o1-pro (batch)
Stronger community support and better developer experience
Best for Production
o1-pro (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- 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 | o1-pro (batch) | GLM 4.5 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
o1-pro (batch)
OpenAI
GLM 4.5
Zhipu AI
GLM 4.5 saves you $491.28/month
That's 99% cheaper than o1-pro (batch) 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 | o1-pro (batch) | GLM 4.5 |
|---|---|---|
| Context Window | 200K | 131K |
| Max Output Tokens | 100,000 | 98,304 |
| Open Source | No | Yes |
| Created | Mar 19, 2025 | Jul 25, 2025 |