| Signal | o1-pro | Delta | GLM 5 Turbo |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 82 | +7 | |
Pricing | 100 | +96 | |
Context window size | 84 | 0 | |
Recency | 64 | -36 | |
Output Capacity | 83 | -2 | |
| Overall Result | 2 wins | of 6 | 3 wins |
30
days higher
0
days
0
days higher
OpenAI
Zhipu AI
GLM 5 Turbo saves you $44680.00/month
That's $536160.00/year compared to o1-pro at your current usage level of 100K calls/month.
| Metric | o1-pro | GLM 5 Turbo | Winner |
|---|---|---|---|
| Overall Score | 81 | 68 | o1-pro |
| Rank | #22 | #71 | o1-pro |
| Quality Rank | #22 | #71 | o1-pro |
| Adoption Rank | #22 | #71 | o1-pro |
| Parameters | -- | -- | -- |
| Context Window | 200K | 203K | GLM 5 Turbo |
| Pricing | $150.00/$600.00/M | $1.20/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | o1-pro |
| Benchmarks | 82 | 74 | o1-pro |
| Pricing | 100 | 4 | o1-pro |
| Context window size | 84 | 84 | GLM 5 Turbo |
| Recency | 64 | 100 | GLM 5 Turbo |
| Output Capacity | 83 | 85 | GLM 5 Turbo |
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%). Here's what the scores mean for these two models:
Scores 81/100 (rank #22), placing it in the top 93% of all 290 models tracked.
Scores 68/100 (rank #71), placing it in the top 76% of all 290 models tracked.
o1-pro has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
GLM 5 Turbo offers 99% better value per quality point. At 1M tokens/day, you'd spend $78.00/month with GLM 5 Turbo vs $11250.00/month with o1-pro - a $11172.00 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GLM 5 Turbo also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (203K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($4.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (81/100) 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 clearly outperforms GLM 5 Turbo with a significant 13.300000000000011-point lead. For most general use cases, o1-pro is the stronger choice. However, GLM 5 Turbo may still excel in niche scenarios.
Best for Quality
o1-pro
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 5 Turbo
99% lower pricing; better value at scale
Best for Reliability
o1-pro
Higher uptime and faster response speeds
Best for Prototyping
o1-pro
Stronger community support and better developer experience
Best for Production
o1-pro
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | o1-pro | GLM 5 Turbo |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Zhipu AI
GLM 5 Turbo saves you $983.04/month
That's 99% cheaper than o1-pro 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 | GLM 5 Turbo |
|---|---|---|
| Context Window | 200K | 203K |
| Max Output Tokens | 100,000 | 131,072 |
| Open Source | No | No |
| Created | Mar 19, 2025 | Mar 15, 2026 |
o1-pro scores 81/100 (rank #22) compared to GLM 5 Turbo's 68/100 (rank #71), giving it a 13-point advantage. o1-pro is the stronger overall choice, though GLM 5 Turbo may excel in specific areas like cost efficiency.
o1-pro is ranked #22 and GLM 5 Turbo is ranked #71 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GLM 5 Turbo is cheaper at $4.00/M output tokens vs o1-pro's $600.00/M output tokens - 150.0x more expensive. Input token pricing: o1-pro at $150.00/M vs GLM 5 Turbo at $1.20/M.
GLM 5 Turbo has a larger context window of 202,752 tokens compared to o1-pro's 200,000 tokens. A larger context window means the model can process longer documents and conversations.