| Signal | GPT-5 Mini | Delta | GLM 5 Turbo |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 65 | -9 | |
Pricing | 2 | -2 | |
Context window size | 89 | +5 | |
Recency | 90 | -10 | |
Output Capacity | 85 | 0 | |
| Overall Result | 2 wins | of 6 | 4 wins |
13
days higher
1
days
16
days higher
OpenAI
Zhipu AI
GPT-5 Mini saves you $195.00/month
That's $2340.00/year compared to GLM 5 Turbo at your current usage level of 100K calls/month.
| Metric | GPT-5 Mini | GLM 5 Turbo | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | GPT-5 Mini |
| Rank | #69 | #71 | GPT-5 Mini |
| Quality Rank | #69 | #71 | GPT-5 Mini |
| Adoption Rank | #69 | #71 | GPT-5 Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 203K | GPT-5 Mini |
| Pricing | $0.25/$2.00/M | $1.20/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | GPT-5 Mini |
| Benchmarks | 65 | 74 | GLM 5 Turbo |
| Pricing | 2 | 4 | GLM 5 Turbo |
| Context window size | 89 | 84 | GPT-5 Mini |
| Recency | 90 | 100 | GLM 5 Turbo |
| Output Capacity | 85 | 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 68/100 (rank #69), placing it in the top 77% of all 290 models tracked.
Scores 68/100 (rank #71), placing it in the top 76% of all 290 models tracked.
With only a 1-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.
GPT-5 Mini offers 57% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with GPT-5 Mini vs $78.00/month with GLM 5 Turbo - a $44.25 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. GPT-5 Mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) 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
GPT-5 Mini and GLM 5 Turbo are extremely close in overall performance (only 0.6000000000000085 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5 Mini
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5 Mini
57% lower pricing; better value at scale
Best for Reliability
GPT-5 Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5 Mini
Stronger community support and better developer experience
Best for Production
GPT-5 Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5 Mini | GLM 5 Turbo |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Zhipu AI
GPT-5 Mini saves you $4.11/month
That's 59% cheaper than GLM 5 Turbo 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 | GPT-5 Mini | GLM 5 Turbo |
|---|---|---|
| Context Window | 400K | 203K |
| Max Output Tokens | 128,000 | 131,072 |
| Open Source | No | No |
| Created | Aug 7, 2025 | Mar 15, 2026 |
GPT-5 Mini scores 68/100 (rank #69) compared to GLM 5 Turbo's 68/100 (rank #71), giving it a 1-point advantage. GPT-5 Mini is the stronger overall choice, though GLM 5 Turbo may excel in specific areas like certain benchmarks.
GPT-5 Mini is ranked #69 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.
GPT-5 Mini is cheaper at $2.00/M output tokens vs GLM 5 Turbo's $4.00/M output tokens - 2.0x more expensive. Input token pricing: GPT-5 Mini at $0.25/M vs GLM 5 Turbo at $1.20/M.
GPT-5 Mini has a larger context window of 400,000 tokens compared to GLM 5 Turbo's 202,752 tokens. A larger context window means the model can process longer documents and conversations.