Gemini 2.5 Pro Preview 05-06 vs GLM 5.2 (batch)
| Signal | Gemini 2.5 Pro Preview 05-06 | Delta | GLM 5.2 (batch) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 80 | -4 | |
Pricing | 90 | -8 | |
Context window size | 96 | +5 | |
Recency | 49 | -51 | |
Output Capacity | 80 | +60 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
83.5
current score
Gemini 2.5 Pro Preview 05-06
right now
82.5
current score
Gemini 2.5 Pro Preview 05-06
GLM 5.2 (batch)
Zhipu AI
GLM 5.2 (batch) saves you $445.00/month
That's $5340.00/year compared to Gemini 2.5 Pro Preview 05-06 at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 05-06 | GLM 5.2 (batch) | Winner |
|---|---|---|---|
| Overall Score | 84 | 83 | Gemini 2.5 Pro Preview 05-06 |
| Rank | #71 | #73 | Gemini 2.5 Pro Preview 05-06 |
| Quality Rank | #71 | #73 | Gemini 2.5 Pro Preview 05-06 |
| Adoption Rank | #71 | #73 | Gemini 2.5 Pro Preview 05-06 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 512K | Gemini 2.5 Pro Preview 05-06 |
| Pricing | $1.25/$10.00/M | $0.70/$2.20/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Gemini 2.5 Pro Preview 05-06 |
| Benchmarks | 80 | 84 | GLM 5.2 (batch) |
| Pricing | 90 | 98 | GLM 5.2 (batch) |
| Context window size | 96 | 91 | Gemini 2.5 Pro Preview 05-06 |
| Recency | 49 | 100 | GLM 5.2 (batch) |
| Output Capacity | 80 | 20 | Gemini 2.5 Pro Preview 05-06 |
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 84/100 (rank #71), placing it in the top 76% of all 290 models tracked.
Scores 83/100 (rank #73), placing it in the top 75% 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.
Choose Gemini 2.5 Pro Preview 05-06 when you need:
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose GLM 5.2 (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
GLM 5.2 (batch) offers 74% better value per quality point. At 1M tokens/day, you'd spend $43.50/month with GLM 5.2 (batch) vs $168.75/month with Gemini 2.5 Pro Preview 05-06 - a $125.25 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
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 5.2 (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K 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 (84/100) 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
Gemini 2.5 Pro Preview 05-06 and GLM 5.2 (batch) are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Gemini 2.5 Pro Preview 05-06
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 5.2 (batch)
74% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 05-06
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 05-06
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 05-06
Wider enterprise adoption and proven at scale
by Google
- 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 | Gemini 2.5 Pro Preview 05-06 | GLM 5.2 (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 2.5 Pro Preview 05-06
GLM 5.2 (batch)
Zhipu AI
GLM 5.2 (batch) saves you $10.35/month
That's 73% cheaper than Gemini 2.5 Pro Preview 05-06 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 | Gemini 2.5 Pro Preview 05-06 | GLM 5.2 (batch) |
|---|---|---|
| Context Window | 1.0M | 512K |
| Max Output Tokens | 65,535 | -- |
| Open Source | No | Yes |
| Created | May 7, 2025 | Jun 16, 2026 |