| Signal | Claude Opus 4.1 | Delta | GLM 5V Turbo |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 73 | -1 | |
Pricing | 25 | -71 | |
Context window size | 84 | 0 | |
Recency | 88 | -12 | |
Output Capacity | 75 | -10 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
75.1
current score
Tied
right now
75.1
current score
Anthropic
Zhipu AI
GLM 5V Turbo saves you $4930.00/month
That's $59160.00/year compared to Claude Opus 4.1 at your current usage level of 100K calls/month.
| Metric | Claude Opus 4.1 | GLM 5V Turbo | Winner |
|---|---|---|---|
| Overall Score | 75 | 75 | -- |
| Rank | #48 | #47 | GLM 5V Turbo |
| Quality Rank | #48 | #47 | GLM 5V Turbo |
| Adoption Rank | #48 | #47 | GLM 5V Turbo |
| Parameters | -- | -- | -- |
| Context Window | 200K | 203K | GLM 5V Turbo |
| Pricing | $15.00/$75.00/M | $1.20/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | Claude Opus 4.1 |
| Benchmarks | 73 | 74 | GLM 5V Turbo |
| Pricing | 25 | 96 | GLM 5V Turbo |
| Context window size | 84 | 84 | GLM 5V Turbo |
| Recency | 88 | 100 | GLM 5V Turbo |
| Output Capacity | 75 | 85 | GLM 5V 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%). Learn more about our methodology.
Scores 75/100 (rank #48), placing it in the top 84% of all 290 models tracked.
Scores 75/100 (rank #47), placing it in the top 84% 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.
GLM 5V Turbo offers 94% better value per quality point. At 1M tokens/day, you'd spend $78.00/month with GLM 5V Turbo vs $1350.00/month with Claude Opus 4.1 - a $1272.00 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 5V 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 (75/100) 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
Claude Opus 4.1 and GLM 5V Turbo 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.
Best for Quality
Claude Opus 4.1
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 5V Turbo
94% lower pricing; better value at scale
Best for Reliability
Claude Opus 4.1
Higher uptime and faster response speeds
Best for Prototyping
Claude Opus 4.1
Stronger community support and better developer experience
Best for Production
Claude Opus 4.1
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude Opus 4.1 | GLM 5V Turbo |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Zhipu AI
GLM 5V Turbo saves you $110.04/month
That's 94% cheaper than Claude Opus 4.1 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 | Claude Opus 4.1 | GLM 5V Turbo |
|---|---|---|
| Context Window | 200K | 203K |
| Max Output Tokens | 32,000 | 131,072 |
| Open Source | No | No |
| Created | Aug 5, 2025 | Apr 1, 2026 |
Both Claude Opus 4.1 and GLM 5V Turbo score 75/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Claude Opus 4.1 is ranked #48 and GLM 5V Turbo is ranked #47 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 5V Turbo is cheaper at $4.00/M output tokens vs Claude Opus 4.1's $75.00/M output tokens - 18.8x more expensive. Input token pricing: Claude Opus 4.1 at $15.00/M vs GLM 5V Turbo at $1.20/M.
GLM 5V Turbo has a larger context window of 202,752 tokens compared to Claude Opus 4.1's 200,000 tokens. A larger context window means the model can process longer documents and conversations.