Claude Fable 5 (batch) vs GLM 5.2 (batch)
| Signal | Claude Fable 5 (batch) | Delta | GLM 5.2 (batch) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Benchmarks | 96 | +13 | |
Pricing | 75 | -23 | |
Context window size | 95 | +5 | |
Recency | 100 | -- | |
Output Capacity | 85 | +65 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
97.1
current score
Claude Fable 5 (batch)
right now
82.5
current score
Claude Fable 5 (batch)
Anthropic
GLM 5.2 (batch)
Zhipu AI
GLM 5.2 (batch) saves you $1570.00/month
That's $18840.00/year compared to Claude Fable 5 (batch) at your current usage level of 100K calls/month.
| Metric | Claude Fable 5 (batch) | GLM 5.2 (batch) | Winner |
|---|---|---|---|
| Overall Score | 97 | 83 | Claude Fable 5 (batch) |
| Rank | #2 | #73 | Claude Fable 5 (batch) |
| Quality Rank | #2 | #73 | Claude Fable 5 (batch) |
| Adoption Rank | #2 | #73 | Claude Fable 5 (batch) |
| Parameters | -- | -- | -- |
| Context Window | 1000K | 512K | Claude Fable 5 (batch) |
| Pricing | $5.00/$25.00/M | $0.70/$2.20/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Claude Fable 5 (batch) |
| Benchmarks | 96 | 84 | Claude Fable 5 (batch) |
| Pricing | 75 | 98 | GLM 5.2 (batch) |
| Context window size | 95 | 91 | Claude Fable 5 (batch) |
| Recency | 100 | 100 | Claude Fable 5 (batch) |
| Output Capacity | 85 | 20 | Claude Fable 5 (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 97/100 (rank #2), placing it in the top 100% of all 290 models tracked.
Scores 83/100 (rank #73), placing it in the top 75% of all 290 models tracked.
Claude Fable 5 (batch) has a 15-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Claude Fable 5 (batch) when you need:
- Processing long documents or large codebases (1000K 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 90% better value per quality point. At 1M tokens/day, you'd spend $43.50/month with GLM 5.2 (batch) vs $450.00/month with Claude Fable 5 (batch) - a $406.50 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 (1000K 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 (97/100) 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 Fable 5 (batch) clearly outperforms GLM 5.2 (batch) with a significant 14.599999999999994-point lead. For most general use cases, Claude Fable 5 (batch) is the stronger choice. However, GLM 5.2 (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
Claude Fable 5 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GLM 5.2 (batch)
90% lower pricing; better value at scale
Best for Reliability
Claude Fable 5 (batch)
Higher uptime and faster response speeds
Best for Prototyping
Claude Fable 5 (batch)
Stronger community support and better developer experience
Best for Production
Claude Fable 5 (batch)
Wider enterprise adoption and proven at scale
by Anthropic
- 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 | Claude Fable 5 (batch) | GLM 5.2 (batch) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Claude Fable 5 (batch)
Anthropic
GLM 5.2 (batch)
Zhipu AI
GLM 5.2 (batch) saves you $35.10/month
That's 90% cheaper than Claude Fable 5 (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 | Claude Fable 5 (batch) | GLM 5.2 (batch) |
|---|---|---|
| Context Window | 1M | 512K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | Jun 9, 2026 | Jun 16, 2026 |