Model decision surface
Compare AI models
Start with o4 Mini and GLM 4.6V, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
o4 Mini vs GLM 4.6V
Live dataset updated 9/19/2026, 11:04:59 PM UTC
Open 1200×630 evidence receipt| Field | o4 Mini OpenAI | GLM 4.6V Z.ai |
|---|---|---|
| ModelCap position | #105 | #108 |
| Index score | 46.8 | 43.7 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $1.10 | $0.30 |
| Output / 1M | $4.40 | $0.90 |
| Pricing status | fresh | fresh |
| Context | 200K | 131K |
| Providers | 1 | 2 |
| Weight access | API only | Open weights |
Decision facts
- o4 Mini is #105; GLM 4.6V is #108 on the same current language board.
- Index scores are 46.8 for o4 Mini and 43.7 for GLM 4.6V. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $4.40 for o4 Mini and $0.90 for GLM 4.6V. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.40 for o4 Mini versus $1.05 for GLM 4.6V. GLM 4.6V costs 76.1% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 200,000 tokens for o4 Mini and 131,072 for GLM 4.6V.
- Weight access differs: o4 Mini is none; GLM 4.6V is open.
- ModelCap currently lists 1 providers for o4 Mini and 2 for GLM 4.6V.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
Popular comparisons
- Claude Fable 5.1 vs Claude Opus 5#1 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6 Astra#1 vs #3 on the ModelCap Index
- Claude Opus 5 vs GPT-6 Astra#2 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#1 vs #4 on the ModelCap Index
- Claude Opus 5 vs Muse Spark 1.3#2 vs #4 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6 Astra#4 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Qwen3.8 Max (0902)#1 vs #5 on the ModelCap Index
- Claude Opus 5 vs Qwen3.8 Max (0902)#2 vs #5 on the ModelCap Index
- GPT-6 Astra vs Qwen3.8 Max (0902)#3 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs Qwen3.8 Max (0902)#4 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs GPT-5.6 Sol#1 vs #6 on the ModelCap Index
- Claude Opus 5 vs GPT-5.6 Sol#2 vs #6 on the ModelCap Index
- GPT-5.6 Sol vs GPT-6 Astra#6 vs #3 on the ModelCap Index
- Muse Spark 1.3 vs GPT-5.6 Sol#4 vs #6 on the ModelCap Index
- GPT-5.6 Sol vs Qwen3.8 Max (0902)#6 vs #5 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#1 vs #7 on the ModelCap Index
- Claude Opus 5 vs Gemini 3.8 Flash#2 vs #7 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6 Astra#7 vs #3 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#7 vs #4 on the ModelCap Index
- Gemini 3.8 Flash vs Qwen3.8 Max (0902)#7 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-5.6 Sol#7 vs #6 on the ModelCap Index
- Claude Fable 5.1 vs Kimi K3#1 vs #8 on the ModelCap Index
- Claude Opus 5 vs Kimi K3#2 vs #8 on the ModelCap Index
- Kimi K3 vs GPT-6 Astra#8 vs #3 on the ModelCap Index
Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.