Model decision surface
Compare AI models
Start with Muse Spark Open and GLM 5.3 Flash, 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
Muse Spark Open vs GLM 5.3 Flash
Live dataset updated 10/15/2026, 6:39:42 PM UTC
Open 1200×630 evidence receipt| Field | Muse Spark Open Meta | GLM 5.3 Flash Z.ai |
|---|---|---|
| ModelCap position | #15 | #23 |
| Index score | 79.6 | 77.1 |
| Evidence | Estimatedpublisher-corpus-prior over 213 held-out anchors (22%); launch card against 5 resolved peers on 11 rows (78%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 1 up toward the measured corpus | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $1.25 | $0.15 |
| Output / 1M | $4.25 | $0.50 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 4 | 30 |
| Weight access | Gated access | Open weights |
Decision facts
- Muse Spark Open is #15; GLM 5.3 Flash is #23 on the same current language board.
- Index scores are 79.6 for Muse Spark Open and 77.1 for GLM 5.3 Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Muse Spark Open is Estimated; GLM 5.3 Flash is Measured.
- Listed output price per 1M tokens is $4.25 for Muse Spark Open and $0.50 for GLM 5.3 Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.63 for Muse Spark Open versus $0.55 for GLM 5.3 Flash. GLM 5.3 Flash costs 88.1% 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 1,048,576 tokens for Muse Spark Open and 1,048,576 for GLM 5.3 Flash.
- Weight access differs: Muse Spark Open is gated; GLM 5.3 Flash is open.
- ModelCap currently lists 4 providers for Muse Spark Open and 30 for GLM 5.3 Flash.
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 Opus 5.5 vs Gemini 4 Argon#2 vs #1 on the ModelCap Index
- Gemini 4 Argon vs Muse Wonder#1 vs #3 on the ModelCap Index
- Claude Opus 5.5 vs Muse Wonder#2 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 4 Argon#4 vs #1 on the ModelCap Index
- Claude Fable 5.1 vs Claude Opus 5.5#4 vs #2 on the ModelCap Index
- Claude Fable 5.1 vs Muse Wonder#4 vs #3 on the ModelCap Index
- Gemini 4 Argon vs Muse Spark 1.3#1 vs #5 on the ModelCap Index
- Claude Opus 5.5 vs Muse Spark 1.3#2 vs #5 on the ModelCap Index
- Muse Spark 1.3 vs Muse Wonder#5 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Muse Spark 1.3#4 vs #5 on the ModelCap Index
- Gemini 3.8 Flash vs Gemini 4 Argon#6 vs #1 on the ModelCap Index
- Claude Opus 5.5 vs Gemini 3.8 Flash#2 vs #6 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Wonder#6 vs #3 on the ModelCap Index
- Claude Fable 5.1 vs Gemini 3.8 Flash#4 vs #6 on the ModelCap Index
- Gemini 3.8 Flash vs Muse Spark 1.3#6 vs #5 on the ModelCap Index
- Gemini 4 Argon vs GPT-6.1 Sol#1 vs #8 on the ModelCap Index
- Claude Opus 5.5 vs GPT-6.1 Sol#2 vs #8 on the ModelCap Index
- Muse Wonder vs GPT-6.1 Sol#3 vs #8 on the ModelCap Index
- Claude Fable 5.1 vs GPT-6.1 Sol#4 vs #8 on the ModelCap Index
- Muse Spark 1.3 vs GPT-6.1 Sol#5 vs #8 on the ModelCap Index
- Gemini 3.8 Flash vs GPT-6.1 Sol#6 vs #8 on the ModelCap Index
- Gemini 3.1 Pro Preview vs Gemini 4 Argon#9 vs #1 on the ModelCap Index
- Claude Opus 5.5 vs Gemini 3.1 Pro Preview#2 vs #9 on the ModelCap Index
- Gemini 3.1 Pro Preview vs Muse Wonder#9 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.