Model decision surface
Compare AI models
Start with Gemma 3 27B and Gemma 3 4B, 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
Gemma 3 27B vs Gemma 3 4B
Live dataset updated 11/7/2026, 2:00:08 PM UTC
Open 1200×630 evidence receipt| Field | Gemma 3 27B | Gemma 3 4B |
|---|---|---|
| ModelCap position | #152 | #255 |
| Index score | 42.6 | 26.0 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.08 | $0.05 |
| Output / 1M | $0.35 | $0.10 |
| Pricing status | fresh | fresh |
| Context | 131K | 131K |
| Providers | 4 | 2 |
| Weight access | Gated access | Gated access |
Decision facts
- Gemma 3 27B is #152; Gemma 3 4B is #255 on the same current language board.
- Index scores are 42.6 for Gemma 3 27B and 26.0 for Gemma 3 4B. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.35 for Gemma 3 27B and $0.10 for Gemma 3 4B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.33 for Gemma 3 27B versus $0.15 for Gemma 3 4B. Gemma 3 4B costs 55.2% 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 131,072 tokens for Gemma 3 27B and 131,072 for Gemma 3 4B.
- ModelCap currently lists 4 providers for Gemma 3 27B and 2 for Gemma 3 4B.
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 4 Argon vs Kimi K3#1 vs #11 on the ModelCap Index
- Claude Opus 5.5 vs Kimi K3#2 vs #11 on the ModelCap Index
- Muse Wonder vs Kimi K3#3 vs #11 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.