Model decision surface
Compare AI models
Start with Gemini 4 Argon and Gemma 4 26B A4B, 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
Gemini 4 Argon vs Gemma 4 26B A4B
Live dataset updated 10/14/2026, 6:29:17 AM UTC
Open 1200×630 evidence receipt| Field | Gemini 4 Argon | Gemma 4 26B A4B |
|---|---|---|
| ModelCap position | #1 | #50 |
| Index score | 88.6 | 66.1 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $2.00 | $0.09 |
| Output / 1M | $10.00 | $0.30 |
| Pricing status | fresh | fresh |
| Context | 1M | 262K |
| Providers | 2 | 13 |
| Weight access | No linked weights | Open weights |
Decision facts
- Gemini 4 Argon is #1; Gemma 4 26B A4B is #50 on the same current language board.
- Index scores are 88.6 for Gemini 4 Argon and 66.1 for Gemma 4 26B A4B. 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 $10.00 for Gemini 4 Argon and $0.30 for Gemma 4 26B A4B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for Gemini 4 Argon versus $0.33 for Gemma 4 26B A4B. Gemma 4 26B A4B costs 96.3% 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 Gemini 4 Argon and 262,144 for Gemma 4 26B A4B.
- Weight access differs: Gemini 4 Argon is none; Gemma 4 26B A4B is open.
- ModelCap currently lists 2 providers for Gemini 4 Argon and 13 for Gemma 4 26B A4B.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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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.