Same workload comparison

Start with what this workload buys you

The same token mix is applied to each plan’s prices and model allowance. Check shared pools and time windows on the plan page.

Comparison example: 12,000 tokens/request · 83% cache read

Example workload (12,000 tokens/request)

Input
1,000
Cache read
10,000
Output
1,000
Cache write
0

02Prices and allowances

Keep prices, requests and plan windows in one evidence ledger

Expand the ledger to verify four token prices, cost per request, model allowance and theoretical requests for this workload.

Open prices, capacity and plan windows
Metric OpenCode Go Muse Spark 1.2 Contributor Command Code GOAT Muse Spark 1.2 Contributor
Input / 1M$0.10$0.10
Cache read / 1M$0.002000$0.002000
Output / 1M$0.20$0.20
Cache write / 1M$0.000000$0.000000
Cost / request Recalculated $0.00032012,000 tokens/request$0.00032012,000 tokens/request
Model allowance Published $60Based on this model’s plan allowance$20Based on this model’s plan allowance
Requests / month Recalculated 187,499Estimated with the 12,000-token workload above62,499Estimated with the 12,000-token workload above
5-hour limit Published $12Plan window$14Plan window
Weekly limit Published $30Plan window$35Plan window
Monthly limit Published $60Plan window$70Plan window

03Official reference rows

The official reference behind each plan

Compare each provider’s reference token mix and published estimates below.

OpenCode Go View the provider’s reference workload Based on the published request estimate
Muse Spark 1.2 Contributor
Reference input / request620
Reference cache read / request71,400
Reference output / request300
Reference cache write / request0
Reference volume / request72,320
Cost per request$0.000265
Model monthly allowance$60
Published requests / month226,600
Published capacity / month16.4B
Capacity basisBased on the published request estimate
Calculation

Cost per request = add the four token classes after multiplying each by its price per 1,000,000 tokens.

floor($60 ÷ $0.000265) = 226,586

Official source: OpenCode Go · Snapshot captured: 2026-09-06

Command Code GOAT View the provider’s reference workload Based on the published request estimate
Muse Spark 1.2 Contributor
Reference input / request800
Reference cache read / request50,000
Reference output / request200
Reference cache write / request0
Reference volume / request51,000
Cost per request$0.000220
Model monthly allowance$20
Published requests / month90,900
Published capacity / month4.6B
Capacity basisBased on the published request estimate
Calculation

Cost per request = add the four token classes after multiplying each by its price per 1,000,000 tokens.

floor($20 ÷ $0.000220) = 90,909

Official source: Command Code GOAT · Snapshot captured: 2026-09-06

04Artificial Analysis external scores

External benchmarks with their source version

Benchmarks are from Artificial Analysis. See the source version and matched model below.

intelligence56.8Intelligence rank: 30
coding72.2Coding rank: 38
agentic49.3Agentic rank: 34

Artificial Analysis · index 4.1 · data date 2026-09-04 · Muse Spark 1.2 (xhigh)

Score inherited from Muse Spark 1.2

Scores describe the model’s performance on the named benchmarks. Results on your own tasks also depend on tools, prompts and execution environment.