Muse Wonder vs Gemma 4 31B: Release Comparison

Name: Intelligence
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

Comparison of the Muse Wonder and Gemma 4 31B releases: 2 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 4 models.

For intelligence, Muse Wonder scores highest: Muse Wonder (Max) at 44, against Gemma 4 31B (Reasoning) at 4 for Gemma 4 31B.

Model Playground

Releases compared


	Muse Wonder (max)	Muse Wonder (high)	Gemma 4 31B	Gemma 4 31B (non-reasoning)
Intelligence Index	44	41	4	--
Finance & Accounting	51	50	8	--
Strategy & Ops	54	54	7	--
Legal	47	46	7	--
Healthcare & Medical	49	--	--	--
Engineering	50	47	12	--
Economics	50	48	10	--
AA-Briefcase v1.1	1659	1610	369	--
AutomationBench-AA	68.1%	67.2%	4.9%	--
Terminal-Bench 4.0	52.0%	38.4%	0.0%	--
FrontierCode 2.0	27.9%	26.6%	0.0%	--
AA-Omniscience v1.1	25	25	−49	--
GDP.pdf	30.6%	29.2%	6.0%	--
HLE-Diamond	39.0%	34.5%	7.2%	--
CritPt v2 (Hard Subset)	50.5%	51.0%	4.0%	--
Terminal-Bench-Science 0.1	25.7%	21.9%	0.0%	--

Cost per TaskUSD	$6.95	--	--	--
Input PriceUSD/1M Tokens	$4.00	$4.00	$0.00	$0.165
Output PriceUSD/1M Tokens	$20.00	$20.00	$0.00	$0.40
Cache Hit PriceUSD/1M Tokens	$0.20	$0.20	--	$0.14
Cache Write PriceUSD/1M Tokens	--	--	--	--

Time per TaskMinutes	12.1	8.8	--	--
Output Speedtok/s	132	128	30	44
Time to First Answer Tokens	20.56	10.24	64.71	4.12
Time to First Tokens	20.56	10.24	0.92	4.12
End-to-End TimeMean of Single-Request Workloads (s)	63.55	35.00	--	78.60

Context Window	1M	1M	256k	256k
Creator	Meta	Meta	Google	Google
License	Proprietary	Proprietary	Open	Open
Input Modality	Supports: text, image, speech, and video	Supports: text, image, speech, and video	Supports: text, image, and video	Supports: text, image, and video
Output Modality	Supports: text	Supports: text	Supports: text	Supports: text
Providers			+8	+7

Updated

Intelligence

Artificial Analysis Intelligence Index · Higher is better

Time per Task

Inference time (minutes) per Intelligence Index task · Lower is better

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0.1 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1

No publicly available API

Artificial Analysis Intelligence Index v5.0.1 includes: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task

Most attractive quadrant

Pareto line

AA-Briefcase v1.1

AutomationBench-AA

Cost per Task (USD, Log Scale)

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

No publicly available API

Speed & Latency

Time per Intelligence Index Task

Output tokens divided by end-to-end output speed (minutes per Intelligence Index task) · Speed at the model's own endpoint or the median across providers · Lower is better

No publicly available API

The weighted average time (minutes) per Artificial Analysis Intelligence Index task: output tokens per task divided by output speed, weighted by each benchmark's weight in the Intelligence Index.

Speed and latency metrics average each endpoint's runs over the past 5 days, and the error rate pools them. We run the benchmark every 6 hours, and endpoints of deprecated models every 18 hours.

Capability Scores

Capability Indexes

Measures the performance of models on specific capabilities and industries

Finance & Accounting Index

Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better

Engineering Index

Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf · Higher is better

Benchmarks

AA-PersonalityBenchNew

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark

Muse Wonder vs Gemma 4 31B: Release Comparison

Intelligence

Time per Task

Cost per Task

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Intelligence Index vs. Cost per Task

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

Cost

Cost per Intelligence Index Task

Cost per Intelligence Index Task

Speed & Latency

Time per Intelligence Index Task

Time per Intelligence Index Task

Time Period

Capability Scores

Capability Indexes

Benchmarks

AA-PersonalityBenchNew

Personality Indexes