Gemini 3.7 Flash vs Muse Wonder

Muse Wonder leads Gemini 3.7 Flash on coding, 71.9 to 58.0 on the Vibe Coding Index, and Gemini 3.7 Flash costs 5.3x less per output token ($3.75 vs $20.00 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Muse Wonder

Gemini 3.7 FlashGoogle

Coding: 58.0
Overall: 65.7
Output $/M: $3.75

Muse WonderMeta

Coding: 71.9
Overall: No data
Output $/M: $20.00

vs boards won of 50 shared

Gemini 3.7 Flash or Muse Wonder: which to pick

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 3 benchmarks against 6.

Pick Gemini 3.7 Flash for output tokens 5.3x cheaper ($3.75 vs $20.00 per million) and work measured by IOI (Vals AI) or Finance Agent (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved task Model BMuse WonderMeta71.9/1003 independent benchmarksNo cost per solved task

506410

Shared results: 50
Gemini 3.7 Flash only: 64
Muse Wonder only: 10
Like-for-like categories: 8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
Muse Wonder
Muse Wonder scores 71.9 against 58.0.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Gemini 3.7 Flash has a AA Intelligence Index result, 39.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1362 against 1303.
Same board, both measured
General
Vals Index
No call
Only Muse Wonder has a Vals Index result, 64.9%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.7 Flash
Gemini 3.7 Flash $0.0026, Muse Wonder $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only

At a glance

Coding index: Gemini 3.7 Flash 58.0 from 6 benchmarks, Muse Wonder 71.9 from 3 benchmarks.
Widest category: Coding, 13.4 points apart on average over 11 shared benchmarks.
Widest single gap: Terminal-Bench 4 (Vals AI): Gemini 3.7 Flash 12.1% against Muse Wonder 49.5%, 49.8 points apart on a 0 to 100 scale.
Output price: Gemini 3.7 Flash $3.75 against Muse Wonder $20.00 per million output tokens, 5.3x apart.
Context window: Both take 1.05M tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	Gemini 3.7 Flash	Muse Wonder
Coding	1	10
Intelligence	0	1
Agentic work	2	4
Reasoning	0	4
Math	1	2
Knowledge	1	3
Web design	0	6
General	3	12
All shared boards	8	42

CodingLike-for-likeSix of these boards feed the Vibe Coding Index110

Coding benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
LiveBench coding	80.5%	Not measured	Only Gemini 3.7 Flash measured
LMArena WebDev	1591	1652	Muse Wonder
AA Coding Index	71.5	Not measured	Only Gemini 3.7 Flash measured
LiveCodeBench (Vals AI)	88.7%	Not measured	Only Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)	80.8%	Not measured	Only Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)	12.1%	49.5%	Muse Wonder
Vibe Code Bench (Vals AI)	70.4%	83.1%	Muse Wonder
Code migration (Vals AI)	34.8%	62.5%	Muse Wonder
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.7 Flash measured
IOI (Vals AI)	67.8%	66.9%	Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)	77.5%	Not measured	Only Gemini 3.7 Flash measured
SWE-bench Multimodal (Vals AI)	Not measured	45.6%	Only Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)	Not measured	26.6%	Only Muse Wonder measured
SkillsBench (Vals AI)	65.9%	Not measured	Only Gemini 3.7 Flash measured
CyberBench (Vals AI)	43.8%	80.4%	Muse Wonder
SciCode	59.8%	60.3%	Muse Wonder
FrontierCode	43.6%	Not measured	Only Gemini 3.7 Flash measured
FrontierSWE	20.3%	Not measured	Only Gemini 3.7 Flash measured
ALE-Bench	904.3	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: coding	1499	1522	Muse Wonder
LMArena Text: software and IT	1498	1515	Muse Wonder
LMArena WebDev: React	1587	1641	Muse Wonder
LMArena WebDev: HTML	1593	1694	Muse Wonder
LMArena WebDev: from an image	1599	Not measured	Only Gemini 3.7 Flash measured
SciCode	13.8%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
AA Intelligence Index	39.6	Not measured	Only Gemini 3.7 Flash measured
Epoch Capabilities Index	158.0	161.8	Muse Wonder

Agentic workLike-for-likePublic boards, shown as published, kept out of the index24

Agentic work benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
Design Arena: agents building web apps	1223	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building full-stack apps	1208	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building mobile apps	1229	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building Android apps	1243	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building Godot games	1264	Not measured	Only Gemini 3.7 Flash measured
Design Arena: agents building games	1235	Not measured	Only Gemini 3.7 Flash measured
Design Arena: spreadsheets	1058	1243	Muse Wonder
LiveBench research	76.5%	Not measured	Only Gemini 3.7 Flash measured
LiveBench browser	56.0%	Not measured	Only Gemini 3.7 Flash measured
LiveBench long agentic	28.3%	Not measured	Only Gemini 3.7 Flash measured
SREBench (Vals AI)	4.6%	Not measured	Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)	59.0%	56.6%	Gemini 3.7 Flash
Tax Agent Bench (Vals AI)	22.8%	36.3%	Muse Wonder
Legal Research Bench (Vals AI)	34.6%	50.5%	Muse Wonder
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	23.8%	Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)	71.3%	67.1%	Gemini 3.7 Flash
BioMysteryBench (Vals AI)	Not measured	67.0%	Only Muse Wonder measured
Terminal-Bench-Science (Vals AI)	7.1%	22.9%	Muse Wonder
Vals Science Index	Not measured	39.1%	Only Muse Wonder measured
CUA-bench (Vals AI)	Not measured	7.2%	Only Muse Wonder measured
APEX-Agents	67.8%	Not measured	Only Gemini 3.7 Flash measured
Remote Labor Index	5.0%	Not measured	Only Gemini 3.7 Flash measured
Vending-Bench 2	Not measured	$9,432	Only Muse Wonder measured
Neither model has a result on the other 18 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index04

Reasoning benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
GPQA Diamond	93.9%	Not measured	Only Gemini 3.7 Flash measured
LiveBench reasoning	87.8%	Not measured	Only Gemini 3.7 Flash measured
MysteryMechanism (Vals AI)	Not measured	27.5%	Only Muse Wonder measured
MMMU Pro (Vals AI)	89.0%	Not measured	Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)	94.5%	Not measured	Only Gemini 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)	47.9%	50.1%	Muse Wonder
GPQA Diamond (Epoch AI run)	94.8%	Not measured	Only Gemini 3.7 Flash measured
ARC-AGI	95.5%	Not measured	Only Gemini 3.7 Flash measured
ARC-AGI-2	84.6%	Not measured	Only Gemini 3.7 Flash measured
Chess puzzles	66.0%	Not measured	Only Gemini 3.7 Flash measured
Mystery game puzzles	37.0%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: hard prompts	1495	1506	Muse Wonder
LMArena Text: expert	1512	1513	Muse Wonder
LMArena Text: hard prompts in English	1487	1506	Muse Wonder
LMArena Vision: diagrams	1329	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: homework	1320	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index12

Math benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
OTIS Mock AIME	97.2%	Not measured	Only Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 3	71.6%	Not measured	Only Gemini 3.7 Flash measured
FrontierMath, tier 4	36.6%	Not measured	Only Gemini 3.7 Flash measured
ProofBench	58.0%	84.0%	Muse Wonder
LMArena Text: math	1511	1486	Gemini 3.7 Flash
LMArena Text: mathematical work	1502	1514	Muse Wonder
Neither model has a result on the other 7 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13

Knowledge benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
MMLU Pro	90.1%	Not measured	Only Gemini 3.7 Flash measured
LegalBench (Vals AI)	87.3%	Not measured	Only Gemini 3.7 Flash measured
TaxEval (Vals AI)	74.7%	Not measured	Only Gemini 3.7 Flash measured
MortgageTax (Vals AI)	66.7%	Not measured	Only Gemini 3.7 Flash measured
MedCode (Vals AI)	53.4%	Not measured	Only Gemini 3.7 Flash measured
SimpleQA Verified	69.2%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: science	1511	1506	Gemini 3.7 Flash
LMArena Text: medicine and healthcare	1494	1512	Muse Wonder
LMArena Text: legal and government	1496	1505	Muse Wonder
LMArena Text: business and finance	1479	1483	Muse Wonder
FACTS Benchmark Suite	71.2%	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 7 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index06

Web design benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
Design Arena: websites	1303	1362	Muse Wonder
Design Arena: UI components	1296	1379	Muse Wonder
Design Arena: game dev	1317	1376	Muse Wonder
Design Arena: data viz	1315	1317	Muse Wonder
Design Arena: 3D	1307	1427	Muse Wonder
Design Arena: all code categories	1308	1371	Muse Wonder
Design Arena: SVG	1283	Not measured	Only Gemini 3.7 Flash measured
Design Arena: ASCII art	1276	Not measured	Only Gemini 3.7 Flash measured
LiveBench design	73.2%	Not measured	Only Gemini 3.7 Flash measured

GeneralLike-for-likePublic boards, shown as published, kept out of the index312

General benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
Vals Index	Not measured	64.9%	Only Muse Wonder measured
LiveBench data analysis	68.0%	Not measured	Only Gemini 3.7 Flash measured
Public Benefits Bench (Vals AI)	Not measured	70.2%	Only Muse Wonder measured
SAGE (Vals AI)	49.2%	Not measured	Only Gemini 3.7 Flash measured
MedScribe (Vals AI)	83.9%	Not measured	Only Gemini 3.7 Flash measured
Long context reasoning (AA-LCR)	83.0%	80.7%	Gemini 3.7 Flash
DTBench	96.8%	95.2%	Gemini 3.7 Flash
LMCA	50.4%	56.8%	Muse Wonder
Furniture assembly	26.7%	Not measured	Only Gemini 3.7 Flash measured
LMArena Text	1489	1502	Muse Wonder
LMArena Text: instruction following	1484	1491	Muse Wonder
LMArena Text: creative writing	1488	1491	Muse Wonder
LMArena Vision	1314	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: English	1483	1507	Muse Wonder
LMArena Text: non-English	1487	1492	Muse Wonder
LMArena Text: Chinese	1552	1537	Gemini 3.7 Flash
LMArena Text: German	1506	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Japanese	1511	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Korean	1481	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: French	1500	1523	Muse Wonder
LMArena Text: Spanish	1495	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: Russian	1515	1522	Muse Wonder
LMArena Text: Polish	1503	Not measured	Only Gemini 3.7 Flash measured
LMArena Text: multi-turn	1485	1510	Muse Wonder
LMArena Text: longer queries	1492	1493	Muse Wonder
LMArena Text: writing and language	1491	1496	Muse Wonder
LMArena Text: entertainment and media	1477	1482	Muse Wonder
LMArena Vision: English	1309	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: Chinese	1394	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: reading text	1322	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: humor	1299	Not measured	Only Gemini 3.7 Flash measured
LMArena Vision: creative writing	1312	Not measured	Only Gemini 3.7 Flash measured
Neither model has a result on the other 14 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Gemini 3.7 Flash and Muse Wonder
Benchmark	Gemini 3.7 Flash	Muse Wonder	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.7 Flash$0.0026Fits in one request

Muse Wonder$0.014Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request

Muse Wonder$0.260Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request

Muse Wonder$1.00Fits in one request

Gemini 3.7 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.7 Flash and Muse Wonder
Specification	Google Gemini 3.7 Flash	Meta Muse Wonder
Maker	Google	Meta
Weights	No public weights listed	No public weights listed
Released	August 13, 2026	October 12, 2026
Context window	1.05M	1.05M
Input $/Mtok	$0.75	$4.00
Output $/Mtok	$3.75	$20.00
Coding index	58.0	71.9
Independent measurements behind it	6	3
Cost per solved task	$1.78	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.7 Flash better than Muse Wonder for coding?

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 58.0 for Gemini 3.7 Flash, though on 3 benchmarks against 6. Pick Gemini 3.7 Flash for output tokens 5.3x cheaper ($3.75 vs $20.00 per million) and work measured by IOI (Vals AI) or Finance Agent (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or Muse Wonder?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or Muse Wonder?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs Muse Wonder comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 independent benchmarks and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-meta-muse-wonder">LLMBenchmark.ai, Gemini 3.7 Flash vs Muse Wonder</a></p>

Gemini 3.7 Flash or Muse Wonder: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Knowledge

Web design

General

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next