Gemini 3.8 Flash vs Muse Wonder
Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 64.5 for Muse Wonder.
Pick Muse Wonder when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
- Shared results
- 60
- Gemini 3.8 Flash only
- 66
- Muse Wonder only
- 0
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Gemini 3.8 Flash
Gemini 3.8 Flash scores 70.5 against 64.5.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Gemini 3.8 Flash has a AA Intelligence Index result, 40.9.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemini 3.8 Flash has a AA Agentic Index result, 40.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.8 Flash has a GPQA Diamond result, 94.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.8 Flash has a MMLU Pro result, 90.2%.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1361 against 1301.
Same board, both measured
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% against 56.0%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.8 Flash
Gemini 3.8 Flash $0.0029, Muse Wonder $0.014 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.8 Flash has the number, $2.74.
Directional only
At a glance
- Coding index
- Gemini 3.8 Flash 70.5 from 2 benchmarks, Muse Wonder 64.5 from 1 benchmark.
- Widest category
- Math, 14.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- CyberBench (Vals AI): Gemini 3.8 Flash 43.8% against Muse Wonder 80.4%, 36.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $4.125 against Muse Wonder $20.00 per million output tokens, 4.8x 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.
| Category | Gemini 3.8 Flash | Bars | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 0 | 13 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 2 | 9 | ||
| Reasoning | 3 | 2 | ||
| Math | 2 | 1 | ||
| Knowledge | 1 | 3 | ||
| Web design | 0 | 6 | ||
| General | 5 | 12 | ||
| All shared boards | 13 | 47 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index013
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench coding | 82.2% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev | 1585 | 1652 | Muse Wonder |
| AA Coding Index | 76.3 | Not measured | Only Gemini 3.8 Flash measured |
| LiveCodeBench (Vals AI) | 89.5% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Verified (Vals AI) | 80.0% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | 49.5% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 78.7% | 83.1% | Muse Wonder |
| Code migration (Vals AI) | 36.5% | 62.5% | Muse Wonder |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Gemini 3.8 Flash measured |
| IOI (Vals AI) | 56.9% | 66.9% | Muse Wonder |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Multimodal (Vals AI) | 40.8% | 45.6% | Muse Wonder |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | 26.6% | Muse Wonder |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | 80.4% | Muse Wonder |
| SciCode | 56.6% | 60.3% | Muse Wonder |
| FrontierCode | 41.2% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierSWE | 19.6% | Not measured | Only Gemini 3.8 Flash measured |
| WeirdML | 84.8% | Not measured | Only Gemini 3.8 Flash measured |
| ALE-Bench | 1269.7 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: coding | 1508 | 1522 | Muse Wonder |
| LMArena Text: software and IT | 1507 | 1515 | Muse Wonder |
| LMArena WebDev: React | 1577 | 1641 | Muse Wonder |
| LMArena WebDev: HTML | 1616 | 1694 | Muse Wonder |
| LMArena WebDev: from an image | 1593 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | Not measured | Only Gemini 3.8 Flash measured |
| Epoch Capabilities Index | 157.4 | 161.8 | Muse Wonder |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index29
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building web apps | 1238 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building full-stack apps | 1244 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1236 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Android apps | 1078 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | 1273 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | 1178 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1052 | 1236 | Muse Wonder |
| LiveBench research | 79.1% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench browser | 64.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench long agentic | 30.1% | Not measured | Only Gemini 3.8 Flash measured |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | 56.6% | Gemini 3.8 Flash |
| Tax Agent Bench (Vals AI) | 32.1% | 36.3% | Muse Wonder |
| Legal Research Bench (Vals AI) | 38.9% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | 23.8% | Muse Wonder |
| Excel Modeling Benchmark (Vals AI) | 72.2% | 67.1% | Gemini 3.8 Flash |
| BioMysteryBench (Vals AI) | 62.2% | 67.0% | Muse Wonder |
| Terminal-Bench-Science (Vals AI) | 8.6% | 22.9% | Muse Wonder |
| Vals Science Index | 35.8% | 39.1% | Muse Wonder |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | 4.2% | 7.2% | Muse Wonder |
| APEX-Agents | 64.3% | Not measured | Only Gemini 3.8 Flash measured |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vending-Bench 2 | $5,094 | $9,432 | Muse Wonder |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench reasoning | 89.3% | Not measured | Only Gemini 3.8 Flash measured |
| MysteryMechanism (Vals AI) | 36.5% | 27.5% | Gemini 3.8 Flash |
| MMMU Pro (Vals AI) | 89.1% | Not measured | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 95.3% | Not measured | Only Gemini 3.8 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | 50.1% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | 95.4% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI | 98.5% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI-2 | 89.2% | Not measured | Only Gemini 3.8 Flash measured |
| Chess puzzles | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| Mystery game puzzles | 47.0% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: hard prompts | 1509 | 1506 | Gemini 3.8 Flash |
| LMArena Text: expert | 1526 | 1513 | Gemini 3.8 Flash |
| LMArena Text: hard prompts in English | 1504 | 1506 | Muse Wonder |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tiers 1 to 3 | 68.4% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tier 4 | 22.0% | Not measured | Only Gemini 3.8 Flash measured |
| ProofBench | 48.0% | 84.0% | Muse Wonder |
| LMArena Text: math | 1532 | 1486 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1519 | 1514 | Gemini 3.8 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | Not measured | Only Gemini 3.8 Flash measured |
| LegalBench (Vals AI) | 87.0% | Not measured | Only Gemini 3.8 Flash measured |
| TaxEval (Vals AI) | 74.5% | Not measured | Only Gemini 3.8 Flash measured |
| MortgageTax (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| MedCode (Vals AI) | 48.1% | Not measured | Only Gemini 3.8 Flash measured |
| SimpleQA Verified | 69.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: science | 1523 | 1506 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1508 | 1512 | Muse Wonder |
| LMArena Text: legal and government | 1497 | 1505 | Muse Wonder |
| LMArena Text: business and finance | 1479 | 1483 | Muse Wonder |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | 1301 | 1361 | Muse Wonder |
| Design Arena: UI components | 1318 | 1371 | Muse Wonder |
| Design Arena: game dev | 1305 | 1380 | Muse Wonder |
| Design Arena: data viz | 1269 | 1330 | Muse Wonder |
| Design Arena: 3D | 1295 | 1425 | Muse Wonder |
| Design Arena: all code categories | 1304 | 1370 | Muse Wonder |
| Design Arena: SVG | 1295 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: ASCII art | 1264 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench design | 72.7% | Not measured | Only Gemini 3.8 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index512
| Benchmark | Gemini 3.8 Flash | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | 56.0% | 64.9% | Muse Wonder |
| LiveBench data analysis | 54.0% | Not measured | Only Gemini 3.8 Flash measured |
| Public Benefits Bench (Vals AI) | 65.3% | 70.2% | Muse Wonder |
| SAGE (Vals AI) | 35.1% | Not measured | Only Gemini 3.8 Flash measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Gemini 3.8 Flash measured |
| Long context reasoning (AA-LCR) | 84.0% | 80.7% | Gemini 3.8 Flash |
| DTBench | 95.7% | 95.2% | Gemini 3.8 Flash |
| LMCA | 52.9% | 56.8% | Muse Wonder |
| Surface Evolver Bench | 76.9% | Not measured | Only Gemini 3.8 Flash measured |
| Furniture assembly | 31.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text | 1499 | 1502 | Muse Wonder |
| LMArena Text: instruction following | 1492 | 1491 | Gemini 3.8 Flash |
| LMArena Text: creative writing | 1488 | 1491 | Muse Wonder |
| LMArena Vision | 1315 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: English | 1498 | 1507 | Muse Wonder |
| LMArena Text: non-English | 1491 | 1492 | Muse Wonder |
| LMArena Text: Chinese | 1553 | 1537 | Gemini 3.8 Flash |
| LMArena Text: German | 1501 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Japanese | 1507 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Korean | 1464 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: French | 1496 | 1523 | Muse Wonder |
| LMArena Text: Spanish | 1487 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Russian | 1514 | 1522 | Muse Wonder |
| LMArena Text: Polish | 1497 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: multi-turn | 1503 | 1510 | Muse Wonder |
| LMArena Text: longer queries | 1507 | 1493 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1494 | 1496 | Muse Wonder |
| LMArena Text: entertainment and media | 1480 | 1482 | Muse Wonder |
| LMArena Vision: English | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: Chinese | 1416 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.8 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 3.8 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 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.
| Specification | Google Gemini 3.8 Flash | Meta Muse Wonder |
|---|---|---|
| Maker | Meta | |
| Weights | No public weights listed | No public weights listed |
| Released | September 2, 2026 | October 12, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.825 | $4.00 |
| Output $/Mtok | $4.125 | $20.00 |
| Coding index | 70.5 | 64.5 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $2.74 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than Muse Wonder for coding?
Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 64.5 for Muse Wonder. Pick Muse Wonder when what matters is LMArena WebDev or Terminal-Bench 4 (Vals AI), where it leads.
Which is cheaper, Gemini 3.8 Flash or Muse Wonder?
Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for Gemini 3.8 Flash only.
Which has the bigger context window, Gemini 3.8 Flash or Muse Wonder?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.8 Flash vs Muse Wonder comparison based on?
60 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 2 independent benchmarks and Muse Wonder's on 1. Where only one model has a result, the page says so instead of naming a winner.