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Gemini 2.5 Pro Preview 06-05 vs Muse Wonder

Updated October 21, 2026. 1 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 Pro Preview 06-05Google
Coding
83.1
Overall
No data
Output $/M
$10.00
0
Muse WonderMeta
Coding
64.5
Overall
No data
Output $/M
$20.00
1
vs boards won of 1 shared

Decision reading

Gemini 2.5 Pro Preview 06-05 scores 83.1 and Muse Wonder 64.5 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.

Pick Gemini 2.5 Pro Preview 06-05 when output tokens cost 2.0x less; pick Muse Wonder when the benchmark that matters is Humanity's Last Exam (Artificial Analysis run), where it leads.

Shared results
1
Gemini 2.5 Pro Preview 06-05 only
13
Muse Wonder only
59
Like-for-like categories
1 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.

At a glance

Coding index
Gemini 2.5 Pro Preview 06-05 83.1 from 1 benchmark, Muse Wonder 64.5 from 1 benchmark.
Widest category
Reasoning, 30.2 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 19.9% against Muse Wonder 50.1%, 30.2 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Muse Wonder $20.00 per million output tokens, 2.0x 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
CategoryGemini 2.5 Pro Preview 06-05BarsMuse WonderTies
Reasoning01
All shared boards01
CodingDirectional onlyFour of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena WebDevNot measured1652Only Muse Wonder measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)Not measured83.1%Only Muse Wonder measured
Code migration (Vals AI)Not measured62.5%Only Muse Wonder measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder measured
SWE-bench Multimodal (Vals AI)Not measured45.6%Only Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)Not measured26.6%Only Muse Wonder measured
CyberBench (Vals AI)Not measured80.4%Only Muse Wonder measured
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCodeNot measured60.3%Only Muse Wonder measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: codingNot measured1522Only Muse Wonder measured
LMArena Text: software and ITNot measured1515Only Muse Wonder measured
LMArena WebDev: ReactNot measured1641Only Muse Wonder measured
LMArena WebDev: HTMLNot measured1694Only Muse Wonder measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
Epoch Capabilities IndexNot measured161.8Only Muse Wonder measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
Design Arena: spreadsheetsNot measured1236Only Muse Wonder measured
Finance Agent (Vals AI)Not measured56.6%Only Muse Wonder measured
Tax Agent Bench (Vals AI)Not measured36.3%Only Muse Wonder measured
Legal Research Bench (Vals AI)Not measured50.5%Only Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)Not measured67.1%Only Muse Wonder measured
BioMysteryBench (Vals AI)Not measured67.0%Only Muse Wonder measured
Terminal-Bench-Science (Vals AI)Not measured22.9%Only Muse Wonder measured
Vals Science IndexNot measured39.1%Only Muse Wonder measured
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
GPQA Diamond (Artificial Analysis run)83.6%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Humanity's Last Exam (Artificial Analysis run)19.9%50.1%Muse Wonder
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1506Only Muse Wonder measured
LMArena Text: expertNot measured1513Only Muse Wonder measured
LMArena Text: hard prompts in EnglishNot measured1506Only Muse Wonder measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
ProofBenchNot measured84.0%Only Muse Wonder measured
LMArena Text: mathNot measured1486Only Muse Wonder measured
LMArena Text: mathematical workNot measured1514Only Muse Wonder measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: scienceNot measured1506Only Muse Wonder measured
LMArena Text: medicine and healthcareNot measured1512Only Muse Wonder measured
LMArena Text: legal and governmentNot measured1505Only Muse Wonder measured
LMArena Text: business and financeNot measured1483Only Muse Wonder measured
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
Design Arena: websitesNot measured1361Only Muse Wonder measured
Design Arena: UI componentsNot measured1371Only Muse Wonder measured
Design Arena: game devNot measured1380Only Muse Wonder measured
Design Arena: data vizNot measured1330Only Muse Wonder measured
Design Arena: 3DNot measured1425Only Muse Wonder measured
Design Arena: all code categoriesNot measured1370Only Muse Wonder measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
Long context reasoning (AA-LCR)Not measured80.7%Only Muse Wonder measured
DTBenchNot measured95.2%Only Muse Wonder measured
LMCANot measured56.8%Only Muse Wonder measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena TextNot measured1502Only Muse Wonder measured
LMArena Text: instruction followingNot measured1491Only Muse Wonder measured
LMArena Text: creative writingNot measured1491Only Muse Wonder measured
LMArena Text: EnglishNot measured1507Only Muse Wonder measured
LMArena Text: non-EnglishNot measured1492Only Muse Wonder measured
LMArena Text: ChineseNot measured1537Only Muse Wonder measured
LMArena Text: FrenchNot measured1523Only Muse Wonder measured
LMArena Text: RussianNot measured1522Only Muse Wonder measured
LMArena Text: multi-turnNot measured1510Only Muse Wonder measured
LMArena Text: longer queriesNot measured1493Only Muse Wonder measured
LMArena Text: writing and languageNot measured1496Only Muse Wonder measured
LMArena Text: entertainment and mediaNot measured1482Only Muse Wonder measured
Neither model has a result on the other 28 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Muse Wonder
BenchmarkGemini 2.5 Pro Preview 06-05Muse WonderLeader
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 2.5 Pro Preview 06-05$0.0063Fits in one request
Muse Wonder$0.014Fits in one request

Gemini 2.5 Pro Preview 06-05 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Muse Wonder$0.260Fits in one request

Gemini 2.5 Pro Preview 06-05 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Muse Wonder$1.00Fits in one request

Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05 and Muse Wonder
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Meta Muse Wonder
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedJune 5, 2025October 12, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$4.00
Output $/Mtok$10.00$20.00
Coding index83.164.5
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Muse Wonder for coding?

Gemini 2.5 Pro Preview 06-05 scores 83.1 and Muse Wonder 64.5 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Gemini 2.5 Pro Preview 06-05 when output tokens cost 2.0x less; pick Muse Wonder when the benchmark that matters is Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Muse Wonder?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Muse Wonder?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Muse Wonder comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 1 independent benchmark and Muse Wonder's on 1. Where only one model has a result, the page says so instead of naming a winner.

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