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Gemini 4 Hydrogen vs Muse Ember

Gemini 4 Hydrogen leads Muse Ember on coding, 77.9 to 64.9 on the Vibe Coding Index, and Muse Ember costs 15.0x less per output token ($0.50 vs $7.50 per million). Updated November 14, 2026; 14 benchmarks have a result for both.

Gemini 4 HydrogenGoogle
Coding
77.9
Overall
77.1
Output $/M
$7.50
13
Muse EmberMeta
Coding
64.9
Overall
No data
Output $/M
$0.50
1
vs boards won of 14 shared

Gemini 4 Hydrogen or Muse Ember: which to pick

Pick Gemini 4 Hydrogen for coding: it scores 77.9 on the Vibe Coding Index against 64.9 for Muse Ember.

Pick Muse Ember for output tokens 15.0x cheaper ($0.50 vs $7.50 per million) and work measured by Harvey's Legal Agent Benchmark (Vals AI), where it leads.

Shared results
14
Gemini 4 Hydrogen only
36
Muse Ember only
1
Like-for-like categories
5 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.

At a glance

Coding index
Gemini 4 Hydrogen 77.9 from 4 benchmarks, Muse Ember 64.9 from 3 benchmarks.
Widest category
Reasoning, 30.3 points apart on average over 2 shared benchmarks.
Widest single gap
HLE-Diamond (Artificial Analysis run): Gemini 4 Hydrogen 58.8% against Muse Ember 25.1%, 33.7 points apart on a 0 to 100 scale.
Output price
Gemini 4 Hydrogen $7.50 against Muse Ember $0.50 per million output tokens, 15.0x 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 4 HydrogenBarsMuse EmberTies
Coding70
Agentic work21
Reasoning20
Knowledge10
General10
All shared boards131
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
LiveBench coding78.5%Not measuredOnly Gemini 4 Hydrogen measured
LMArena WebDev17041609Gemini 4 Hydrogen
Terminal-Bench 4 (Vals AI)54.0%39.4%Gemini 4 Hydrogen
Vibe Code Bench (Vals AI)87.8%83.7%Gemini 4 Hydrogen
Terminal-Bench 4.0 (Artificial Analysis run)54.0%40.9%Gemini 4 Hydrogen
FrontierCode 2.039.0%27.2%Gemini 4 Hydrogen
LMArena Text: coding1516Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: software and IT1513Not measuredOnly Gemini 4 Hydrogen measured
LMArena WebDev: React17241616Gemini 4 Hydrogen
LMArena WebDev: HTML17431621Gemini 4 Hydrogen
CursorBench 4.057.8%Not measuredOnly Gemini 4 Hydrogen measured
Neither model has a result on the other 41 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
Neither model has a result on 2 boards here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
Agentic work benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
LiveBench research86.8%Not measuredOnly Gemini 4 Hydrogen measured
LiveBench browser77.1%Not measuredOnly Gemini 4 Hydrogen measured
LiveBench long agentic61.8%Not measuredOnly Gemini 4 Hydrogen measured
Tax Agent Bench (Vals AI)52.3%38.2%Gemini 4 Hydrogen
Legal Research Bench (Vals AI)53.8%49.0%Gemini 4 Hydrogen
Harvey's Legal Agent Benchmark (Vals AI)11.3%25.0%Muse Ember
APEX-AgentsNot measured64.3%Only Muse Ember measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
LiveBench reasoning88.6%Not measuredOnly Gemini 4 Hydrogen measured
HLE-Diamond (Artificial Analysis run)58.8%25.1%Gemini 4 Hydrogen
CritPt v2, hard subset (Artificial Analysis run)66.0%39.0%Gemini 4 Hydrogen
LMArena Text: hard prompts1520Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: expert1558Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: hard prompts in English1514Not measuredOnly Gemini 4 Hydrogen measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
LMArena Text: math1507Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: mathematical work1534Not measuredOnly Gemini 4 Hydrogen measured
Neither model has a result on the other 12 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
AA-Omniscience46.37.7Gemini 4 Hydrogen
LMArena Text: science1519Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: medicine and healthcare1488Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: legal and government1532Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: business and finance1486Not measuredOnly Gemini 4 Hydrogen measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
Design Arena: websites1320Not measuredOnly Gemini 4 Hydrogen measured
Design Arena: game dev1369Not measuredOnly Gemini 4 Hydrogen measured
Design Arena: 3D1415Not measuredOnly Gemini 4 Hydrogen measured
Design Arena: all code categories1333Not measuredOnly Gemini 4 Hydrogen measured
LiveBench design77.3%Not measuredOnly Gemini 4 Hydrogen measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
Vals Index68.5%60.5%Gemini 4 Hydrogen
LiveBench data analysis83.2%Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text1502Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: instruction following1519Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: creative writing1509Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: English1499Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: non-English1495Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: Chinese1631Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: French1512Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: Spanish1494Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: Russian1492Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: multi-turn1485Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: longer queries1524Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: writing and language1500Not measuredOnly Gemini 4 Hydrogen measured
LMArena Text: entertainment and media1503Not measuredOnly Gemini 4 Hydrogen measured
Neither model has a result on the other 34 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 4 Hydrogen and Muse Ember
BenchmarkGemini 4 HydrogenMuse EmberLeader
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 4 Hydrogen$0.0053Fits in one request
Muse Ember$0.0003Fits in one request

Muse Ember costs less

Repository review

50K input + 3K output tokens

Gemini 4 Hydrogen$0.098Fits in one request
Muse Ember$0.0065Fits in one request

Muse Ember costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Hydrogen$0.375Fits in one request
Muse Ember$0.025Fits in one request

Muse Ember 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 4 Hydrogen and Muse Ember
SpecificationGoogle Gemini 4 HydrogenMeta Muse Ember
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 12, 2026November 9, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$0.10
Output $/Mtok$7.50$0.50
Coding index77.964.9
Independent measurements behind it43
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Hydrogen better than Muse Ember for coding?

Pick Gemini 4 Hydrogen for coding: it scores 77.9 on the Vibe Coding Index against 64.9 for Muse Ember. Pick Muse Ember for output tokens 15.0x cheaper ($0.50 vs $7.50 per million) and work measured by Harvey's Legal Agent Benchmark (Vals AI), where it leads.

Which is cheaper, Gemini 4 Hydrogen or Muse Ember?

Gemini 4 Hydrogen costs $1.50 per million input tokens and $7.50 per million output tokens; Muse Ember costs $0.10 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 4 Hydrogen or Muse Ember?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 4 Hydrogen vs Muse Ember comparison based on?

14 benchmarks have a result for both models as of November 14, 2026. Gemini 4 Hydrogen's coding index rests on 4 independent benchmarks and Muse Ember's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-4-hydrogen-vs-meta-muse-ember" title="Gemini 4 Hydrogen vs Muse Ember, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-4-hydrogen-vs-meta-muse-ember">LLMBenchmark.ai, Gemini 4 Hydrogen vs Muse Ember</a></p>