Is Gemini 4 Hydrogen better than Muse Spark 1.3?

Gemini 4 Hydrogen (high) and Muse Spark 1.3 (max) are neck and neck on quality (63.4 vs 61.5, within the ±4.1 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 13 Nov 2026, so check the category scores for your use.

Gemini 4 Hydrogen vs Muse Spark 1.3: which is cheaper, and will that change?

Muse Spark 1.3 is cheaper today: $2.00 against $3.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.

Is Gemini 4 Hydrogen or Muse Spark 1.3 better for coding?

Gemini 4 Hydrogen scores higher in coding (69 vs 60 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1704 for Gemini 4 Hydrogen against 1655 for Muse Spark 1.3.

Which is faster, Gemini 4 Hydrogen or Muse Spark 1.3?

Gemini 4 Hydrogen streams faster (180 vs 138 output tokens per second, Artificial Analysis 7-day median).

Is Gemini 4 Hydrogen or Muse Spark 1.3 better for agents and tool use?

Muse Spark 1.3 scores higher in agentic tasks (65 vs 62 on the category index, where 50 is average).

Which is better for long documents?

Both accept 1,048,576 tokens of context.

Which has lower latency?

Gemini 4 Hydrogen answers first: 16.4 s against 29.7 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.

When was Gemini 4 Hydrogen released?

Gemini 4 Hydrogen was released on 12 Nov 2026.

Gemini 4 Hydrogen vs Muse Spark 1.3

Full profiles: Gemini 4 Hydrogen (Google) and Muse Spark 1.3 (Meta): every benchmark, price and rank.

Updated 13 Nov 2026 · Data from 8 sources

As of 13 Nov 2026, Gemini 4 Hydrogen and Muse Spark 1.3 are neck and neck on quality (63.4 vs 61.5 on the BenchLeader Index, inside the ±4.1 margin), and Muse Spark 1.3 is 1.5× cheaper at $2.00 vs $3.00 per 1M tokens blended. Choose Gemini 4 Hydrogen for knowledge (69 vs 57), reasoning (70 vs 60), and coding (69 vs 60) and fast first answers (16.4 s vs 29.7 s); choose Muse Spark 1.3 for agents & tools (65 vs 62).

Key facts (as of 13 Nov 2026)

Gemini 4 Hydrogen scores 63.4 on the BenchLeader Index and Muse Spark 1.3 scores 61.5 (BenchLeader, 13 Nov 2026).
Gemini 4 Hydrogen costs $3.00 per 1M tokens blended (list price, 13 Nov 2026).
Muse Spark 1.3 costs $2.00 per 1M tokens blended (list price, 13 Nov 2026).
Of the 19 benchmarks both models have, Gemini 4 Hydrogen leads 14 (BenchLeader, 13 Nov 2026).
On Arena WebDev, Gemini 4 Hydrogen is rated 1704 and Muse Spark 1.3 1655 (LMArena, as published by 13 Nov 2026).

Gemini 4 Hydrogen benchmarks high Google

Muse Spark 1.3 benchmarks max Meta Add a third model

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use case	Pick	Why	Confidence
Coding	Gemini 4 Hydrogen	69 vs 60 category score; Arena WebDev 1704 vs 1655	High
Agents & tool use	Muse Spark 1.3	65 vs 62 category score; AA-Briefcase v1.1 1581 vs 1497	Medium
Maths	Gemini 4 Hydrogen	68 vs 63 category score; Arena Maths 1495 vs 1506	Medium
Reasoning	Gemini 4 Hydrogen	70 vs 60 category score; HLE-Diamond (AA) 54.9% vs 33.7%	High
Knowledge	Gemini 4 Hydrogen	69 vs 57 category score; AA-Omniscience v1.1 43.7 vs 22.4	High
Chat quality (human preference)	Either	68 vs 69 on Arena votes	Either
Lowest cost	Muse Spark 1.3	$2.00 vs $3.00 per 1M blended; agentic coding session $0.092 vs $0.120	–
Fastest first answer	Gemini 4 Hydrogen	16.4 s (Gemini 4 Hydrogen (high)) vs 29.7 s (Muse Spark 1.3 (max)) to the first answer token	–
High volume on a budget	Neither flagship	A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs	–

Key differences

Gemini 4 Hydrogen (high) and Muse Spark 1.3 (max) are neck and neck on quality (63.4 vs 61.5, within the ±4.1 margin).
Gemini 4 Hydrogen (high) is stronger in coding, knowledge, maths, reasoning.
Muse Spark 1.3 (max) is stronger in agents & tools, human preference.
Muse Spark 1.3 (max) is 1.5× cheaper ($2.00 vs $3.00 per 1M blended).
Gemini 4 Hydrogen (high) streams 1.3× faster (180 vs 138 tokens per second).

At a glance

Spec	Gemini 4 Hydrogen	Muse Spark 1.3
Developer	Google	Meta
Released	12 Nov 2026	2 Sep 2026
Context window (tokens)	1,048,576	1,048,576
Compared at	Gemini 4 Hydrogen (high)	Muse Spark 1.3 (max)
Open weights	No	No
Price in / out / cached input per 1M	$1.50 / $7.50 / $0.075	$1.25 / $4.25 / $0.150

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

Category	Gemini 4 Hydrogen (high)	Muse Spark 1.3 (max)	Leader
Reasoning	69.6	59.6	Gemini 4 Hydrogen
Coding	68.8	60.4	Gemini 4 Hydrogen
Agents & tools	61.9	65.0	Muse Spark 1.3
Maths	67.8	62.7	Gemini 4 Hydrogen
Knowledge	68.5	57.0	Gemini 4 Hydrogen
Human preference	68.2	69.0	level
Multimodal	–	65.9	not comparable
Long context	–	66.2	not comparable

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

Not drawn, measured for fewer than two of these models: Instruction following, Long context, Multimodal.

Model, click to add or removeIndex

Where sources disagree

Across the 19 benchmarks both have, Gemini 4 Hydrogen leads 14, Muse Spark 1.3 leads 5. Independent sources split: Gemini 4 Hydrogen leads on AA Intelligence Index v5.0; Muse Spark 1.3 leads on Arena Text.

Overall index	Gemini 4 Hydrogen (high)	Muse Spark 1.3 (max)	Leader
BenchLeader Index	63.4	61.5	neck and neck
AA Intelligence Index v5.0	50.8	36.6	Gemini 4 Hydrogen
Arena Text	1490	1497	Muse Spark 1.3

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

Measure	Gemini 4 Hydrogen (high)	Muse Spark 1.3 (max)
Blended price per 1M tokens	$3.00	$2.00
Input / output per 1M	$1.50 / $7.50	$1.25 / $4.25
Cached input per 1M	$0.075	$0.150
Price per task: chat reply	$0.0029	$0.0018
Price per task: summarize a 30-page report	$0.022	$0.018
Price per task: code edit	$0.020	$0.014
Price per task: agentic coding session	$0.120	$0.092
Price per task: structured extraction	$0.0045	$0.0034
Agentic coding session, input mostly cached	$0.056	$0.043
Cost per benchmark task (AA Index)	$1.87	$2.39
Output tokens per task (AA Index)	85k	91k
Of which reasoning	48k	55k
Time per task (AA Index)	8 min	11 min
Output speed	180 tok/s	138 tok/s
Time to first answer	16.4 s	29.7 s
Time to a complete answer	63.3 s	67.8 s

Per token is not per task: an average task of Artificial Analysis' Intelligence Index cost $1.87 on Gemini 4 Hydrogen (high) and $2.39 on Muse Spark 1.3 (max), and Muse Spark 1.3 (max) wrote 1.1× as many output tokens for the same work.

Each model is compared at its best-ranked reasoning-effort setting. Gemini 4 Hydrogen (high) scores 63.4 and takes 16 s to its first answer token. Muse Spark 1.3 (max) scores 61.5 and takes 30 s to its first answer token; Muse Spark 1.3 scores 60.3 in 3 s, Muse Spark 1.3 (xhigh) scores 58.1 in 17 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

110 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

Metric	Publisher	Gemini 4 Hydrogen (high)	Muse Spark 1.3 (max)
BenchLeader Index	BenchLeader	63.4	61.5
Agents & tools score	BenchLeader	61.9	65.0
Coding score	BenchLeader	68.8	60.4
Human preference score	BenchLeader	68.2	69.0
Knowledge score	BenchLeader	68.5	57.0
Maths score	BenchLeader	67.8	62.7
Reasoning score	BenchLeader	69.6	59.6
Long context score	BenchLeader	–	66.2
Multimodal score	BenchLeader	–	65.9
Blended price $/M	BenchLeader	$3.00	$2.00
Output speed	BenchLeader	180 tok/s	138 tok/s
Time to first answer	BenchLeader	16.4 s	29.7 s
Context window	BenchLeader	1,048,576 tokens	1,048,576 tokens
Reasoning
SimpleBench	SimpleBench	–	81.8%†
Arena Hard Prompts	Arena (LMArena)	1514	1517
LiveBench 2.0 Reasoning	LiveBench	88.6%†	89.7%†
LiveBench 1.0 Reasoning	LiveBench	–	89.7%†
GPQA Diamond (AA)	Artificial Analysis	–	93.5%
Humanity's Last Exam (AA)	Artificial Analysis	–	48.7%
HLE-Diamond (AA)	Artificial Analysis	54.9%	33.7%
CritPt	Artificial Analysis	–	24.9%
CritPt v2 hard subset (AA)	Artificial Analysis	61.5%	48.0%
MysteryMechanism	Vals AI	–	36.0%
Chess Puzzles	Epoch AI Benchmarking Hub	–	37.0%
Mystery Game Puzzles	Epoch AI Benchmarking Hub	–	25.0%
LMCA	Epoch AI Benchmarking Hub	–	53.9%†
DTBench	Epoch AI Benchmarking Hub	–	96.5%†
ForecastBench	ForecastBench	–	65.5%
BTF-3	Epoch AI Benchmarking Hub	–	14.1%†
Coding
SciCode	SciCode	–	58.8%
Arena Coding	Arena (LMArena)	1518	1534
Arena WebDev	Arena (LMArena)	1704	1655
LiveBench 2.0 Coding	LiveBench	78.5%†	84.4%†
LiveBench 1.0 Coding	LiveBench	–	81.1%†
IOI	Vals AI	–	56.6%
Code Migration	Vals AI	–	47.4%
ProgramBench	Vals AI	–	2.5%
SWE-bench Multimodal	Vals AI	–	43.1%

Show all 110 benchmarks

Metric	Publisher	Gemini 4 Hydrogen (high)	Muse Spark 1.3 (max)
Coding
Vibe Code Bench 1-100	Vals AI	–	20.5%
Vibe Code Bench v1.1	Vals AI	87.8%†	85.9%
MirrorCode	Epoch AI Benchmarking Hub	–	54.4%
CursorBench	Cursor	–	41.6%
ALE-Bench	Epoch AI Benchmarking Hub	–	1688.3†
FrontierSWE	Epoch AI Benchmarking Hub	–	25.8%
Terminal-Bench 4.0 (AA)	Artificial Analysis	54.0%	33.3%
Terminal-Bench 2.1 (AA)	Artificial Analysis	–	84.3%
Startrise Frontend	Startrise	–	74.7%†
GameBench 2 Overall	DuelLab GameBench 2	–	57.6†
GameBench 2 by reasoning setting	DuelLab GameBench 2	–	68.6†
Design Arena Website	Design Arena	1316†	1352
FrontierCode 1.1 (AA)	Artificial Analysis	–	40.6%
FrontierCode 2.0 (AA)	Artificial Analysis	36.3%	23.1%
Agents & tools
Terminal-Bench	Terminal-Bench	56.4%	14.8%†
APEX-Agents	Mercor	–	47.6%
Arena Agent	Arena (LMArena)	–	2.2
LiveBench Long Agentic	LiveBench	61.8%†	47.9%†
LiveBench Browser	LiveBench	77.1%†	30.9%†
LiveBench Agentic Coding	LiveBench	–	64.1%†
Terminal-Bench 2.1 (Vals)	Vals AI	–	79.0%
HiL-Bench	Scale AI SEAL	–	66.9%†
τ³-Banking (AA)	Artificial Analysis	–	50.5%
ITBench SRE (AA)	Artificial Analysis	–	33.2%
Analyst Agent (AA)	Artificial Analysis	–	37.5%
CUA-bench	Vals AI	–	5.8%
CyberBench	Vals AI	–	72.7%
Finance Agent v2	Vals AI	–	60.0%
Finance Agent v2.1	Vals AI	65.1%†	–
Harvey's Legal Agent Benchmark v1.1	Vals AI	11.3%†	–
Harvey's Legal Agent Benchmark v1	Vals AI	–	23.8%
Legal Research Bench	Vals AI	53.9%†	55.3%
SREBench	Vals AI	–	3.8%
Tax Agent Bench	Vals AI	52.3%†	42.4%
Terminal-Bench 4.0 (Vals)	Vals AI	54.0%†	24.8%
Terminal-Bench Science	Vals AI	–	10.0%
AutomationBench	Artificial Analysis	74.4%	57.9%
GDP.pdf (AA)	Artificial Analysis	30.0%	26.6%
Harvey LAB-AA v1.1	Harvey	–	8.9%
AA-Briefcase v1.1	Artificial Analysis	1497	1581
Design Arena Agentic	Design Arena	–	1274
Terminal-Bench-Science 0.1 (AA)	Artificial Analysis	41.4%	10.9%
Maths
FrontierMath Tiers 1–3	Epoch AI Benchmarking Hub	–	74.0%
FrontierMath Tier 4	Epoch AI Benchmarking Hub	–	46.3%
OTIS Mock AIME	Epoch AI Benchmarking Hub	–	99.2%†
ProofBench	Vals AI	–	58.0%
LiveBench Mathematics	LiveBench	–	96.0%†
Arena Maths	Arena (LMArena)	1495	1506
Knowledge
LiveBench 2.0 Data Analysis	LiveBench	83.2%†	79.6%†
LiveBench Research	LiveBench	86.8%†	82.5%†
LiveBench 1.0 Data Analysis	LiveBench	–	79.6%†
AA-Omniscience v1.1	Artificial Analysis	43.7	22.4
PRBench Finance	Scale AI SEAL	–	59.5%†
PRBench Legal	Scale AI SEAL	–	61.6%†
Excel Modeling Benchmark	Vals AI	–	67.4%
Excel Modeling Benchmark v1.1	Vals AI	75.8%†	–
DrugDiscoveryBench	Scale AI SEAL	–	62.2%†
GDP.pdf	Epoch AI Benchmarking Hub	–	27.6%†
AA-Omniscience v1.1: accuracy	Artificial Analysis	48.2%	38.0%
AA-Omniscience v1.1: non-hallucination	Artificial Analysis	91.3%	74.8%
Instruction following
LiveBench Language	LiveBench	–	82.8%†
LiveBench Instruction Following	LiveBench	–	78.0%†
Arena Instruction Following	Arena (LMArena)	1503	1485
Human preference
Arena Text	Arena (LMArena)	1490	1497
Arena Creative Writing	Arena (LMArena)	1492	1468
Arena Multi-turn	Arena (LMArena)	1476	1493
Arena Longer Queries	Arena (LMArena)	1514	1498
Multimodal
Arena Vision	Arena (LMArena)	–	1310
LiveBench Design	LiveBench	77.3%†	74.8%†
MMMU-Pro	Artificial Analysis	–	82.0%†
GeoBench	GeoBench	–	86.0%†
Code2Video-AA	Artificial Analysis	–	1019
AA-3D	Artificial Analysis	–	1032
Long context
AA-LCR v1.1	Artificial Analysis	–	83.0%
Arena Document	Arena (LMArena)	–	1474
MLCR	Artificial Analysis	21.1%†	13.9%
Composite
Epoch Capabilities Index	Epoch AI Benchmarking Hub	–	158.2†
LiveBench 2.0	LiveBench	77.0%†	68.6%†
LiveBench 1.0	LiveBench	–	81.6%†
AA Intelligence Index v5.0	Artificial Analysis	50.8	36.6
AA Intelligence Index v4.3.2	Artificial Analysis	–	48.1
AA Progress Index v1	Artificial Analysis	–	324.5
Vals Index	Vals AI	68.5†	–
Vals Finance Index	Vals AI	66.1%†	–
Vals RSI Index	Vals AI	–	19.6%

Data as of 2026-11-13. Best configuration of each model; every score links to its source on the model pages.

DuelLab GameBench 2, release gb2-20261110-2acac640a228 (https://benchmarks.duellab.org/releases/gb2-20261110-2acac640a228/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.

What changed

13 Nov 2026 Gemini 4 Hydrogen (high): 10 new results (Arena Text, Arena Hard Prompts, Arena Coding…).
12 Nov 2026 Muse Spark 1.3 (max): 1 score revision.
11 Nov 2026 Muse Spark 1.3 (max): 1 new result (MirrorCode).
10 Nov 2026 Muse Spark 1.3 (max): 1 new result (ForecastBench).
8 Nov 2026 Muse Spark 1.3 (max): 1 score revision.
4 Nov 2026 Muse Spark 1.3 (max): 1 score revision.
29 Oct 2026 Muse Spark 1.3 (max): 1 score revision.
28 Oct 2026 Muse Spark 1.3 (max): BenchLeader Index 64.5 → 61.8.
28 Oct 2026 Muse Spark 1.3 (max): 5 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 3 score revisions; cost per task moved from $1.31/M to $2.39/M (81% up).
27 Oct 2026 Muse Spark 1.3 (max): cost per task moved from $3.69/M to $1.31/M (64% down).

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs