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Gemini 4 Carbonvs.Muse Spark 1.3

Which one is better?

Gemini 4 Carbon is clearly ahead in the overall index.

IntelligenceOverall index, 0 to 100 · higher is better
96

Gemini 4 Carbon

Rank 1 to 5

69

Muse Spark 1.3

Rank 13 to 18

SpeedTokens per second · higher is better
100

Gemini 4 Carbon

fairly fast

198

Muse Spark 1.3

fast

PriceDollars per 1M tokens · lower is better
n/a

Gemini 4 Carbon

$2

Muse Spark 1.3

fairly expensive

Gemini 4 Carbon

Subscription

Subscriptions in Germany: n/a

Via API

n/a (no API price known).

Muse Spark 1.3

Subscription

No Meta subscription includes this model. Through other providers from ≈ €10.60 a month (Command Code GOAT, with limited credits). 5 plans in Germany.

Via API

$1.25 input, $4.25 output per 1M tokens, unchanged since Sep 3, 2026.

Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT

Where is the difference?

Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.

Gemini 4 Carbon ahead: 6Muse Spark 1.3 ahead: 0level: 0too little data: 3of 9 areas

Gemini 4 CarbonMuse Spark 1.30 to 100, higher is better
Areas in the overall index
CodingGemini 4 Carbon aheadGemini 4 Carbon: 92Muse Spark 1.3: 65
ReasoningGemini 4 Carbon aheadGemini 4 Carbon: 96Muse Spark 1.3: 74
Mathematicsonly Muse Spark 1.3 has a scoreGemini 4 Carbon: not enough dataMuse Spark 1.3: 51
KnowledgeGemini 4 Carbon aheadGemini 4 Carbon: above 99Muse Spark 1.3: 71
AgentsGemini 4 Carbon aheadGemini 4 Carbon: 88Muse Spark 1.3: 58
Generalonly Muse Spark 1.3 has a scoreGemini 4 Carbon: not enough dataMuse Spark 1.3: 72
Multimodalonly Muse Spark 1.3 has a scoreGemini 4 Carbon: not enough dataMuse Spark 1.3: 71
Specialist fields
FinanceGemini 4 Carbon aheadGemini 4 Carbon: 94Muse Spark 1.3: 79
LegalGemini 4 Carbon aheadGemini 4 Carbon: 94Muse Spark 1.3: 65
Show 1 more areas that do not count toward the overall index
Gemini 4 CarbonMuse Spark 1.30 to 100, higher is better
Cybersecurityonly Muse Spark 1.3 has a scoreGemini 4 Carbon: not enough dataMuse Spark 1.3: 79

See for yourself: same task, one attempt

The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.

Pelican on a bicycle

A community classic for free-form SVG drawing.

Gemini 4 Carbon

Not tested yet

Muse Spark 1.3

Muse Spark 1.3: Pelican on a bicycle
A community classic for free-form SVG drawing.

Reasoning (requested): high

Current attempt
Run date
Oct 2, 2026
API provider
openrouter
Requested API model
meta/muse-spark-1.3
API model reported in response
meta/muse-spark-1.3
Reasoning setting
high
Pinned endpoint
Meta | meta/muse-spark-1.3-20260902
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
87.9 s

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (2)
  • Oct 1, 2026Output withheld for safetyReasoning setting: high
  • Sep 7, 2026API request failedReasoning setting: high
Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)
SVG short test

There is no shared test round for this selection. Results from different rounds are not mixed.

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricGemini 4 CarbonMuse Spark 1.3
Intelligence
Overall index0 to 100, higher is better9669
RankRank 1 to 5 of 95Rank 13 to 18 of 95
Price per 1M tokens
Inputwhat you sendn/a$1.25
Outputwhat the model writesn/a$4.25
Speed
Tokens per second100198
Technical
Context windowhow much text the model reads at once1 M tokens≈ 1,500 A4 pages1.05 M tokens≈ 1,570 A4 pages
Knowledge cutoffn/an/a
Releasedn/aSep 2, 2026
AvailabilityLimited accessActive
Open weightsnono
  • Gemini 4 Carbon, Announced introductory pricing: $2 input and $10 output per 1M tokens. Cached input receives a 95% discount, giving $0.10 per 1M tokens. This announcement does not establish an already available public API. Source
  • Gemini 4 Carbon, Announced pricing after the introductory period: Afterward, $4 input and $20 output per 1M tokens. Google has not specified when the introductory period ends. Source
  • Gemini 4 Carbon, Artificial Analysis pricing assumptions: Artificial Analysis calculates test costs using $4 input, $20 output, and $0.20 cached input per 1M tokens. These are the evaluator’s pricing assumptions, not confirmation of a publicly available API tariff. Source

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Shared benchmarks

Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.

No directly comparable result yet

No published benchmark for Gemini 4 Carbon and Muse Spark 1.3 currently matches in version, task and metric. We therefore show no estimated or blended values.

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