LLM Comparison

Gemini 4 Carbon vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Side-by-side Gemini 4 Carbon vs Muse Spark 1.1 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Gemini 4 Carbon ranks higher (#5 vs #35) and wins 2 of 3 shared benchmarks; Muse Spark 1.1 costs less ($1.25/$4.25 vs $4.00/$20.0 per 1M tokens).

Rank #5 vs #35AskClash overall scores 73.8 vs 51.6.
Pricing $4.00/$20.0 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs Meta.

Gemini 4 Carbon vs Muse Spark 1.1 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGemini 4 CarbonMuse Spark 1.1
Overall Score73.851.6
Leaderboard Rank#5#35
ACB80.851.3
RWT—7.5
Coding Agent Index59.4—
HLE60.462.1
SWE-Pro—61.5
SWE-Atlas63.7—
Terminal-Bench65.2—
DeepSWE—53.3
GDPval-AA1732.71381.0
OSWorld—80.8
MCP Atlas—88.1
Finance Agent67.2—
CharXiv—88.4
MRCR—54.1
Input Price (per 1M tokens)$4.00$1.25
Output Price (per 1M tokens)$20.0$4.25
Context Window1M1M
Benchmarks Published108

Gemini 4 Carbon vs Muse Spark 1.1 head-to-head charts

Gemini 4 Carbon leads 3 and Muse Spark 1.1 leads 1 of 4 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 4 CarbonMuse Spark 1.1
Overall
73.8Gemini 4 Carbon
51.6Muse Spark 1.1
ACB
80.8Gemini 4 Carbon
51.3Muse Spark 1.1
HLE
60.4Gemini 4 Carbon
62.1Muse Spark 1.1
GDPval-AA
1732.7Gemini 4 Carbon
1381.0Muse Spark 1.1
Gemini 4 Carbon
Input$4.00
Output$20.0
Workload$8.00
Context1M
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Gemini 4 Carbon and Muse Spark 1.1 comparisons

Explore how Gemini 4 Carbon and Muse Spark 1.1 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.