LLM Comparison

GPT-6.1 Terra vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Terra vs Muse Spark 1.2 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: GPT-6.1 Terra ranks higher (#35 vs #83) and wins 2 of 3 shared benchmarks.

Rank #35 vs #83AskClash overall scores 61.7 vs 54.0.
Pricing $1.00/$5.00 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryOpenAI vs Meta.

GPT-6.1 Terra vs Muse Spark 1.2 benchmark comparison

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

MetricGPT-6.1 TerraMuse Spark 1.2
Overall Score61.754.0
Leaderboard Rank#35#83
ACB62.154.8
RWT—7.5
HLE46.245.5
GPQA—90.4
Terminal-Bench55.6—
DeepSWE—59.0
GDPval-AA1467.61474.6
MCP Atlas—82.2
Finance Agent—60.6
MMMU-Pro84.7—
Input Price (per 1M tokens)$1.00$1.25
Output Price (per 1M tokens)$5.00$4.25
Context Window1.05M1M
Benchmarks Published810

GPT-6.1 Terra vs Muse Spark 1.2 head-to-head charts

GPT-6.1 Terra leads 3 and Muse Spark 1.2 leads 1 of 4 shared benchmarks. GPT-6.1 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 TerraMuse Spark 1.2
Overall
61.7GPT-6.1 Terra
54.0Muse Spark 1.2
ACB
62.1GPT-6.1 Terra
54.8Muse Spark 1.2
HLE
46.2GPT-6.1 Terra
45.5Muse Spark 1.2
GDPval-AA
1467.6GPT-6.1 Terra
1474.6Muse Spark 1.2
GPT-6.1 Terra
Input$1.00
Output$5.00
Workload$2.00
Context1.05M
Muse Spark 1.2
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 GPT-6.1 Terra and Muse Spark 1.2 comparisons

Explore how GPT-6.1 Terra and Muse Spark 1.2 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.