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Muse Spark 1.2 vs GPT-6.1 Terra

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

ModelsHardware
Muse Spark 1.2

Meta

Sources:models.devOpenRouter

GPT-6.1 Terra

OpenAI

Sources:models.devOpenRouter

Benchmark results

Head to head on 3 benchmarks both models report

  • Muse Spark 1.21lead
  • GPT-6.1 Terra2leads

  • Arena Text

    Arena rating · Higher is better

    • Muse Spark 1.2
      1493
      Arena #13CI 1488 to 1499
    • GPT-6.1 Terra
      Not reported
    Runs and sources
    Muse Spark 1.2
    • xhigh149395% CI 1488 to 1499 · 15,004 votes
    GPT-6.1 Terra

    Not reported

    Source:Arena Text leaderboard, 2026-11-09

  • Arena WebDev

    Arena rating · Higher is better

    • Muse Spark 1.2
      1534
      Arena #58CI 1520 to 1547
    • GPT-6.1 Terra
      Best1679
      +145 ahead · Arena #13CI 1668 to 1689
    Runs and sources
    Muse Spark 1.2
    • xhigh153495% CI 1520 to 1547 · 2,120 votes
    GPT-6.1 Terra
    • max167995% CI 1668 to 1689 · 3,944 votes
    Source:Arena WebDev leaderboard, 2026-11-10

  • Arena Vision

    Arena rating · Higher is better

    • Muse Spark 1.2
      1294
      Arena #9CI 1279 to 1308
    • GPT-6.1 Terra
      Not reported
    Runs and sources
    Muse Spark 1.2
    • xhigh129495% CI 1279 to 1308 · 1,930 votes
    GPT-6.1 Terra

    Not reported

    Source:Arena Vision leaderboard, 2026-11-09

  • Agent Arena

    IPS score · Higher is better

    • Muse Spark 1.2
      -0.082
      Arena #51CI -0.091 to -0.074
    • GPT-6.1 Terra
      Best+0.120
      +0.202 ahead · Arena #8CI +0.107 to +0.133
    Runs and sources
    Muse Spark 1.2
    • xhigh-0.08295% CI -0.091 to -0.074 · 3,873,282 observations
    GPT-6.1 Terra
    • max+0.12095% CI +0.107 to +0.133 · 8,572,270 observations
    Source:Agent Arena leaderboard, 2026-11-11

  • FrontierMath-Tier-4-v2-Private

    Best published score · Higher is better

    • Muse Spark 1.2
      Not reported
    • GPT-6.1 Terra
      92.7%
      #6 of 72
    Runs and sources
    Muse Spark 1.2

    Not reported

    GPT-6.1 Terra
    • max92.7%
    Source:Epoch AI evaluation

  • FrontierMath-Tiers-1-3-v2-Private

    Best published score · Higher is better

    • Muse Spark 1.2
      Not reported
    • GPT-6.1 Terra
      90.9%
      #5 of 87
    Runs and sources
    Muse Spark 1.2

    Not reported

    GPT-6.1 Terra
    • max90.9%
    Source:Epoch AI evaluation

  • GPQA diamond

    Best published score · Higher is better

    • Muse Spark 1.2
      Not reported
    • GPT-6.1 Terra
      94.3%
      #10 of 161
    Runs and sources
    Muse Spark 1.2

    Not reported

    GPT-6.1 Terra
    • max94.3%
    Source:Epoch AI evaluation

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Muse Spark 1.2
      Not reported
    • GPT-6.1 Terra
      100.0%
      #1 of 158
    Runs and sources
    Muse Spark 1.2

    Not reported

    GPT-6.1 Terra
    • max100.0%
    Source:Epoch AI evaluation

  • SimpleQA Verified

    Best published score · Higher is better

    • Muse Spark 1.2
      Best60.3%
      +3.0 pts ahead · #18 of 87
    • GPT-6.1 Terra
      57.3%
      #21 of 87
    Runs and sources
    Muse Spark 1.2
    • xhigh60.3%
    GPT-6.1 Terra
    • max57.3%
    Source:Epoch AI evaluation

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
August 5, 2026
October 26, 2026
Context window
1M
1.1M
Native context
—
—
Max output tokens
943,718
128,000
Knowledge cutoff
—
2026-06-01
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
$1.25
$1.00
Output
$4.25
$5.00
Cached input
$0.15
$0.05
Cache write
—
$1.25

Capabilities and modalities

Input modalities
text, image, video, file
file, image, text
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
include_reasoning, max_tokens, reasoning, reasoning_effort, repetition_penalty, response_format, structured_outputs, temperature, tool_choice, tools, top_k, top_p
include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools, verbosity
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
Other
GPT
Instruction format
—
—
License
—
—
Providers
1
3
Provider endpoints
1
14
Ollama variants
0
0
Metadata source
ai-research
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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