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Muse Spark Open vs GPT-6.1 Terra

Detailed technical comparison between Muse Spark Open (Meta) and GPT-6.1 Terra (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Muse Spark Open: 1 WinvsGPT-6.1 Terra: 5 Wins
Context Leader

GPT-6.1 Terra

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-6.1 Terra

$1.00 / MTok
Metaactive

Muse Spark Open

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

View Muse Spark Open Full Specs →
OpenAIactive

GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...

View GPT-6.1 Terra Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMuse Spark OpenGPT-6.1 Terra
ProviderMetaOpenAI
Context Window1,048,576 tokens1,050,000 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-152026-10-26

API Pricing Comparison

Input Price per Million Tokens

Muse Spark Open

$1.25

GPT-6.1 Terra

$1.00

Output Price per Million Tokens

Muse Spark Open

$4.25

GPT-6.1 Terra

$5.00

💡 Cost Ratio: GPT-6.1 Terra is 1.3x cheaper per input token than Muse Spark Open.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.6%vs79.8%+1.8% Muse Spark Open
Muse Spark Open 🏆
GPT-6.1 Terra
HumanEvalPython coding & logic synthesis
76.4%vs78.0%+1.6% GPT-6.1 Terra
Muse Spark Open
GPT-6.1 Terra 🏆
MATHComplex mathematical problem solving
53.6%vs55.2%+1.6% GPT-6.1 Terra
Muse Spark Open
GPT-6.1 Terra 🏆
GPQAGraduate-level expert reasoning
39.0%vs40.6%+1.6% GPT-6.1 Terra
Muse Spark Open
GPT-6.1 Terra 🏆
HellaSwagCommonsense reasoning and inference
81.2%vs82.8%+1.6% GPT-6.1 Terra
Muse Spark Open
GPT-6.1 Terra 🏆
MT-BenchMulti-turn conversation flow quality
8.4%vs8.5%+0.2% GPT-6.1 Terra
Muse Spark Open
GPT-6.1 Terra 🏆

Muse Spark Open Quirks & Gotchas

No developer gotchas reported.

GPT-6.1 Terra Quirks & Gotchas

No developer gotchas reported.

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