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Compare/Muse Glimmer (high) vs GPT-4.1 mini

Muse Glimmer (high)vsGPT-4.1 mini

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Meta

Muse Glimmer (high)

Input
$0.35/M
Output
$1.5/M
Speed
90 tok/s
TTFT
1.06s
OpenAI

GPT-4.1 mini

Input
$0.4/M
Output
$1.6/M
Speed
124 tok/s
TTFT
0.86s

Winner by Category

Cheaper
Muse Glimmer (high)
Faster (tok/s)
GPT-4.1 mini
Lower Latency
GPT-4.1 mini
Benchmarks (2-0)
Muse Glimmer (high)

Pricing Comparison

MetricMuse Glimmer (high)GPT-4.1 mini
Input ($/M tokens)$0.35$0.4
Output ($/M tokens)$1.5$1.6
Cost for 1M input + 100K output tokens:
Muse Glimmer (high)$0.50
GPT-4.1 mini$0.56

Speed Comparison

Output Speed (tokens/s) — higher is better
Muse Glimmer (high)
90 tok/s
GPT-4.1 mini
124 tok/s
Time to First Token (seconds) — lower is better
Muse Glimmer (high)
1.06s
GPT-4.1 mini
0.86s

Editorial Analysis

Verdict. Muse Glimmer (high) wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.

Pricing. Both models sit in the budget bracket for output-token pricing. At 0.9× the per-million-token cost, Muse Glimmer (high) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Muse Glimmer (high) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. Muse Glimmer (high) is strongest on Coding Index (49.0), Intelligence Index (18.1). GPT-4.1 mini leads on Coding Index (20.2), Intelligence Index (10.2).

Speed. On throughput, GPT-4.1 mini generates tokens at 124 tok/s versus 90 tok/s — about 27% faster. On time-to-first-token, GPT-4.1 mini responds in 860ms vs 1060ms, which matters most for chat-style UIs.

Provider. Meta and OpenAI sell to overlapping but distinct developer audiences: Meta tends to ship frontier reasoning models with premium positioning, while OpenAI often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Muse Glimmer (high) costs $33.00 ($396/year); GPT-4.1 mini costs $36.00 ($432/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Muse Glimmer (high) ≈ $4.75/run, GPT-4.1 mini ≈ $5.20/run. At agent/realtime scale (200M input / 100M output per million requests): Muse Glimmer (high) ≈ $220/run, GPT-4.1 mini ≈ $240/run. Muse Glimmer (high) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.110.2
Coding Index
49.020.2
Math Index
——
GPQA Diamond
——
MMLU-Pro
——
LiveCodeBench
——
AIME 2025
——
MATH-500
——
Humanity's Last Exam
——
SciCode
——
IFBench
——
TerminalBench
——
Muse Glimmer (high)2 wins
0 winsGPT-4.1 mini

Frequently Asked Questions

Which is cheaper, Muse Glimmer (high) or GPT-4.1 mini?

Muse Glimmer (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.64/M tokens vs $0.70/M for GPT-4.1 mini.

Which model performs better on benchmarks?

Muse Glimmer (high) wins 2 out of 12 benchmarks compared to 0 for GPT-4.1 mini. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-4.1 mini generates tokens faster at 124 tok/s vs 90 tok/s. However, GPT-4.1 mini has lower time-to-first-token (0.86s vs 1.06s).

When should I use Muse Glimmer (high) vs GPT-4.1 mini?

Choose based on your priorities: Muse Glimmer (high) for lower cost, Muse Glimmer (high) for stronger benchmark performance, and GPT-4.1 mini for faster generation. For latency-sensitive apps, check the TTFT comparison above.