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GPT-4o mini vs Muse Spark 1.2

Pricing verdict: GPT-4o mini vs Muse Spark 1.2: GPT-4o mini is cheaper for input-heavy usage ($0.15/M vs $1.25/M input tokens), while Muse Spark 1.2 is better for long-context tasks (1,000,000 tokens).

Direct answer: choose GPT-4o mini for lower token spend and choose Muse Spark 1.2 when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

OpenAI
GPT-4o mini
vs
Meta (via Together AI)
Muse Spark 1.2

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

GPT-4o mini

Per Request:$0.000450
Daily:$0.045
Monthly:$1.35
Yearly:$16.425

Muse Spark 1.2

Per Request:$0.003375
Daily:$0.3375
Monthly:$10.125
Yearly:$123.1875

Cost Differences

+$0.002925
Per Request
+$0.2925
Daily
+$8.775
Monthly
+$106.7625
Yearly

Muse Spark 1.2 costs more than GPT-4o mini

Feature Comparison

FeatureGPT-4o miniMuse Spark 1.2
ProviderOpenAIMeta (via Together AI)
Input Price$0.15/1M tokens$1.25/1M tokens
Output Price$0.60/1M tokens$4.25/1M tokens
Context Window128,000 tokens1,000,000 tokens
Max Output16,384 tokens131,072 tokens
Categoryefficientcoding
Capabilities
textvision
textvisionaudiovideocodereasoning
Release Date7/18/20248/5/2026

GPT-4o mini vs Muse Spark 1.2: Which Should You Choose?

Choosing between GPT-4o mini and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. GPT-4o mini is the more affordable option at $0.15/1M input tokens — 88% cheaper than Muse Spark 1.2. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 128,000 for GPT-4o mini.

These models come from different providers — OpenAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: GPT-4o mini is a efficient model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Muse Spark 1.2 targets more demanding workloads, while GPT-4o mini provides a cost-effective option for everyday tasks.

Output costs matter too. GPT-4o mini charges $0.60/1M output tokens vs $4.25 for Muse Spark 1.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4o mini has the edge here at $0.60/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose GPT-4o mini when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Muse Spark 1.2 when:

  • • You need a larger context window (1,000,000 tokens)
  • • You need more capabilities (audio, video, code, reasoning)
  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem

Pros and Caveats at a Glance

GPT-4o mini

  • Input pricing: $0.15/M tokens
  • Output pricing: $0.60/M tokens
  • Context window: 128,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Smaller context window than Muse Spark 1.2

Muse Spark 1.2

  • Input pricing: $1.25/M tokens
  • Output pricing: $4.25/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Higher input cost than GPT-4o mini
  • Higher output cost than GPT-4o mini

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

GPT-4o mini (OpenAI)

Muse Spark 1.2 (Meta (via Together AI))

Start using GPT-4o mini today

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Start using Muse Spark 1.2 today

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Frequently Asked Questions

Which is cheaper, GPT-4o mini or Muse Spark 1.2?
GPT-4o mini is cheaper for input tokens at $0.15 per million tokens vs $1.25 for Muse Spark 1.2 — that's 88% savings on input costs.
What is the context window difference between GPT-4o mini and Muse Spark 1.2?
GPT-4o mini supports 128,000 tokens while Muse Spark 1.2 supports 1,000,000 tokens — a difference of 872,000 tokens in favor of Muse Spark 1.2.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, GPT-4o mini is the lower-cost option, while Muse Spark 1.2 offers a larger context window (1,000,000 vs 128,000 tokens). Choose GPT-4o mini for budget sensitivity or Muse Spark 1.2 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, GPT-4o mini costs about $1.35/month and Muse Spark 1.2 costs about $10.125/month. Overall, GPT-4o mini has lower combined input + output rates ($0.15 in, $0.60 out) vs Muse Spark 1.2.
Where can I compare OpenAI and Meta (via Together AI) API pricing beyond this model matchup?
See the OpenAI vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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