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Muse Spark 1.2 vs o3-mini

Pricing verdict: Muse Spark 1.2 vs o3-mini: o3-mini is cheaper for input-heavy usage ($1.10/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 o3-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.

Meta (via Together AI)
Muse Spark 1.2
vs
OpenAI
o3-mini

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

Muse Spark 1.2

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

o3-mini

Per Request:$0.003300
Daily:$0.33
Monthly:$9.90
Yearly:$120.45

Cost Differences

$0.000075
Per Request
$0.007500
Daily
$0.225
Monthly
$2.7375
Yearly

o3-mini costs less than Muse Spark 1.2

Feature Comparison

FeatureMuse Spark 1.2o3-mini
ProviderMeta (via Together AI)OpenAI
Input Price$1.25/1M tokens$1.10/1M tokens
Output Price$4.25/1M tokens$4.40/1M tokens
Context Window1,000,000 tokens500,000 tokens
Max Output131,072 tokens65,536 tokens
Categorycodingreasoning
Capabilities
textvisionaudiovideocodereasoning
textreasoningcode
Release Date8/5/20261/31/2025

Muse Spark 1.2 vs o3-mini: Which Should You Choose?

Choosing between Muse Spark 1.2 and o3-mini depends on your priorities: cost efficiency, context length, or raw capability. o3-mini is the more affordable option at $1.10/1M input tokens — 12% cheaper than Muse Spark 1.2. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 500,000 for o3-mini.

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

These models target different tiers: Muse Spark 1.2 is a coding model while o3-mini is reasoning. This means they're optimized for different workloads. o3-mini targets more demanding workloads, while Muse Spark 1.2 provides a cost-effective option for everyday tasks.

Output costs matter too. Muse Spark 1.2 charges $4.25/1M output tokens vs $4.40 for o3-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Muse Spark 1.2 has the edge here at $4.25/1M output tokens.

Multimodal capabilities: Muse Spark 1.2 supports vision (image inputs) while o3-mini is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Muse Spark 1.2 when:

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

Choose o3-mini when:

  • • Budget is a primary concern
  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

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 o3-mini

o3-mini

  • Input pricing: $1.10/M tokens
  • Output pricing: $4.40/M tokens
  • Context window: 500,000 tokens
  • Max output: 65,536 tokens

Watch out for

  • Higher output cost than Muse Spark 1.2
  • Smaller context window than Muse Spark 1.2

Try Different Scenarios

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

Muse Spark 1.2 (Meta (via Together AI))

o3-mini (OpenAI)

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Frequently Asked Questions

Which is cheaper, Muse Spark 1.2 or o3-mini?
o3-mini is cheaper for input tokens at $1.10 per million tokens vs $1.25 for Muse Spark 1.2 — that's 12% savings on input costs.
What is the context window difference between Muse Spark 1.2 and o3-mini?
Muse Spark 1.2 supports 1,000,000 tokens while o3-mini supports 500,000 tokens — a difference of 500,000 tokens in favor of Muse Spark 1.2.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning, and direct token pricing is tied. For ai agent / agentic workflows, start with Muse Spark 1.2 if you need the larger 1,000,000-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Muse Spark 1.2 costs about $10.125/month and o3-mini costs about $9.90/month. Overall, o3-mini has lower combined input + output rates ($1.10 in, $4.40 out) vs Muse Spark 1.2.
Where can I compare Meta (via Together AI) and OpenAI API pricing beyond this model matchup?
See the Meta (via Together AI) vs OpenAI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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