Ministral 3 14B vs Muse Spark 1.2
Pricing verdict: Ministral 3 14B vs Muse Spark 1.2: Ministral 3 14B is cheaper for input-heavy usage ($0.20/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 Ministral 3 14B 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Ministral 3 14B
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs more than Ministral 3 14B
Quick Recommendation
Winner for direct API pricing: Ministral 3 14B. At the default workload, Ministral 3 14B saves about $9.225/month ($112.2375/year) versus Muse Spark 1.2.
Feature Comparison
| Feature | Ministral 3 14B | Muse Spark 1.2 |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.20/1M tokens | $1.25/1M tokens |
| Output Price | $0.20/1M tokens | $4.25/1M tokens |
| Context Window | 256,000 tokens | 1,000,000 tokens |
| Max Output | 32,768 tokens | 131,072 tokens |
| Category | balanced | coding |
| Capabilities | textvision | textvisionaudiovideocodereasoning |
| Release Date | 12/2/2025 | 8/5/2026 |
Ministral 3 14B vs Muse Spark 1.2: Which Should You Choose?
Choosing between Ministral 3 14B and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 14B is the more affordable option at $0.20/1M input tokens — 84% cheaper than Muse Spark 1.2. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 256,000 for Ministral 3 14B.
These models come from different providers — Mistral AI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Ministral 3 14B is a balanced 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 Ministral 3 14B provides a cost-effective option for everyday tasks.
Output costs matter too. Ministral 3 14B charges $0.20/1M 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. Ministral 3 14B has the edge here at $0.20/1M 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 Ministral 3 14B when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
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
Ministral 3 14B
- • Input pricing: $0.20/M tokens
- • Output pricing: $0.20/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 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 Ministral 3 14B
- • Higher output cost than Ministral 3 14B
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Ministral 3 14B (Mistral AI)
Muse Spark 1.2 (Meta (via Together AI))
Start using Ministral 3 14B today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Ministral 3 14B or Muse Spark 1.2?▼
What is the context window difference between Ministral 3 14B and Muse Spark 1.2?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Mistral AI and Meta (via Together AI) API pricing beyond this model matchup?▼
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