Magistral Small vs Muse Spark 1.2
Pricing verdict: Magistral Small vs Muse Spark 1.2: Magistral Small is cheaper for input-heavy usage ($0.50/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 Magistral Small 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)
Magistral Small
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs more than Magistral Small
Quick Recommendation
Winner for direct API pricing: Magistral Small. At the default workload, Magistral Small saves about $6.375/month ($77.5625/year) versus Muse Spark 1.2.
Feature Comparison
| Feature | Magistral Small | Muse Spark 1.2 |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.50/1M tokens | $1.25/1M tokens |
| Output Price | $1.50/1M tokens | $4.25/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 16,384 tokens | 131,072 tokens |
| Category | reasoning | coding |
| Capabilities | textreasoning | textvisionaudiovideocodereasoning |
| Release Date | 12/15/2025 | 8/5/2026 |
Magistral Small vs Muse Spark 1.2: Which Should You Choose?
Choosing between Magistral Small and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. Magistral Small is the more affordable option at $0.50/1M input tokens — 60% 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 Magistral Small.
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: Magistral Small is a reasoning model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Magistral Small is built for complex tasks that require deeper reasoning, while Muse Spark 1.2 offers better value for routine operations.
Output costs matter too. Magistral Small charges $1.50/1M 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. Magistral Small has the edge here at $1.50/1M output tokens.
Multimodal capabilities: Muse Spark 1.2 supports vision (image inputs) while Magistral Small is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Magistral Small 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 (vision, audio, video, code)
- • 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
Magistral Small
- • Input pricing: $0.50/M tokens
- • Output pricing: $1.50/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 Magistral Small
- • Higher output cost than Magistral Small
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Magistral Small (Mistral AI)
Muse Spark 1.2 (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
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Which model has better overall pricing for heavy usage?▼
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