Muse Spark 1.2 vs Voxtral Small
Pricing verdict: Muse Spark 1.2 vs Voxtral Small: Voxtral Small is cheaper for input-heavy usage ($0.10/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 Voxtral 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)
Muse Spark 1.2
Voxtral Small
Cost Differences
Voxtral Small costs less than Muse Spark 1.2
Quick Recommendation
Winner for direct API pricing: Voxtral Small. At the default workload, Voxtral Small saves about $9.225/month ($112.2375/year) versus Muse Spark 1.2.
Feature Comparison
| Feature | Muse Spark 1.2 | Voxtral Small |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $1.25/1M tokens | $0.10/1M tokens |
| Output Price | $4.25/1M tokens | $0.40/1M tokens |
| Context Window | 1,000,000 tokens | 32,000 tokens |
| Max Output | 131,072 tokens | 8,192 tokens |
| Category | coding | efficient |
| Capabilities | textvisionaudiovideocodereasoning | textaudiotranscription |
| Release Date | 8/5/2026 | 7/15/2026 |
Muse Spark 1.2 vs Voxtral Small: Which Should You Choose?
Choosing between Muse Spark 1.2 and Voxtral Small depends on your priorities: cost efficiency, context length, or raw capability. Voxtral Small is the more affordable option at $0.10/1M input tokens — 92% cheaper than Muse Spark 1.2. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 32,000 for Voxtral Small.
These models come from different providers — Meta (via Together AI) and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to Mistral AIinvolves 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 Voxtral Small is efficient. This means they're optimized for different workloads. Voxtral Small 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 $0.40 for Voxtral Small. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Voxtral Small has the edge here at $0.40/1M output tokens.
Multimodal capabilities: Muse Spark 1.2 supports vision (image inputs) while Voxtral Small 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, video, code, reasoning)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Choose Voxtral Small when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
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 Voxtral Small
- • Higher output cost than Voxtral Small
Voxtral Small
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.40/M tokens
- • Context window: 32,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • 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))
Voxtral Small (Mistral AI)
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