Mistral Medium 3.1 vs Muse Spark 1.2
Pricing verdict: Mistral Medium 3.1 vs Muse Spark 1.2: Mistral Medium 3.1 is cheaper for input-heavy usage ($0.40/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 Mistral Medium 3.1 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)
Mistral Medium 3.1
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs more than Mistral Medium 3.1
Quick Recommendation
Winner for direct API pricing: Mistral Medium 3.1. At the default workload, Mistral Medium 3.1 saves about $5.925/month ($72.0875/year) versus Muse Spark 1.2.
Feature Comparison
| Feature | Mistral Medium 3.1 | Muse Spark 1.2 |
|---|---|---|
| Provider | Mistral AI | Meta (via Together AI) |
| Input Price | $0.40/1M tokens | $1.25/1M tokens |
| Output Price | $2.00/1M tokens | $4.25/1M tokens |
| Context Window | 131,072 tokens | 1,000,000 tokens |
| Max Output | 16,384 tokens | 131,072 tokens |
| Category | balanced | coding |
| Capabilities | textcodereasoning | textvisionaudiovideocodereasoning |
| Release Date | 8/1/2025 | 8/5/2026 |
Mistral Medium 3.1 vs Muse Spark 1.2: Which Should You Choose?
Choosing between Mistral Medium 3.1 and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Medium 3.1 is the more affordable option at $0.40/1M input tokens — 68% cheaper than Muse Spark 1.2. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 131,072 for Mistral Medium 3.1.
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: Mistral Medium 3.1 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 Mistral Medium 3.1 provides a cost-effective option for everyday tasks.
Output costs matter too. Mistral Medium 3.1 charges $2.00/1M 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. Mistral Medium 3.1 has the edge here at $2.00/1M output tokens.
Multimodal capabilities: Muse Spark 1.2 supports vision (image inputs) while Mistral Medium 3.1 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Mistral Medium 3.1 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)
- • 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
Mistral Medium 3.1
- • Input pricing: $0.40/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 131,072 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 Mistral Medium 3.1
- • Higher output cost than Mistral Medium 3.1
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Mistral Medium 3.1 (Mistral AI)
Muse Spark 1.2 (Meta (via Together AI))
Start using Mistral Medium 3.1 today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Mistral Medium 3.1 or Muse Spark 1.2?▼
What is the context window difference between Mistral Medium 3.1 and Muse Spark 1.2?▼
Which model is better for AI Agent / Agentic Workflows?▼
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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