Mistral Small 3 vs Muse Spark 1.1
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Small 3 and Muse Spark 1.1.
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
Technical Specifications
| Specification | Mistral Small 3 | Muse Spark 1.1 |
|---|---|---|
| Provider | Mistral | Meta |
| Context Window | 32,768 tokens | 1,048,576 tokens |
| Agent Suitability | 84/100 | N/A |
| Time to First Token (TTFT) | 120 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-01-30 | 2026-07-16 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3
$0.10
Muse Spark 1.1
$1.25
Output Price per Million Tokens
Mistral Small 3
$0.30
Muse Spark 1.1
$4.25
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Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Small 3 Quirks & Gotchas
- ▸Fastest TTFT at lowest cost — ideal for high-volume classification
- ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3
Muse Spark 1.1 Quirks & Gotchas
No developer gotchas reported.