Mistral Large 4 vs Muse Spark Open: API Pricing, Limits & Cost Delta
Side-by-side 2026 engineering comparison between Mistral Mistral Large 4 and Meta Muse Spark Open—covering uncached input, cached prefix reads, output rates, max completion tokens, and live 30-day workload savings.
Interactive Workload Cost Delta Simulator
Side-by-Side Unit Price & Capability Matrix
| Dimension | Mistral Large 4 | Muse Spark Open |
|---|---|---|
| Provider & Release Date | Mistral (2026-10-06) | Meta (2026-10-15) |
| Primary Workload Tier | Coding & Agent | Coding & Agent |
| Uncached Input ($ / 1M tokens) | $0.7 | $1.25 |
| Cached Prompt Read ($ / 1M tokens) | $0.07 | $0.15 |
| Output Completion ($ / 1M tokens) | $2.1 | $4.25 |
| 50% Async Batch API | Supported | Not listed |
| Context Window (tokens) | 1,048,576 | 1,048,576 |
| Max Output Tokens | 262,144 | 943,718 |
| Function / Tool Calling | Supported | Supported |
| Strict JSON Schema Outputs | Supported | Supported |
| Reasoning Token Mode | Supported | Supported |
| Accepted Input Modalities | text, image | text, image, video, file, audio |
Decision Rubric: When to Pick Mistral Large 4 vs Muse Spark Open
When to choose Mistral Large 4 (Mistral)
Select Mistral Large 4 when your workload prioritizes its Coding & Agent profile ($0.7/1M input, $0.07/1M cached read, $2.1/1M output) with up to 1,048,576 context tokens and 262,144 max output tokens (50% Batch API supported).
Mistral Large 4 full pricing sheet →When to choose Muse Spark Open (Meta)
Select Muse Spark Open when your workload prioritizes its Coding & Agent profile ($1.25/1M input, $0.15/1M cached read, $4.25/1M output) with up to 1,048,576 context tokens and 943,718 max output tokens (real-time synchronous execution).
Muse Spark Open full pricing sheet →Frequently Asked Questions
Is Mistral Large 4 cheaper than Muse Spark Open for production API workloads?
On standard uncached rates, Mistral Large 4 bills $0.7/1M input and $2.1/1M output versus Muse Spark Open at $1.25/1M input and $4.25/1M output. On a typical 1,000 calls/day workload (4,000 input tokens at 50% cache hit + 800 output tokens), Mistral Large 4 saves $89.40/month (48% lower).
How do Mistral Large 4 and Muse Spark Open compare on context window and max output tokens?
Mistral Large 4 offers a 1,048,576-token context window with 262,144 max output tokens (text, image), while Muse Spark Open provides a 1,048,576-token context window with 943,718 max output tokens (text, image, video, file, audio).
Can I switch between Mistral Large 4 and Muse Spark Open with strict JSON Schema tool calling?
Both models can be evaluated locally in DevToken: Mistral Large 4 (tools: Supported, strict JSON Schema: Supported) vs Muse Spark Open (tools: Supported, strict JSON Schema: Supported). Always verify rate-limit headroom in the 429 Calculator before cutover.