API cost decision in 10 seconds

NewMistral Large 4 vs Muse Spark 1.3

Pick Mistral Large 4 when budget is the priority.

Page updated: 2026-10-08T20:07:22Z Data confirmed: 2026-10-15T01:07:46Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Large 4 when budget is the priority.

On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $3.38 for Muse Spark 1.3, saving $1.65 (48.9% lower).

Cost-first pickMistral Large 4

Context-first pickBoth models

Sample savings$1.6548.9%

10x traffic gap$16.5

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $16.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Large 4 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Mistral Large 4	Muse Spark 1.3
Input-heavy / RAG	5M input + 500K output	Mistral Large 4	$4.45	$8.38
Balanced workload	1M input + 1M output	Mistral Large 4	$2.77	$5.5
Output-heavy chatbot	1M input + 5M output	Mistral Large 4	$11.13	$22.5

Cheaper input Mistral Large 4 $0.68 vs $1.25 / 1M

Mistral Large 4 is $0.57 cheaper per 1M input tokens (45.6% lower; 1.84x difference).

Cheaper output Mistral Large 4 $2.09 vs $4.25 / 1M

Mistral Large 4 is $2.16 cheaper per 1M output tokens (50.8% lower; 2.03x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Mistral Large 4 $1.73 vs $3.38

Mistral Large 4 is $1.65 cheaper on the standard workload (48.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mistral Large 4 Calculating… Estimated API cost

Muse Spark 1.3 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Mistral Large 4 has the lower input price; Mistral Large 4 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Mistral Large 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.73 for Mistral Large 4 and $3.38 for Muse Spark 1.3.

Best Fit

Choose Mistral Large 4 when you care most about lower input-token price, and lower output-token price.

Choose Muse Spark 1.3 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $3.38 for Muse Spark 1.3, saving $1.65 (48.9% lower).
Mistral Large 4 is $1.65 cheaper on the standard workload (48.9% lower).
Mistral Large 4 is $0.57 cheaper per 1M input tokens (45.6% lower; 1.84x difference).
Mistral Large 4 is $2.16 cheaper per 1M output tokens (50.8% lower; 2.03x difference).
Both models report the same context window at 1.05M tokens.

Head-to-Head Specs

Feature	NewMistral Large 4 (Mistral)	Muse Spark 1.3 (Meta)
Input Price prompt tokens per 1M	$0.68	$1.25
Completion Price per 1M tokens	$2.09	$4.25
Sample Workload Cost 1M input + 500K output	$1.73	$3.38
Context Window	1.05M	1.05M
Release Date	2026-10-06	2026-09-02

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Large 4	On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $3.38 for Muse Spark 1.3, saving $1.65 (48.9% lower).
High-volume input processing	Mistral Large 4	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Large 4	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Mistral Nemo can replace Mistral Large 4 when lower sample workload cost matters most: $0.04.
Mistral Small 3 can replace Mistral Large 4 when lower sample workload cost matters most: $0.09.
Ministral 3 8B 2512 (batch) can replace Mistral Large 4 when lower sample workload cost matters most: $0.11.
Ministral 3 3B 2512 can replace Mistral Large 4 when lower sample workload cost matters most: $0.15.

Larger context near this budget

Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Mistral catalog

Review all tracked Mistral models before deciding whether this matchup is the right shortlist.

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Meta catalog

Check other Meta models with comparable pricing, context, or release timing.

Open Meta models

Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

Muse Spark 1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...