AI Models · Paid vs Paid

Mistral Large Paid vs Muse Spark 1.1 Paid

Mistral Large vs Muse Spark 1.1 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Mistral LargePaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
Muse Spark 1.1PaidMeta
$1.25 /M input
$4.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Muse Spark 1.1 for the lower output price ($4.25/M vs $6/M). It also gives you the larger 1M context window.

Mistral Large vs Muse Spark 1.1 specs

SpecMistral LargeMuse Spark 1.1Winner
MakerMistral AIMeta
TypeProprietaryProprietary
Context window128K tokens1M tokensMuse Spark 1.1
Input price$2/M$1.25/MMuse Spark 1.1
Output price$6/M$4.25/MMuse Spark 1.1
Vision / multimodalNoYesMuse Spark 1.1
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

Choose Mistral Large if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Muse Spark 1.1 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityMistral LargeMuse Spark 1.1
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Large vs Muse Spark 1.1

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Muse Spark 1.1 delivers 7.5× more intelligence per dollar.
Mistral Large
Muse Spark 1.1
Intelligence index
6.8
34.3
Math index
0
GPQA
47.2%
89.8%
MMLU-Pro
68.3%
Humanity's Last Exam
2.9%
46.2%
Long Context Reasoning
2%
77.7%
LiveCodeBench
26.7%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
IFBench
31.6%
τ²-Bench
33%
Coding index
71.3
SciCode
58.8%
τ-Bench Banking
31.8%
Terminal-Bench
77.9%
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
2.3
17.2

Benchmark data by Artificial Analysis.

How Mistral Large and Muse Spark 1.1 score

🏆 Best value & openness: Muse Spark 1.1 (3.3 vs 2.7 / 5)
CriterionMistral LargeMuse Spark 1.1
Cost-efficiency4.04.0
Context window3.55.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Mistral Large Paid

Mistral AI · Proprietary

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news

Muse Spark 1.1 Paid

Meta · Proprietary

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...

Frequently asked questions

Mistral Large vs Muse Spark 1.1 — which is cheaper?

Muse Spark 1.1 is cheaper on output ($4.25/M vs $6/M).

Which has the larger context window?

Muse Spark 1.1 offers the larger context window (1M tokens).

Mistral Large vs Muse Spark 1.1 — which should I pick in 2026?

Choose Muse Spark 1.1 for the lower output price ($4.25/M vs $6/M). It also gives you the larger 1M context window.

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