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Codestral 2508 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 Codestral 2508 and Muse Spark 1.1.

Mistral

Codestral 2508

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)

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Meta

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...

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Technical Specifications

SpecificationCodestral 2508Muse Spark 1.1
ProviderMistralMeta
Context Window256,000 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-08-012026-07-16

API Pricing Comparison

Input Price per Million Tokens

Codestral 2508

$0.30

Muse Spark 1.1

$1.25

Output Price per Million Tokens

Codestral 2508

$0.90

Muse Spark 1.1

$4.25

Want to test both models live?

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.

Codestral 2508 Quirks & Gotchas

No developer gotchas reported.

Muse Spark 1.1 Quirks & Gotchas

No developer gotchas reported.