Codestral vs Muse Spark 1.2

Pricing verdict: Codestral vs Muse Spark 1.2: Codestral is cheaper for input-heavy usage ($0.30/M vs $1.25/M input tokens), while Muse Spark 1.2 is better for long-context tasks (1,000,000 tokens).

Direct answer: choose Codestral for lower token spend and choose Muse Spark 1.2 when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Mistral AI

Codestral

Meta (via Together AI)

Muse Spark 1.2

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Codestral pricing page Muse Spark 1.2 pricing page Mistral AI provider overview Meta (via Together AI) provider overview

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Codestral

Per Request:$0.000750

Daily:$0.075

Monthly:$2.25

Yearly:$27.375

Muse Spark 1.2

Per Request:$0.003375

Daily:$0.3375

Monthly:$10.125

Yearly:$123.1875

Cost Differences

+$0.002625

Per Request

+$0.2625

Daily

+$7.875

Monthly

+$95.8125

Yearly

Muse Spark 1.2 costs more than Codestral

Quick Recommendation

Winner for direct API pricing: Codestral. At the default workload, Codestral saves about $7.875/month ($95.8125/year) versus Muse Spark 1.2.

Codestral full pricing breakdown Muse Spark 1.2 full pricing breakdown Mistral AI API pricing details Meta (via Together AI) API pricing details Mistral AI vs Meta (via Together AI) API pricing Codex Mini vs Mistral Medium 3 Codex Mini vs Ministral 3 14B

Feature Comparison

Feature	Codestral	Muse Spark 1.2
Provider	Mistral AI	Meta (via Together AI)
Input Price	$0.30/1M tokens	$1.25/1M tokens
Output Price	$0.90/1M tokens	$4.25/1M tokens
Context Window	128,000 tokens	1,000,000 tokens
Max Output	32,768 tokens	131,072 tokens
Category	balanced	coding
Capabilities	textcode	textvisionaudiovideocodereasoning
Release Date	7/30/2025	8/5/2026

Codestral vs Muse Spark 1.2: Which Should You Choose?

Choosing between Codestral and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 76% cheaper than Muse Spark 1.2. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Codestral.

These models come from different providers — Mistral AI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Codestral is a balanced model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Muse Spark 1.2 targets more demanding workloads, while Codestral provides a cost-effective option for everyday tasks.

Output costs matter too. Codestral charges $0.90/1M output tokens vs $4.25 for Muse Spark 1.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codestral has the edge here at $0.90/1M output tokens.

Multimodal capabilities: Muse Spark 1.2 supports vision (image inputs) while Codestral is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Codestral when:

• Budget is a primary concern
• You're already using Mistral AI's API ecosystem

Choose Muse Spark 1.2 when:

• You need a larger context window (1,000,000 tokens)
• You need more capabilities (vision, audio, video, reasoning)
• You need longer outputs (up to 131,072 tokens)
• You're already using Meta (via Together AI)'s API ecosystem

Pros and Caveats at a Glance

Codestral

• Input pricing: $0.30/M tokens
• Output pricing: $0.90/M tokens
• Context window: 128,000 tokens
• Max output: 32,768 tokens

Watch out for

• Smaller context window than Muse Spark 1.2

Muse Spark 1.2

• Input pricing: $1.25/M tokens
• Output pricing: $4.25/M tokens
• Context window: 1,000,000 tokens
• Max output: 131,072 tokens

Watch out for

• Higher input cost than Codestral
• Higher output cost than Codestral

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Codestral (Mistral AI)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Muse Spark 1.2 (Meta (via Together AI))

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Start using Codestral today

Start using Muse Spark 1.2 today

Frequently Asked Questions

Which is cheaper, Codestral or Muse Spark 1.2?▼

Codestral is cheaper for input tokens at $0.30 per million tokens vs $1.25 for Muse Spark 1.2 — that's 76% savings on input costs.

What is the context window difference between Codestral and Muse Spark 1.2?▼

Codestral supports 128,000 tokens while Muse Spark 1.2 supports 1,000,000 tokens — a difference of 872,000 tokens in favor of Muse Spark 1.2.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Codestral is the lower-cost option, while Muse Spark 1.2 offers a larger context window (1,000,000 vs 128,000 tokens). Choose Codestral for budget sensitivity or Muse Spark 1.2 for longer context tasks.

Which model has better overall pricing for heavy usage?▼

At 100 requests/day with 1,000 input and 500 output tokens each, Codestral costs about $2.25/month and Muse Spark 1.2 costs about $10.125/month. Overall, Codestral has lower combined input + output rates ($0.30 in, $0.90 out) vs Muse Spark 1.2.

Where can I compare Mistral AI and Meta (via Together AI) API pricing beyond this model matchup?▼

See the Mistral AI vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.