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Mistral Medium 3.5 vs Muse Spark 1.2

Pricing verdict: Mistral Medium 3.5 vs Muse Spark 1.2: Muse Spark 1.2 is cheaper for input-heavy usage ($1.25/M vs $1.50/M input tokens), while Muse Spark 1.2 is better for long-context tasks (1,000,000 tokens).

Direct answer: choose Muse Spark 1.2 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
Mistral Medium 3.5
vs
Meta (via Together AI)
Muse Spark 1.2

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

Mistral Medium 3.5

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Muse Spark 1.2

Per Request:$0.003375
Daily:$0.3375
Monthly:$10.125
Yearly:$123.1875

Cost Differences

$0.001875
Per Request
$0.1875
Daily
$5.625
Monthly
$68.4375
Yearly

Muse Spark 1.2 costs less than Mistral Medium 3.5

Quick Recommendation

Winner for direct API pricing: Muse Spark 1.2. At the default workload, Muse Spark 1.2 saves about $5.625/month ($68.4375/year) versus Mistral Medium 3.5.

Feature Comparison

FeatureMistral Medium 3.5Muse Spark 1.2
ProviderMistral AIMeta (via Together AI)
Input Price$1.50/1M tokens$1.25/1M tokens
Output Price$7.50/1M tokens$4.25/1M tokens
Context Window256,000 tokens1,000,000 tokens
Max Output32,768 tokens131,072 tokens
Categoryflagshipcoding
Capabilities
textvisioncodereasoning
textvisionaudiovideocodereasoning
Release Date4/29/20268/5/2026

Mistral Medium 3.5 vs Muse Spark 1.2: Which Should You Choose?

Choosing between Mistral Medium 3.5 and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. Muse Spark 1.2 is the more affordable option at $1.25/1M input tokens — 17% cheaper than Mistral Medium 3.5. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 256,000 for Mistral Medium 3.5.

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: Mistral Medium 3.5 is a flagship model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Mistral Medium 3.5 is built for complex tasks that require deeper reasoning, while Muse Spark 1.2 offers better value for routine operations.

Output costs matter too. Mistral Medium 3.5 charges $7.50/1M 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. Muse Spark 1.2 has the edge here at $4.25/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Mistral Medium 3.5 when:

  • • You're already using Mistral AI's API ecosystem

Choose Muse Spark 1.2 when:

  • • Budget is a primary concern
  • • You need a larger context window (1,000,000 tokens)
  • • You need more capabilities (audio, video)
  • • 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

Mistral Medium 3.5

  • Input pricing: $1.50/M tokens
  • Output pricing: $7.50/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Muse Spark 1.2
  • Higher output cost than Muse Spark 1.2
  • 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

  • Trade-offs are minor in this matchup.

Try Different Scenarios

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

Mistral Medium 3.5 (Mistral AI)

Muse Spark 1.2 (Meta (via Together AI))

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Start using Muse Spark 1.2 today

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Frequently Asked Questions

Which is cheaper, Mistral Medium 3.5 or Muse Spark 1.2?
Muse Spark 1.2 is cheaper for input tokens at $1.25 per million tokens vs $1.50 for Mistral Medium 3.5 — that's 17% savings on input costs.
What is the context window difference between Mistral Medium 3.5 and Muse Spark 1.2?
Mistral Medium 3.5 supports 256,000 tokens while Muse Spark 1.2 supports 1,000,000 tokens — a difference of 744,000 tokens in favor of Muse Spark 1.2.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, Muse Spark 1.2 is the lower-cost option, while Muse Spark 1.2 offers a larger context window (1,000,000 vs 256,000 tokens). Choose Muse Spark 1.2 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, Mistral Medium 3.5 costs about $15.75/month and Muse Spark 1.2 costs about $10.125/month. Overall, Muse Spark 1.2 has lower combined input + output rates ($1.25 in, $4.25 out) vs Mistral Medium 3.5.
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.

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