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Llama 4 Scout vs Mistral Medium 3.5

Llama 4 Scout vs Mistral Medium 3.5: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $1.50/M input tokens), while Llama 4 Scout is better for long-context tasks (10,000,000 tokens).

Direct answer: choose Llama 4 Scout for lower token spend and choose Llama 4 Scout when your workload needs longer context.

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

Meta (via Together AI)
Llama 4 Scout
vs
Mistral AI
Mistral Medium 3.5

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

Llama 4 Scout

Per Request:$0.000230
Daily:$0.023
Monthly:$0.69
Yearly:$8.395

Mistral Medium 3.5

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

Cost Differences

+$0.005020
Per Request
+$0.502
Daily
+$15.06
Monthly
+$183.23
Yearly

Mistral Medium 3.5 costs more than Llama 4 Scout

Feature Comparison

FeatureLlama 4 ScoutMistral Medium 3.5
ProviderMeta (via Together AI)Mistral AI
Input Price$0.08/1M tokens$1.50/1M tokens
Output Price$0.30/1M tokens$7.50/1M tokens
Context Window10,000,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientflagship
Capabilities
textvisioncode
textvisioncodereasoning
Release Date4/5/20254/29/2026

Llama 4 Scout vs Mistral Medium 3.5: Which Should You Choose?

Choosing between Llama 4 Scout and Mistral Medium 3.5 depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens95% cheaper than Mistral Medium 3.5. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 256,000 for Mistral Medium 3.5.

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

These models target different tiers: Llama 4 Scout is a efficient model while Mistral Medium 3.5 is flagship. This means they're optimized for different workloads. Mistral Medium 3.5 targets more demanding workloads, while Llama 4 Scout provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 4 Scout charges $0.30/1M output tokens vs $7.50 for Mistral Medium 3.5. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M 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 Llama 4 Scout when:

  • • Budget is a primary concern
  • • You need a larger context window (10,000,000 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Mistral Medium 3.5 when:

  • • You need more capabilities (reasoning)
  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

Llama 4 Scout

  • Input pricing: $0.08/M tokens
  • Output pricing: $0.30/M tokens
  • Context window: 10,000,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

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 Llama 4 Scout
  • Higher output cost than Llama 4 Scout
  • Smaller context window than Llama 4 Scout

Try Different Scenarios

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

Llama 4 Scout (Meta (via Together AI))

Mistral Medium 3.5 (Mistral AI)

Start using Llama 4 Scout today

Sign Up for Meta (via Together AI)

Start using Mistral Medium 3.5 today

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Frequently Asked Questions

Which is cheaper, Llama 4 Scout or Mistral Medium 3.5?
Llama 4 Scout is cheaper for input tokens at $0.08 per million tokens vs $1.50 for Mistral Medium 3.5 — that's 95% savings on input costs.
What is the context window difference between Llama 4 Scout and Mistral Medium 3.5?
Llama 4 Scout supports 10,000,000 tokens while Mistral Medium 3.5 supports 256,000 tokens — a difference of 9,744,000 tokens in favor of Llama 4 Scout.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 4 Scout is the lower-cost option, while Llama 4 Scout offers a larger context window (10,000,000 vs 256,000 tokens). Choose Llama 4 Scout for budget sensitivity or Llama 4 Scout 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, Llama 4 Scout costs about $0.69/month and Mistral Medium 3.5 costs about $15.75/month. Overall, Llama 4 Scout has lower combined input + output rates ($0.08 in, $0.30 out) vs Mistral Medium 3.5.
Where can I compare Meta (via Together AI) and Mistral AI API pricing beyond this model matchup?
See the Meta (via Together AI) vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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