Llama 3.1 405B vs Ministral 3 8B
Llama 3.1 405B vs Ministral 3 8B: Ministral 3 8B is cheaper for input-heavy usage ($0.15/M vs $3.50/M input tokens), while Ministral 3 8B is better for long-context tasks (256,000 tokens).
Direct answer: choose Ministral 3 8B for lower token spend and choose Ministral 3 8B 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 405B
Ministral 3 8B
Cost Differences
Ministral 3 8B costs less than Llama 3.1 405B
Quick Recommendation
Winner for direct API pricing: Ministral 3 8B. At the default workload, Ministral 3 8B saves about $15.075/month ($183.4125/year) versus Llama 3.1 405B.
Feature Comparison
| Feature | Llama 3.1 405B | Ministral 3 8B |
|---|---|---|
| Provider | Meta (via Together AI) | Mistral AI |
| Input Price | $3.50/1M tokens | $0.15/1M tokens |
| Output Price | $3.50/1M tokens | $0.15/1M tokens |
| Context Window | 128,000 tokens | 256,000 tokens |
| Max Output | 32,768 tokens | 32,768 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textvision |
| Release Date | 7/23/2024 | 12/2/2025 |
Llama 3.1 405B vs Ministral 3 8B: Which Should You Choose?
Choosing between Llama 3.1 405B and Ministral 3 8B depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 8B is the more affordable option at $0.15/1M input tokens — 96% cheaper than Llama 3.1 405B. Meanwhile, Ministral 3 8B offers a significantly larger context window at 256,000 tokens vs 128,000 for Llama 3.1 405B.
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 3.1 405B is a flagship model while Ministral 3 8B is efficient. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while Ministral 3 8B offers better value for routine operations.
Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $0.15 for Ministral 3 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Ministral 3 8B has the edge here at $0.15/1M output tokens.
Multimodal capabilities: Ministral 3 8B supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Llama 3.1 405B when:
- • You need more capabilities (code, reasoning)
- • You're already using Meta (via Together AI)'s API ecosystem
Choose Ministral 3 8B when:
- • Budget is a primary concern
- • You need a larger context window (256,000 tokens)
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Llama 3.1 405B
- • Input pricing: $3.50/M tokens
- • Output pricing: $3.50/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Ministral 3 8B
- • Higher output cost than Ministral 3 8B
- • Smaller context window than Ministral 3 8B
Ministral 3 8B
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.15/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 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
Llama 3.1 405B (Meta (via Together AI))
Ministral 3 8B (Mistral AI)
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, Llama 3.1 405B or Ministral 3 8B?▼
What is the context window difference between Llama 3.1 405B and Ministral 3 8B?▼
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