Llama 3.1 70B vs Ministral 8B Instruct 2410
At a Glance
| Compare | Llama 3.1 70BMeta | Ministral 8B Instruct 2410Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 131K | 33K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Llama-3.1-70B | Ministral-8B-Instruct-2410 |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 3 1 70b | Ministral 8b Instruct 2410 |
| Model | Llama-3.1-70B | Ministral-8B-Instruct-2410 |
| Version | Llama-3.1-70B | Ministral-8B-Instruct-2410 |
| Lifecycle | active | active |
| Released | 2024-07-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 33K |
| Total parameters | 70.6B | 8B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard) | Unknown |
| Capabilities | generation | chat, generation, tools |
Llama 3.1 70B Capabilities
Ministral 8B Instruct 2410 Capabilities
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 70B vs Ministral 8B Instruct 2410 FAQs
Is Llama 3.1 70B or Ministral 8B Instruct 2410 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 70B and Ministral 8B Instruct 2410, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 70B or Ministral 8B Instruct 2410?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Llama 3.1 70B or Ministral 8B Instruct 2410?+
Llama 3.1 70B has the larger sourced context window. Llama 3.1 70B supports 131K and Ministral 8B Instruct 2410 supports 33K.
Which performs better in benchmarks, Llama 3.1 70B or Ministral 8B Instruct 2410?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 70B or Ministral 8B Instruct 2410 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 70B is open weight; Ministral 8B Instruct 2410 is open weight.
Can Llama 3.1 70B and Ministral 8B Instruct 2410 understand images?+
Llama 3.1 70B is not documented with image input; Ministral 8B Instruct 2410 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 70B or Ministral 8B Instruct 2410?+
Neither has a larger sourced maximum output. Llama 3.1 70B is — and Ministral 8B Instruct 2410 is —.
Do Llama 3.1 70B and Ministral 8B Instruct 2410 support reasoning and tool use?+
Llama 3.1 70B: none of these features are definitively sourced. Ministral 8B Instruct 2410: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 70B or Ministral 8B Instruct 2410?+
Llama 3.1 70B has 1 sourced provider route; Ministral 8B Instruct 2410 has 0, so Llama 3.1 70B has broader tracked availability.
Which offers better value, Llama 3.1 70B or Ministral 8B Instruct 2410?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.