Llama-4-Scout-17B-16E-Instruct vs Ministral-3-3B-Base-2512
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Llama-4-Scout-17B-16E-Instruct | Ministral-3-3B-Base-2512 |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 4 Scout 17b 16e Instruct | Ministral 3 3b Base 2512 |
| Model | Llama-4-Scout-17B-16E-Instruct | Ministral-3-3B-Base-2512 |
| Version | Llama-4-Scout-17B-16E-Instruct | Ministral-3-3B-Base-2512 |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 10,000,000 | 262,144 |
| Total parameters | 108,641,793,536 | 4,251,743,232 |
| Active parameters | 17,000,000,000 | Unknown |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, tools | generation |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Llama-4-Scout-17B-16E-Instruct Capabilities
Ministral-3-3B-Base-2512 Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Primary Evidence
Sources and Freshness
Questions
Llama-4-Scout-17B-16E-Instruct vs Ministral-3-3B-Base-2512 FAQs
Is Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama-4-Scout-17B-16E-Instruct and Ministral-3-3B-Base-2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512?+
Only Llama-4-Scout-17B-16E-Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama-4-Scout-17B-16E-Instruct has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512?+
Llama-4-Scout-17B-16E-Instruct has the larger sourced context window. Llama-4-Scout-17B-16E-Instruct supports 10,000,000 and Ministral-3-3B-Base-2512 supports 262,144.
Which performs better in benchmarks, Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama-4-Scout-17B-16E-Instruct is open weight; Ministral-3-3B-Base-2512 is open weight.
Can Llama-4-Scout-17B-16E-Instruct and Ministral-3-3B-Base-2512 understand images?+
Llama-4-Scout-17B-16E-Instruct is documented with image input; Ministral-3-3B-Base-2512 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512?+
Neither has a larger sourced maximum output. Llama-4-Scout-17B-16E-Instruct is — and Ministral-3-3B-Base-2512 is —.
Do Llama-4-Scout-17B-16E-Instruct and Ministral-3-3B-Base-2512 support reasoning and tool use?+
Llama-4-Scout-17B-16E-Instruct: tool calling and image input. Ministral-3-3B-Base-2512: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512?+
Llama-4-Scout-17B-16E-Instruct has 2 sourced provider routes; Ministral-3-3B-Base-2512 has 0, so Llama-4-Scout-17B-16E-Instruct has broader tracked availability.
Which offers better value, Llama-4-Scout-17B-16E-Instruct or Ministral-3-3B-Base-2512?+
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.