Llama 3.1 8B vs Codestral 22B v0.1
At a Glance
| Compare |  Llama 3.1 8BMeta |  Codestral 22B v0.1Mistral 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-3.1-8B | Codestral-22B-v0.1 |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 3 1 8b | Codestral 22b V0 1 |
| Model | Llama-3.1-8B | Codestral-22B-v0.1 |
| Version | Llama-3.1-8B | Codestral-22B-v0.1 |
| 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 | 8B | 22.2B |
| 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 | generation |
Llama 3.1 8B Capabilities
Codestral 22B v0.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B vs Codestral 22B v0.1 FAQs
Is Llama 3.1 8B or Codestral 22B v0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.1 8B or Codestral 22B v0.1?+
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 8B or Codestral 22B v0.1?+
Llama 3.1 8B has the larger sourced context window. Llama 3.1 8B supports 131,072 tokens and Codestral 22B v0.1 supports 32,768 tokens.
Which performs better in benchmarks, Llama 3.1 8B or Codestral 22B v0.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 8B or Codestral 22B v0.1 be self-hosted?+
Both models have the same sourced self-hosting status: supported. Llama 3.1 8B is open weight; Codestral 22B v0.1 is open weight.
Can Llama 3.1 8B and Codestral 22B v0.1 understand images?+
Llama 3.1 8B is not documented with image input; Codestral 22B v0.1 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 3.1 8B or Codestral 22B v0.1?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Llama 3.1 8B and Codestral 22B v0.1 support reasoning and tool use?+
Llama 3.1 8B: none of these features are definitively sourced. Codestral 22B v0.1: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.1 8B or Codestral 22B v0.1?+
Llama 3.1 8B has 1 sourced provider route; Codestral 22B v0.1 has 0, so Llama 3.1 8B has broader tracked availability.
Which offers better value, Llama 3.1 8B or Codestral 22B v0.1?+
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.