Llama 3.1 70B Instruct vs Codestral 22B v0.1
At a Glance
| Compare |  Codestral 22B v0.1Mistral AI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Sep 22, 2026 | Not reported |
| 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-Instruct | Codestral-22B-v0.1 |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 3 1 70b Instruct | Codestral 22b V0 1 |
| Model | Llama-3.1-70B-Instruct | Codestral-22B-v0.1 |
| Version | Llama-3.1-70B-Instruct | 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 | 70.6B | 22.2B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, tools | generation |
Llama 3.1 70B Instruct Capabilities
Codestral 22B v0.1 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
Claude Fable 5.1Anthropic | vs | cross-developer peerstext | |
 Gemini 3.1 ProGoogle DeepMind | vs | cross-developer peerstext | |
 DeepSeek-V4.1-FlashDeepSeek | vs | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | cross-developer peerstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Seed 2.1 ProByteDance Seed | vs | cross-developer peerstext | |
| vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 70B Instruct vs Codestral 22B v0.1 FAQs
Is Llama 3.1 70B Instruct or Codestral 22B v0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 70B Instruct 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 70B Instruct or Codestral 22B v0.1?+
Only Llama 3.1 70B Instruct has a directly sourced input price: $0.40 per million tokens. Only Llama 3.1 70B Instruct has a directly sourced output price: $0.40 per million tokens.
Which has a larger context window, Llama 3.1 70B Instruct or Codestral 22B v0.1?+
Llama 3.1 70B Instruct has the larger sourced context window. Llama 3.1 70B Instruct supports 131K and Codestral 22B v0.1 supports 33K.
Which performs better in benchmarks, Llama 3.1 70B Instruct 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 70B Instruct or Codestral 22B v0.1 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 70B Instruct is open weight; Codestral 22B v0.1 is open weight.
Can Llama 3.1 70B Instruct and Codestral 22B v0.1 understand images?+
Llama 3.1 70B Instruct 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 70B Instruct or Codestral 22B v0.1?+
Neither has a larger sourced maximum output. Llama 3.1 70B Instruct is — and Codestral 22B v0.1 is —.
Do Llama 3.1 70B Instruct and Codestral 22B v0.1 support reasoning and tool use?+
Llama 3.1 70B Instruct: tool calling. 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 70B Instruct or Codestral 22B v0.1?+
Llama 3.1 70B Instruct has 1 sourced provider route; Codestral 22B v0.1 has 0, so Llama 3.1 70B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 70B Instruct 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.