Codestral 22B v0.1 vs NVIDIA Nemotron 3 Nano 30B A3B BF16
At a Glance
| Compare |  Codestral 22B v0.1Mistral AI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.050Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 33K | 262K |
| 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 | Codestral-22B-v0.1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
|---|---|---|
| Developer | Mistral AI | NVIDIA |
| Family | Codestral 22b V0 1 | Nvidia Nemotron 3 Nano 30b A3b Bf16 |
| Model | Codestral-22B-v0.1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
| Version | Codestral-22B-v0.1 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-15 |
| Knowledge cutoff | Unknown | 2025-11-28 |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 33K | 262K |
| Total parameters | 22.2B | 31.6B |
| Active parameters | Unknown | 3.5B |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | generation | chat, generation, reasoning, tools |
Codestral 22B v0.1 Capabilities
NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Codestral-22B-v0.1Mistral AI | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Codestral-22B-v0.1Mistral AI | cross-developer peerstext |
 Gemini 3.1 ProGoogle DeepMind | vs | Codestral-22B-v0.1Mistral AI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Codestral-22B-v0.1Mistral AI | cross-developer peerstext |
Codestral-22B-v0.1Mistral AI | vs | Grok 4.6xAI | cross-developer peerstext |
Codestral-22B-v0.1Mistral AI | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Codestral-22B-v0.1Mistral AI | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Codestral-22B-v0.1Mistral AI | cross-developer peerstext |
Codestral-22B-v0.1Mistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Codestral-22B-v0.1Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Codestral-22B-v0.1Mistral AI | cross-developer peerstext |
Codestral-22B-v0.1Mistral AI | vs | Mistral Large 3Mistral AI | developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Codestral 22B v0.1 vs NVIDIA Nemotron 3 Nano 30B A3B BF16 FAQs
Is Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Codestral 22B v0.1 and NVIDIA Nemotron 3 Nano 30B A3B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Only NVIDIA Nemotron 3 Nano 30B A3B BF16 has a directly sourced input price: $0.050 per million tokens. Only NVIDIA Nemotron 3 Nano 30B A3B BF16 has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced context window. Codestral 22B v0.1 supports 33K and NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K.
Which performs better in benchmarks, Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Codestral 22B v0.1 is open weight; NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight.
Can Codestral 22B v0.1 and NVIDIA Nemotron 3 Nano 30B A3B BF16 understand images?+
Codestral 22B v0.1 is not documented with image input; NVIDIA Nemotron 3 Nano 30B A3B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Neither has a larger sourced maximum output. Codestral 22B v0.1 is — and NVIDIA Nemotron 3 Nano 30B A3B BF16 is 1,049K.
Do Codestral 22B v0.1 and NVIDIA Nemotron 3 Nano 30B A3B BF16 support reasoning and tool use?+
Codestral 22B v0.1: none of these features are definitively sourced. NVIDIA Nemotron 3 Nano 30B A3B BF16: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
Codestral 22B v0.1 has 0 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3, so NVIDIA Nemotron 3 Nano 30B A3B BF16 has broader tracked availability.
Which offers better value, Codestral 22B v0.1 or NVIDIA Nemotron 3 Nano 30B A3B BF16?+
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.