Gemini 3.5 Flash vs Codestral 22B v0.1
At a Glance
| Compare |  Gemini 3.5 FlashGoogle DeepMind |  Codestral 22B v0.1Mistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #15 of 4672.1 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #25 of 44$0.140 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #15 of 3856.8 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.50Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $9.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 33K |
| Model facts checked | Aug 29, 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 | Gemini 3.5 Flash | Codestral-22B-v0.1 |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemini 3 | Codestral 22b V0 1 |
| Model | Gemini 3.5 Flash | Codestral-22B-v0.1 |
| Version | Gemini 3.5 Flash | Codestral-22B-v0.1 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 33K |
| Total parameters | Unknown | 22.2B |
| Active parameters | Unknown | Unknown |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | generation |
Gemini 3.5 Flash Capabilities
Codestral 22B v0.1 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Gemini 3.5 FlashGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.5 FlashGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.5 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.5 Flash vs Codestral 22B v0.1 FAQs
Is Gemini 3.5 Flash or Codestral 22B v0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.5 Flash or Codestral 22B v0.1?+
Only Gemini 3.5 Flash has a directly sourced input price: $1.50 per million tokens. Only Gemini 3.5 Flash has a directly sourced output price: $9.00 per million tokens.
Which has a larger context window, Gemini 3.5 Flash or Codestral 22B v0.1?+
Gemini 3.5 Flash has the larger sourced context window. Gemini 3.5 Flash supports 1,049K and Codestral 22B v0.1 supports 33K.
Which performs better in benchmarks, Gemini 3.5 Flash 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 Gemini 3.5 Flash or Codestral 22B v0.1 be self-hosted?+
Codestral 22B v0.1 is the only model in this pair currently marked as self-hostable. Gemini 3.5 Flash is not marked open weight; Codestral 22B v0.1 is open weight.
Can Gemini 3.5 Flash and Codestral 22B v0.1 understand images?+
Gemini 3.5 Flash is 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, Gemini 3.5 Flash or Codestral 22B v0.1?+
Neither has a larger sourced maximum output. Gemini 3.5 Flash is 66K and Codestral 22B v0.1 is —.
Do Gemini 3.5 Flash and Codestral 22B v0.1 support reasoning and tool use?+
Gemini 3.5 Flash: reasoning, tool calling, and image input. 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, Gemini 3.5 Flash or Codestral 22B v0.1?+
Gemini 3.5 Flash has 2 sourced provider routes; Codestral 22B v0.1 has 0, so Gemini 3.5 Flash has broader tracked availability.
Which offers better value, Gemini 3.5 Flash 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.