Codestral 22B v0.1 vs GLM 5.3 Flash
At a Glance
| Compare |  Codestral 22B v0.1Mistral AI |  GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 33K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 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 | GLM-5.3-Flash |
|---|---|---|
| Developer | Mistral AI | Z.ai |
| Family | Codestral 22b V0 1 | Glm 5 3 Flash |
| Model | Codestral-22B-v0.1 | GLM-5.3-Flash |
| Version | Codestral-22B-v0.1 | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 33K | 1,000K |
| Total parameters | 22.2B | 320B |
| Active parameters | Unknown | 18B |
| License | other | MIT |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | generation | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Codestral 22B v0.1 Capabilities
GLM 5.3 Flash 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 GLM 5.3 Flash FAQs
Is Codestral 22B v0.1 or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Codestral 22B v0.1 and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Codestral 22B v0.1 or GLM 5.3 Flash?+
Only GLM 5.3 Flash has a directly sourced input price: $0.075 per million tokens. Only GLM 5.3 Flash has a directly sourced output price: $0.25 per million tokens.
Which has a larger context window, Codestral 22B v0.1 or GLM 5.3 Flash?+
GLM 5.3 Flash has the larger sourced context window. Codestral 22B v0.1 supports 33K and GLM 5.3 Flash supports 1,000K.
Which performs better in benchmarks, Codestral 22B v0.1 or GLM 5.3 Flash?+
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 GLM 5.3 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. Codestral 22B v0.1 is open weight; GLM 5.3 Flash is open weight.
Can Codestral 22B v0.1 and GLM 5.3 Flash understand images?+
Codestral 22B v0.1 is not documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Codestral 22B v0.1 or GLM 5.3 Flash?+
Neither has a larger sourced maximum output. Codestral 22B v0.1 is — and GLM 5.3 Flash is 131K.
Do Codestral 22B v0.1 and GLM 5.3 Flash support reasoning and tool use?+
Codestral 22B v0.1: none of these features are definitively sourced. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Codestral 22B v0.1 or GLM 5.3 Flash?+
Codestral 22B v0.1 has 0 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, Codestral 22B v0.1 or GLM 5.3 Flash?+
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.